Primary Constraint on the Total Cost
# cost constrained - optimize p and n2
# CRT('order = 0' or 'rhots = 0')
crt <- cosa.crd2(order = 0,
constrain = "cost", cost = 12500,
cn1 = c(5, 2), cn2 = c(50, 20),
es = .20, power = .80, rho2 = .20,
g2 = 1, r21 = .20, r22 = .30,
p = NULL, n1 = 20, n2 = NULL)## Solution converged with LBFGS
##
## Rounded solution:
## ---------------------------------------------------
## [n1] n2 p [cost] mdes 95%lcl 95%ucl power
## 20 132 0.386 12510 0.209 0.063 0.356 0.764
## ---------------------------------------------------
## Per unit marginal costs:
## Level 1 treatment: 5
## Level 1 control: 2
## Level 2 treatment: 50
## Level 2 control: 20
## ---------------------------------------------------
## MDES = 0.209 (with power = 80)
## power = 0.764 (for ES = 0.2)
## ---------------------------------------------------
## []: point constrained (fixed)
## <<: bound constrained
## Random assignment design# comparisons to CRDs
# CRD w/ linear score variable interacting with the treatment
crd1 <- cosa.crd2(order = 1, interaction = TRUE,
constrain = "cost", cost = 12500,
cn1 = c(5, 2), cn2 = c(50, 20),
es = .20, power = .80, rho2 = .20,
g2 = 1, r21 = .20, r22 = .30,
p = .386, n1 = 24, n2 = NULL)##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.29 | p = 0.386
## RDDE = 2.736
##
## Solution converged with LBFGS
##
## Rounded solution:
## ---------------------------------------------------
## [n1] n2 [p] [cost] mdes 95%lcl 95%ucl power
## 24 116 0.388 12478 0.364 0.109 0.619 0.338
## ---------------------------------------------------
## Per unit marginal costs:
## Level 1 treatment: 5
## Level 1 control: 2
## Level 2 treatment: 50
## Level 2 control: 20
## ---------------------------------------------------
## MDES = 0.364 (with power = 80)
## power = 0.338 (for ES = 0.2)
## ---------------------------------------------------
## []: point constrained (fixed)
## <<: bound constrained
## Regression discontinuity design# CRD w/ quadratic score variable interacting with the treatment
crd2 <- cosa.crd2(order = 2, interaction = TRUE,
constrain = "cost", cost = 12500,
cn1 = c(5, 2), cn2 = c(50, 20),
es = .20, power = .80, rho2 = .20,
g2 = 1, r21 = .20, r22 = .30,
p = .386, n1 = 24, n2 = NULL)##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.29 | p = 0.386
## RDDE = 4.992
##
## Solution converged with LBFGS
##
## Rounded solution:
## ---------------------------------------------------
## [n1] n2 [p] [cost] mdes 95%lcl 95%ucl power
## 24 116 0.388 12478 0.491 0.147 0.836 0.207
## ---------------------------------------------------
## Per unit marginal costs:
## Level 1 treatment: 5
## Level 1 control: 2
## Level 2 treatment: 50
## Level 2 control: 20
## ---------------------------------------------------
## MDES = 0.491 (with power = 80)
## power = 0.207 (for ES = 0.2)
## ---------------------------------------------------
## []: point constrained (fixed)
## <<: bound constrained
## Regression discontinuity design# example plots
par(mfrow = c(2, 3), mai = c(.6, .6, .6, .2))
# compare minimum detectable effect size and 95% CI
plot(crt, ypar = "mdes", xpar = "n2",
ylim = c(.10, .90), xlim = c(10, 800),
ylab = "MDES (with Power = .80)", xlab = "Number of Clusters",
main = expression(CRT), locate = TRUE)##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.878 95% CI [0.241,1.515]
## ---------------------------------------
## Degrees of freedom: 7
## Standardized standard error: 0.269
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.848 95% CI [0.235,1.461]
## ---------------------------------------
## Degrees of freedom: 7.5
## Standardized standard error: 0.263
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.82 95% CI [0.228,1.413]
## ---------------------------------------
## Degrees of freedom: 8
## Standardized standard error: 0.257
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.796 95% CI [0.223,1.369]
## ---------------------------------------
## Degrees of freedom: 8.5
## Standardized standard error: 0.251
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.773 95% CI [0.217,1.33]
## ---------------------------------------
## Degrees of freedom: 9
## Standardized standard error: 0.246
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.753 95% CI [0.212,1.294]
## ---------------------------------------
## Degrees of freedom: 9.5
## Standardized standard error: 0.241
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.734 95% CI [0.208,1.26]
## ---------------------------------------
## Degrees of freedom: 10
## Standardized standard error: 0.236
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.717 95% CI [0.203,1.23]
## ---------------------------------------
## Degrees of freedom: 10.5
## Standardized standard error: 0.232
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.7 95% CI [0.199,1.201]
## ---------------------------------------
## Degrees of freedom: 11
## Standardized standard error: 0.228
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.685 95% CI [0.195,1.175]
## ---------------------------------------
## Degrees of freedom: 11.5
## Standardized standard error: 0.224
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.671 95% CI [0.192,1.15]
## ---------------------------------------
## Degrees of freedom: 12
## Standardized standard error: 0.22
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.658 95% CI [0.189,1.127]
## ---------------------------------------
## Degrees of freedom: 12.5
## Standardized standard error: 0.216
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.645 95% CI [0.185,1.105]
## ---------------------------------------
## Degrees of freedom: 13
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.634 95% CI [0.182,1.085]
## ---------------------------------------
## Degrees of freedom: 13.5
## Standardized standard error: 0.21
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.622 95% CI [0.179,1.065]
## ---------------------------------------
## Degrees of freedom: 14
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.612 95% CI [0.177,1.047]
## ---------------------------------------
## Degrees of freedom: 14.5
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.602 95% CI [0.174,1.03]
## ---------------------------------------
## Degrees of freedom: 15
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.592 95% CI [0.171,1.013]
## ---------------------------------------
## Degrees of freedom: 15.5
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.583 95% CI [0.169,0.997]
## ---------------------------------------
## Degrees of freedom: 16
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.575 95% CI [0.167,0.982]
## ---------------------------------------
## Degrees of freedom: 16.5
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.566 95% CI [0.164,0.968]
## ---------------------------------------
## Degrees of freedom: 17
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.558 95% CI [0.162,0.954]
## ---------------------------------------
## Degrees of freedom: 17.5
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.551 95% CI [0.16,0.941]
## ---------------------------------------
## Degrees of freedom: 18
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.543 95% CI [0.158,0.929]
## ---------------------------------------
## Degrees of freedom: 18.5
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.536 95% CI [0.156,0.916]
## ---------------------------------------
## Degrees of freedom: 19
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.53 95% CI [0.155,0.905]
## ---------------------------------------
## Degrees of freedom: 19.5
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.523 95% CI [0.153,0.894]
## ---------------------------------------
## Degrees of freedom: 20
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.517 95% CI [0.151,0.883]
## ---------------------------------------
## Degrees of freedom: 20.5
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.511 95% CI [0.149,0.872]
## ---------------------------------------
## Degrees of freedom: 21
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.505 95% CI [0.148,0.862]
## ---------------------------------------
## Degrees of freedom: 21.5
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.499 95% CI [0.146,0.853]
## ---------------------------------------
## Degrees of freedom: 22
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.494 95% CI [0.145,0.843]
## ---------------------------------------
## Degrees of freedom: 22.5
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.489 95% CI [0.143,0.834]
## ---------------------------------------
## Degrees of freedom: 23
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.484 95% CI [0.142,0.826]
## ---------------------------------------
## Degrees of freedom: 23.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.479 95% CI [0.14,0.817]
## ---------------------------------------
## Degrees of freedom: 24
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.474 95% CI [0.139,0.809]
## ---------------------------------------
## Degrees of freedom: 24.5
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.469 95% CI [0.138,0.801]
## ---------------------------------------
## Degrees of freedom: 25
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.465 95% CI [0.137,0.793]
## ---------------------------------------
## Degrees of freedom: 25.5
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.46 95% CI [0.135,0.786]
## ---------------------------------------
## Degrees of freedom: 26
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.456 95% CI [0.134,0.778]
## ---------------------------------------
## Degrees of freedom: 26.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.452 95% CI [0.133,0.771]
## ---------------------------------------
## Degrees of freedom: 27
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.448 95% CI [0.132,0.764]
## ---------------------------------------
## Degrees of freedom: 27.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.444 95% CI [0.131,0.757]
## ---------------------------------------
## Degrees of freedom: 28
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.44 95% CI [0.13,0.751]
## ---------------------------------------
## Degrees of freedom: 28.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.437 95% CI [0.129,0.745]
## ---------------------------------------
## Degrees of freedom: 29
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.433 95% CI [0.128,0.738]
## ---------------------------------------
## Degrees of freedom: 29.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.429 95% CI [0.127,0.732]
## ---------------------------------------
## Degrees of freedom: 30
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.426 95% CI [0.126,0.726]
## ---------------------------------------
## Degrees of freedom: 30.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.423 95% CI [0.125,0.72]
## ---------------------------------------
## Degrees of freedom: 31
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.419 95% CI [0.124,0.715]
## ---------------------------------------
## Degrees of freedom: 31.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.416 95% CI [0.123,0.709]
## ---------------------------------------
## Degrees of freedom: 32
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.413 95% CI [0.122,0.704]
## ---------------------------------------
## Degrees of freedom: 32.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.41 95% CI [0.121,0.699]
## ---------------------------------------
## Degrees of freedom: 33
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.407 95% CI [0.12,0.694]
## ---------------------------------------
## Degrees of freedom: 33.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.404 95% CI [0.119,0.688]
## ---------------------------------------
## Degrees of freedom: 34
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.401 95% CI [0.119,0.684]
## ---------------------------------------
## Degrees of freedom: 34.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.398 95% CI [0.118,0.679]
## ---------------------------------------
## Degrees of freedom: 35
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.395 95% CI [0.117,0.674]
## ---------------------------------------
## Degrees of freedom: 35.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.393 95% CI [0.116,0.669]
## ---------------------------------------
## Degrees of freedom: 36
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.39 95% CI [0.115,0.665]
## ---------------------------------------
## Degrees of freedom: 36.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.388 95% CI [0.115,0.66]
## ---------------------------------------
## Degrees of freedom: 37
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.385 95% CI [0.114,0.656]
## ---------------------------------------
## Degrees of freedom: 37.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.383 95% CI [0.113,0.652]
## ---------------------------------------
## Degrees of freedom: 38
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.38 95% CI [0.113,0.648]
## ---------------------------------------
## Degrees of freedom: 38.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.378 95% CI [0.112,0.644]
## ---------------------------------------
## Degrees of freedom: 39
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.375 95% CI [0.111,0.639]
## ---------------------------------------
## Degrees of freedom: 39.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.373 95% CI [0.11,0.636]
## ---------------------------------------
## Degrees of freedom: 40
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.371 95% CI [0.11,0.632]
## ---------------------------------------
## Degrees of freedom: 40.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.369 95% CI [0.109,0.628]
## ---------------------------------------
## Degrees of freedom: 41
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.366 95% CI [0.109,0.624]
## ---------------------------------------
## Degrees of freedom: 41.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.364 95% CI [0.108,0.62]
## ---------------------------------------
## Degrees of freedom: 42
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.362 95% CI [0.107,0.617]
## ---------------------------------------
## Degrees of freedom: 42.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.36 95% CI [0.107,0.613]
## ---------------------------------------
## Degrees of freedom: 43
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.358 95% CI [0.106,0.61]
## ---------------------------------------
## Degrees of freedom: 43.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.356 95% CI [0.106,0.606]
## ---------------------------------------
## Degrees of freedom: 44
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.354 95% CI [0.105,0.603]
## ---------------------------------------
## Degrees of freedom: 44.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.352 95% CI [0.104,0.6]
## ---------------------------------------
## Degrees of freedom: 45
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.35 95% CI [0.104,0.596]
## ---------------------------------------
## Degrees of freedom: 45.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.348 95% CI [0.103,0.593]
## ---------------------------------------
## Degrees of freedom: 46
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.346 95% CI [0.103,0.59]
## ---------------------------------------
## Degrees of freedom: 46.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.345 95% CI [0.102,0.587]
## ---------------------------------------
## Degrees of freedom: 47
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.343 95% CI [0.102,0.584]
## ---------------------------------------
## Degrees of freedom: 47.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.341 95% CI [0.101,0.581]
## ---------------------------------------
## Degrees of freedom: 48
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.339 95% CI [0.101,0.578]
## ---------------------------------------
## Degrees of freedom: 48.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.338 95% CI [0.1,0.575]
## ---------------------------------------
## Degrees of freedom: 49
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.336 95% CI [0.1,0.572]
## ---------------------------------------
## Degrees of freedom: 49.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.334 95% CI [0.099,0.569]
## ---------------------------------------
## Degrees of freedom: 50
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.333 95% CI [0.099,0.567]
## ---------------------------------------
## Degrees of freedom: 50.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.331 95% CI [0.098,0.564]
## ---------------------------------------
## Degrees of freedom: 51
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.329 95% CI [0.098,0.561]
## ---------------------------------------
## Degrees of freedom: 51.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.328 95% CI [0.097,0.558]
## ---------------------------------------
## Degrees of freedom: 52
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.326 95% CI [0.097,0.556]
## ---------------------------------------
## Degrees of freedom: 52.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.325 95% CI [0.097,0.553]
## ---------------------------------------
## Degrees of freedom: 53
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.323 95% CI [0.096,0.551]
## ---------------------------------------
## Degrees of freedom: 53.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.322 95% CI [0.096,0.548]
## ---------------------------------------
## Degrees of freedom: 54
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.32 95% CI [0.095,0.546]
## ---------------------------------------
## Degrees of freedom: 54.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.095,0.543]
## ---------------------------------------
## Degrees of freedom: 55
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.318 95% CI [0.094,0.541]
## ---------------------------------------
## Degrees of freedom: 55.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.316 95% CI [0.094,0.538]
## ---------------------------------------
## Degrees of freedom: 56
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.094,0.536]
## ---------------------------------------
## Degrees of freedom: 56.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.093,0.534]
## ---------------------------------------
## Degrees of freedom: 57
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.093,0.531]
## ---------------------------------------
## Degrees of freedom: 57.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.311 95% CI [0.092,0.529]
## ---------------------------------------
## Degrees of freedom: 58
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.092,0.527]
## ---------------------------------------
## Degrees of freedom: 58.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.308 95% CI [0.092,0.525]
## ---------------------------------------
## Degrees of freedom: 59
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.091,0.522]
## ---------------------------------------
## Degrees of freedom: 59.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.091,0.52]
## ---------------------------------------
## Degrees of freedom: 60
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.518]
## ---------------------------------------
## Degrees of freedom: 60.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.09,0.516]
## ---------------------------------------
## Degrees of freedom: 61
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.09,0.514]
## ---------------------------------------
## Degrees of freedom: 61.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.512]
## ---------------------------------------
## Degrees of freedom: 62
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.089,0.51]
## ---------------------------------------
## Degrees of freedom: 62.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.508]
## ---------------------------------------
## Degrees of freedom: 63
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.506]
## ---------------------------------------
## Degrees of freedom: 63.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.088,0.504]
## ---------------------------------------
## Degrees of freedom: 64
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.088,0.502]
## ---------------------------------------
## Degrees of freedom: 64.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.5]
## ---------------------------------------
## Degrees of freedom: 65
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.087,0.498]
## ---------------------------------------
## Degrees of freedom: 65.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.087,0.496]
## ---------------------------------------
## Degrees of freedom: 66
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.494]
## ---------------------------------------
## Degrees of freedom: 66.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.086,0.493]
## ---------------------------------------
## Degrees of freedom: 67
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.491]
## ---------------------------------------
## Degrees of freedom: 67.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.489]
## ---------------------------------------
## Degrees of freedom: 68
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.085,0.487]
## ---------------------------------------
## Degrees of freedom: 68.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.486]
## ---------------------------------------
## Degrees of freedom: 69
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.484]
## ---------------------------------------
## Degrees of freedom: 69.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.084,0.482]
## ---------------------------------------
## Degrees of freedom: 70
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.084,0.48]
## ---------------------------------------
## Degrees of freedom: 70.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.479]
## ---------------------------------------
## Degrees of freedom: 71
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.477]
## ---------------------------------------
## Degrees of freedom: 71.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.083,0.475]
## ---------------------------------------
## Degrees of freedom: 72
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.474]
## ---------------------------------------
## Degrees of freedom: 72.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.472]
## ---------------------------------------
## Degrees of freedom: 73
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.082,0.471]
## ---------------------------------------
## Degrees of freedom: 73.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.082,0.469]
## ---------------------------------------
## Degrees of freedom: 74
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.467]
## ---------------------------------------
## Degrees of freedom: 74.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.466]
## ---------------------------------------
## Degrees of freedom: 75
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.081,0.464]
## ---------------------------------------
## Degrees of freedom: 75.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.081,0.463]
## ---------------------------------------
## Degrees of freedom: 76
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.461]
## ---------------------------------------
## Degrees of freedom: 76.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.46]
## ---------------------------------------
## Degrees of freedom: 77
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.08,0.458]
## ---------------------------------------
## Degrees of freedom: 77.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.457]
## ---------------------------------------
## Degrees of freedom: 78
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.455]
## ---------------------------------------
## Degrees of freedom: 78.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 79
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.079,0.453]
## ---------------------------------------
## Degrees of freedom: 79.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.079,0.451]
## ---------------------------------------
## Degrees of freedom: 80
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.45]
## ---------------------------------------
## Degrees of freedom: 80.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 81
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.078,0.447]
## ---------------------------------------
## Degrees of freedom: 81.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.078,0.446]
## ---------------------------------------
## Degrees of freedom: 82
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 82.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 83
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.077,0.442]
## ---------------------------------------
## Degrees of freedom: 83.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.077,0.44]
## ---------------------------------------
## Degrees of freedom: 84
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.439]
## ---------------------------------------
## Degrees of freedom: 84.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 85
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 85.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.076,0.435]
## ---------------------------------------
## Degrees of freedom: 86
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.434]
## ---------------------------------------
## Degrees of freedom: 86.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 87
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 87.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 88
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.075,0.429]
## ---------------------------------------
## Degrees of freedom: 88.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.075,0.428]
## ---------------------------------------
## Degrees of freedom: 89
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 89.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 90
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.074,0.424]
## ---------------------------------------
## Degrees of freedom: 90.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.074,0.423]
## ---------------------------------------
## Degrees of freedom: 91
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.422]
## ---------------------------------------
## Degrees of freedom: 91.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 92
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 92.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 93
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.418]
## ---------------------------------------
## Degrees of freedom: 93.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.417]
## ---------------------------------------
## Degrees of freedom: 94
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 94.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 95
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 95.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.072,0.412]
## ---------------------------------------
## Degrees of freedom: 96
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.072,0.411]
## ---------------------------------------
## Degrees of freedom: 96.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 97
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 97.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 98
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.071,0.407]
## ---------------------------------------
## Degrees of freedom: 98.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.071,0.406]
## ---------------------------------------
## Degrees of freedom: 99
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.405]
## ---------------------------------------
## Degrees of freedom: 99.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 100
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 100.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 101
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.07,0.401]
## ---------------------------------------
## Degrees of freedom: 101.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.4]
## ---------------------------------------
## Degrees of freedom: 102
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 102.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 103
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 103.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 104
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.069,0.395]
## ---------------------------------------
## Degrees of freedom: 104.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.069,0.394]
## ---------------------------------------
## Degrees of freedom: 105
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 105.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 106
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 106.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 107
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.068,0.39]
## ---------------------------------------
## Degrees of freedom: 107.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.068,0.389]
## ---------------------------------------
## Degrees of freedom: 108
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 108.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 109
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 109.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 110
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 110.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.384]
## ---------------------------------------
## Degrees of freedom: 111
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.383]
## ---------------------------------------
## Degrees of freedom: 111.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 112
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 112.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 113
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 113.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 114
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.066,0.378]
## ---------------------------------------
## Degrees of freedom: 114.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.066,0.377]
## ---------------------------------------
## Degrees of freedom: 115
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 115.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 116
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 116.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 117
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 117.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.065,0.372]
## ---------------------------------------
## Degrees of freedom: 118
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 118.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 119
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 119.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 120
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 120.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 121
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.064,0.367]
## ---------------------------------------
## Degrees of freedom: 121.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.366]
## ---------------------------------------
## Degrees of freedom: 122
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 122.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 123
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 123.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 124
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 124.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 125
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.063,0.361]
## ---------------------------------------
## Degrees of freedom: 125.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.063,0.36]
## ---------------------------------------
## Degrees of freedom: 126
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 126.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 127
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 127.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 128
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 128.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 129
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.062,0.355]
## ---------------------------------------
## Degrees of freedom: 129.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.355]
## ---------------------------------------
## Degrees of freedom: 130
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 130.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 131
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 131.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 132
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 132.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 133
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 133.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.349]
## ---------------------------------------
## Degrees of freedom: 134
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.349]
## ---------------------------------------
## Degrees of freedom: 134.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 135
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 135.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 136
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 136.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 137
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 137.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 138
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.06,0.344]
## ---------------------------------------
## Degrees of freedom: 138.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.06,0.343]
## ---------------------------------------
## Degrees of freedom: 139
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 139.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 140
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 140.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 141
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 141.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 142
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 142.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 143
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.338]
## ---------------------------------------
## Degrees of freedom: 143.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 144
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 144.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 145
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 145.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 146
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 146.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 147
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 147.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 148
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.332]
## ---------------------------------------
## Degrees of freedom: 148.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 149
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 149.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 150
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 150.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 151
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 151.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 152
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 152.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 153
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.057,0.326]
## ---------------------------------------
## Degrees of freedom: 153.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.057,0.326]
## ---------------------------------------
## Degrees of freedom: 154
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 154.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 155
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 155.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 156
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 156.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 157
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 157.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 158
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 158.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.056,0.321]
## ---------------------------------------
## Degrees of freedom: 159
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 159.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 160
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 160.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 161
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 161.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 162
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 162.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 163
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 163.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 164
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.056,0.315]
## ---------------------------------------
## Degrees of freedom: 164.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.315]
## ---------------------------------------
## Degrees of freedom: 165
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 165.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 166
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 166.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 167
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 167.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 168
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 168.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 169
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 169.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 170
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 170.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.054,0.309]
## ---------------------------------------
## Degrees of freedom: 171
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.054,0.309]
## ---------------------------------------
## Degrees of freedom: 171.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.309]
## ---------------------------------------
## Degrees of freedom: 172
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 172.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 173
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 173.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 174
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 174.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 175
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 175.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 176
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 176.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 177
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.053,0.304]
## ---------------------------------------
## Degrees of freedom: 177.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.303]
## ---------------------------------------
## Degrees of freedom: 178
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.303]
## ---------------------------------------
## Degrees of freedom: 178.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 179
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 179.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 180
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 180.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 181
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 181.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 182
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 182.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 183
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 183.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 184
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.298]
## ---------------------------------------
## Degrees of freedom: 184.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.298]
## ---------------------------------------
## Degrees of freedom: 185
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 185.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 186
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 186.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 187
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 187.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 188
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 188.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 189
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 189.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 190
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 190.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 191
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.292]
## ---------------------------------------
## Degrees of freedom: 191.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.051,0.292]
## ---------------------------------------
## Degrees of freedom: 192
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.051,0.292]
## ---------------------------------------
## Degrees of freedom: 192.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 193
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 193.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 194
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 194.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 195
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 195.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 196
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 196.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 197
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 197.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 198
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 198.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 199
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.05,0.287]
## ---------------------------------------
## Degrees of freedom: 199.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.286]
## ---------------------------------------
## Degrees of freedom: 200
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.286]
## ---------------------------------------
## Degrees of freedom: 200.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 201
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 201.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 202
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 202.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 203
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 203.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 204
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 204.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 205
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 205.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 206
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 206.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 207
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 207.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.281]
## ---------------------------------------
## Degrees of freedom: 208
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 208.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 209
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 209.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 210
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 210.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 211
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 211.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 212
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 212.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 213
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 213.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 214
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 214.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 215
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 215.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 216
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.048,0.275]
## ---------------------------------------
## Degrees of freedom: 216.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.048,0.275]
## ---------------------------------------
## Degrees of freedom: 217
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 217.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 218
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 218.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 219
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 219.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 220
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 220.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 221
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 221.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 222
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 222.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 223
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 223.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 224
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 224.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 225
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 225.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 226
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 226.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 227
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 227.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 228
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 228.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 229
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 229.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 230
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 230.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 231
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 231.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 232
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 232.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 233
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 233.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 234
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 234.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 235
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 235.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.264]
## ---------------------------------------
## Degrees of freedom: 236
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 236.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 237
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 237.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 238
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 238.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 239
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 239.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 240
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 240.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 241
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 241.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 242
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 242.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 243
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 243.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 244
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 244.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 245
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 245.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 246
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.045,0.258]
## ---------------------------------------
## Degrees of freedom: 246.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.045,0.258]
## ---------------------------------------
## Degrees of freedom: 247
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 247.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 248
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 248.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 249
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 249.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 250
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 250.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 251
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 251.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 252
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 252.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 253
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 253.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 254
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 254.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 255
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 255.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 256
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 256.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 257
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 257.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 258
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 258.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 259
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 259.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 260
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 260.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 261
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 261.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 262
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 262.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 263
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 263.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 264
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 264.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 265
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 265.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 266
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 266.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 267
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 267.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 268
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 268.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 269
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.247]
## ---------------------------------------
## Degrees of freedom: 269.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 270
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 270.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 271
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 271.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 272
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 272.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 273
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 273.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 274
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 274.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 275
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 275.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 276
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 276.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 277
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 277.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 278
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 278.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 279
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 279.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 280
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 280.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 281
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 281.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 282
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.042,0.241]
## ---------------------------------------
## Degrees of freedom: 282.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.042,0.241]
## ---------------------------------------
## Degrees of freedom: 283
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.241]
## ---------------------------------------
## Degrees of freedom: 283.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 284
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 284.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 285
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 285.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 286
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 286.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 287
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 287.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 288
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 288.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 289
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 289.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 290
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 290.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 291
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 291.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 292
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 292.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 293
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 293.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 294
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 294.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 295
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 295.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 296
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 296.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 297
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 297.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 298
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 298.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 299
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 299.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 300
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 300.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.233]
## ---------------------------------------
## Degrees of freedom: 301
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.233]
## ---------------------------------------
## Degrees of freedom: 301.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.233]
## ---------------------------------------
## Degrees of freedom: 302
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.233]
## ---------------------------------------
## Degrees of freedom: 302.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.233]
## ---------------------------------------
## Degrees of freedom: 303
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.232]
## ---------------------------------------
## Degrees of freedom: 303.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.232]
## ---------------------------------------
## Degrees of freedom: 304
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.232]
## ---------------------------------------
## Degrees of freedom: 304.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.232]
## ---------------------------------------
## Degrees of freedom: 305
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.232]
## ---------------------------------------
## Degrees of freedom: 305.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.232]
## ---------------------------------------
## Degrees of freedom: 306
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.231]
## ---------------------------------------
## Degrees of freedom: 306.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.231]
## ---------------------------------------
## Degrees of freedom: 307
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.231]
## ---------------------------------------
## Degrees of freedom: 307.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.231]
## ---------------------------------------
## Degrees of freedom: 308
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.231]
## ---------------------------------------
## Degrees of freedom: 308.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.136 95% CI [0.041,0.23]
## ---------------------------------------
## Degrees of freedom: 309
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.041,0.23]
## ---------------------------------------
## Degrees of freedom: 309.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.041,0.23]
## ---------------------------------------
## Degrees of freedom: 310
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.041,0.23]
## ---------------------------------------
## Degrees of freedom: 310.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.041,0.23]
## ---------------------------------------
## Degrees of freedom: 311
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.04,0.229]
## ---------------------------------------
## Degrees of freedom: 311.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.04,0.229]
## ---------------------------------------
## Degrees of freedom: 312
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.04,0.229]
## ---------------------------------------
## Degrees of freedom: 312.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.04,0.229]
## ---------------------------------------
## Degrees of freedom: 313
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.135 95% CI [0.04,0.229]
## ---------------------------------------
## Degrees of freedom: 313.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.229]
## ---------------------------------------
## Degrees of freedom: 314
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.228]
## ---------------------------------------
## Degrees of freedom: 314.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.228]
## ---------------------------------------
## Degrees of freedom: 315
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.228]
## ---------------------------------------
## Degrees of freedom: 315.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.228]
## ---------------------------------------
## Degrees of freedom: 316
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.228]
## ---------------------------------------
## Degrees of freedom: 316.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.227]
## ---------------------------------------
## Degrees of freedom: 317
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.227]
## ---------------------------------------
## Degrees of freedom: 317.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.134 95% CI [0.04,0.227]
## ---------------------------------------
## Degrees of freedom: 318
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.227]
## ---------------------------------------
## Degrees of freedom: 318.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.227]
## ---------------------------------------
## Degrees of freedom: 319
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.227]
## ---------------------------------------
## Degrees of freedom: 319.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.226]
## ---------------------------------------
## Degrees of freedom: 320
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.226]
## ---------------------------------------
## Degrees of freedom: 320.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.226]
## ---------------------------------------
## Degrees of freedom: 321
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.226]
## ---------------------------------------
## Degrees of freedom: 321.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.226]
## ---------------------------------------
## Degrees of freedom: 322
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.226]
## ---------------------------------------
## Degrees of freedom: 322.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.133 95% CI [0.04,0.225]
## ---------------------------------------
## Degrees of freedom: 323
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.225]
## ---------------------------------------
## Degrees of freedom: 323.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.225]
## ---------------------------------------
## Degrees of freedom: 324
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.225]
## ---------------------------------------
## Degrees of freedom: 324.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.225]
## ---------------------------------------
## Degrees of freedom: 325
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.225]
## ---------------------------------------
## Degrees of freedom: 325.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.224]
## ---------------------------------------
## Degrees of freedom: 326
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.224]
## ---------------------------------------
## Degrees of freedom: 326.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.04,0.224]
## ---------------------------------------
## Degrees of freedom: 327
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.039,0.224]
## ---------------------------------------
## Degrees of freedom: 327.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.132 95% CI [0.039,0.224]
## ---------------------------------------
## Degrees of freedom: 328
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.223]
## ---------------------------------------
## Degrees of freedom: 328.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.223]
## ---------------------------------------
## Degrees of freedom: 329
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.223]
## ---------------------------------------
## Degrees of freedom: 329.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.223]
## ---------------------------------------
## Degrees of freedom: 330
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.223]
## ---------------------------------------
## Degrees of freedom: 330.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.223]
## ---------------------------------------
## Degrees of freedom: 331
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.222]
## ---------------------------------------
## Degrees of freedom: 331.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.222]
## ---------------------------------------
## Degrees of freedom: 332
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.222]
## ---------------------------------------
## Degrees of freedom: 332.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.131 95% CI [0.039,0.222]
## ---------------------------------------
## Degrees of freedom: 333
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.222]
## ---------------------------------------
## Degrees of freedom: 333.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.222]
## ---------------------------------------
## Degrees of freedom: 334
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.221]
## ---------------------------------------
## Degrees of freedom: 334.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.221]
## ---------------------------------------
## Degrees of freedom: 335
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.221]
## ---------------------------------------
## Degrees of freedom: 335.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.221]
## ---------------------------------------
## Degrees of freedom: 336
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.221]
## ---------------------------------------
## Degrees of freedom: 336.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.221]
## ---------------------------------------
## Degrees of freedom: 337
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 337.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 338
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.13 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 338.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 339
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 339.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 340
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.22]
## ---------------------------------------
## Degrees of freedom: 340.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.219]
## ---------------------------------------
## Degrees of freedom: 341
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.219]
## ---------------------------------------
## Degrees of freedom: 341.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.219]
## ---------------------------------------
## Degrees of freedom: 342
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.219]
## ---------------------------------------
## Degrees of freedom: 342.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.219]
## ---------------------------------------
## Degrees of freedom: 343
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.129 95% CI [0.039,0.219]
## ---------------------------------------
## Degrees of freedom: 343.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.039,0.218]
## ---------------------------------------
## Degrees of freedom: 344
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.039,0.218]
## ---------------------------------------
## Degrees of freedom: 344.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.218]
## ---------------------------------------
## Degrees of freedom: 345
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.218]
## ---------------------------------------
## Degrees of freedom: 345.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.218]
## ---------------------------------------
## Degrees of freedom: 346
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.218]
## ---------------------------------------
## Degrees of freedom: 346.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 347
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 347.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 348
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 348.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.128 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 349
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 349.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.217]
## ---------------------------------------
## Degrees of freedom: 350
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.216]
## ---------------------------------------
## Degrees of freedom: 350.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.216]
## ---------------------------------------
## Degrees of freedom: 351
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.216]
## ---------------------------------------
## Degrees of freedom: 351.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.216]
## ---------------------------------------
## Degrees of freedom: 352
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.216]
## ---------------------------------------
## Degrees of freedom: 352.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.216]
## ---------------------------------------
## Degrees of freedom: 353
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 353.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 354
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.127 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 354.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 355
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 355.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 356
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.215]
## ---------------------------------------
## Degrees of freedom: 356.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 357
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 357.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 358
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 358.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 359
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 359.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.126 95% CI [0.038,0.214]
## ---------------------------------------
## Degrees of freedom: 360
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.038,0.213]
## ---------------------------------------
## Degrees of freedom: 360.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.038,0.213]
## ---------------------------------------
## Degrees of freedom: 361
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.038,0.213]
## ---------------------------------------
## Degrees of freedom: 361.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.038,0.213]
## ---------------------------------------
## Degrees of freedom: 362
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.038,0.213]
## ---------------------------------------
## Degrees of freedom: 362.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.038,0.213]
## ---------------------------------------
## Degrees of freedom: 363
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 363.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 364
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 364.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 365
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 365.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.125 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 366
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.212]
## ---------------------------------------
## Degrees of freedom: 366.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 367
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 367.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 368
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 368.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 369
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 369.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.211]
## ---------------------------------------
## Degrees of freedom: 370
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 370.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 371
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 371.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.124 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 372
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 372.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 373
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.21]
## ---------------------------------------
## Degrees of freedom: 373.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 374
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 374.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 375
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 375.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 376
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 376.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 377
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.209]
## ---------------------------------------
## Degrees of freedom: 377.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.123 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 378
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 378.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 379
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 379.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 380
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 380.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.208]
## ---------------------------------------
## Degrees of freedom: 381
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.207]
## ---------------------------------------
## Degrees of freedom: 381.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.207]
## ---------------------------------------
## Degrees of freedom: 382
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.207]
## ---------------------------------------
## Degrees of freedom: 382.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.207]
## ---------------------------------------
## Degrees of freedom: 383
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.037,0.207]
## ---------------------------------------
## Degrees of freedom: 383.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.036,0.207]
## ---------------------------------------
## Degrees of freedom: 384
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.122 95% CI [0.036,0.207]
## ---------------------------------------
## Degrees of freedom: 384.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 385
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 385.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 386
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 386.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 387
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 387.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 388
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.206]
## ---------------------------------------
## Degrees of freedom: 388.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 389
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 389.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 390
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 390.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.121 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 391
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 391.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.205]
## ---------------------------------------
## Degrees of freedom: 392
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 392.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 393
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 393.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 394
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 394.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 395
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 395.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.204]
## ---------------------------------------
## Degrees of freedom: 396
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 396.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 397
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.12 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 397.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 398
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 398.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 399
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 399.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.203]
## ---------------------------------------
## Degrees of freedom: 400
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 400.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 401
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 401.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 402
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 402.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 403
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 403.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.119 95% CI [0.036,0.202]
## ---------------------------------------
## Degrees of freedom: 404
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.036,0.201]
## ---------------------------------------
## Degrees of freedom: 404.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.036,0.201]
## ---------------------------------------
## Degrees of freedom: 405
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.036,0.201]
## ---------------------------------------
## Degrees of freedom: 405.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.201]
## ---------------------------------------
## Degrees of freedom: 406
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.201]
## ---------------------------------------
## Degrees of freedom: 406.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.201]
## ---------------------------------------
## Degrees of freedom: 407
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.201]
## ---------------------------------------
## Degrees of freedom: 407.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.201]
## ---------------------------------------
## Degrees of freedom: 408
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 408.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 409
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 409.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 410
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 410.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.118 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 411
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 411.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.2]
## ---------------------------------------
## Degrees of freedom: 412
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 412.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 413
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 413.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 414
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 414.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 415
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 415.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 416
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.199]
## ---------------------------------------
## Degrees of freedom: 416.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 417
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 417.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 418
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.117 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 418.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 419
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 419.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 420
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.198]
## ---------------------------------------
## Degrees of freedom: 420.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 421
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 421.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 422
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 422.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 423
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 423.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 424
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 424.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.197]
## ---------------------------------------
## Degrees of freedom: 425
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.116 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 425.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 426
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 426.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 427
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 427.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 428
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 428.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 429
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.035,0.196]
## ---------------------------------------
## Degrees of freedom: 429.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 430
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 430.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 431
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 431.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 432
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 432.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.115 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 433
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.195]
## ---------------------------------------
## Degrees of freedom: 433.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 434
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 434.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 435
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 435.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 436
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 436.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 437
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 437.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.194]
## ---------------------------------------
## Degrees of freedom: 438
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 438.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 439
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 439.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 440
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.114 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 440.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 441
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 441.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 442
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 442.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.193]
## ---------------------------------------
## Degrees of freedom: 443
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 443.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 444
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 444.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 445
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 445.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 446
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 446.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 447
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.192]
## ---------------------------------------
## Degrees of freedom: 447.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 448
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.113 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 448.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 449
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 449.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 450
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 450.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 451
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 451.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.191]
## ---------------------------------------
## Degrees of freedom: 452
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 452.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 453
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 453.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 454
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 454.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 455
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.034,0.19]
## ---------------------------------------
## Degrees of freedom: 455.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.033,0.19]
## ---------------------------------------
## Degrees of freedom: 456
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.112 95% CI [0.033,0.19]
## ---------------------------------------
## Degrees of freedom: 456.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.19]
## ---------------------------------------
## Degrees of freedom: 457
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 457.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 458
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 458.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 459
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 459.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 460
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 460.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 461
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 461.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.189]
## ---------------------------------------
## Degrees of freedom: 462
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 462.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 463
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 463.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 464
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 464.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.111 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 465
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 465.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 466
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 466.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.188]
## ---------------------------------------
## Degrees of freedom: 467
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 467.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 468
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 468.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 469
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 469.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 470
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 470.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 471
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 471.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.187]
## ---------------------------------------
## Degrees of freedom: 472
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 472.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 473
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.11 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 473.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 474
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 474.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 475
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 475.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 476
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 476.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.186]
## ---------------------------------------
## Degrees of freedom: 477
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 477.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 478
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 478.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 479
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 479.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 480
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 480.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 481
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 481.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.185]
## ---------------------------------------
## Degrees of freedom: 482
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.109 95% CI [0.033,0.184]
## ---------------------------------------
## Degrees of freedom: 482.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.033,0.184]
## ---------------------------------------
## Degrees of freedom: 483
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.033,0.184]
## ---------------------------------------
## Degrees of freedom: 483.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.033,0.184]
## ---------------------------------------
## Degrees of freedom: 484
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 484.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 485
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 485.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 486
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 486.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 487
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.184]
## ---------------------------------------
## Degrees of freedom: 487.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 488
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 488.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 489
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 489.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 490
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 490.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 491
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.108 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 491.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 492
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 492.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.183]
## ---------------------------------------
## Degrees of freedom: 493
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 493.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 494
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 494.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 495
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 495.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 496
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 496.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 497
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 497.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.182]
## ---------------------------------------
## Degrees of freedom: 498
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 498.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 499
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 499.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 500
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.107 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 500.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 501
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 501.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 502
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 502.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 503
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 503.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.181]
## ---------------------------------------
## Degrees of freedom: 504
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 504.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 505
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 505.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 506
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 506.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 507
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 507.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 508
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 508.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 509
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.18]
## ---------------------------------------
## Degrees of freedom: 509.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 510
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.106 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 510.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 511
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 511.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 512
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 512.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 513
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 513.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 514
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 514.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.179]
## ---------------------------------------
## Degrees of freedom: 515
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.032,0.178]
## ---------------------------------------
## Degrees of freedom: 515.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 516
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 516.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 517
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 517.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 518
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 518.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 519
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 519.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.105 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 520
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 520.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.178]
## ---------------------------------------
## Degrees of freedom: 521
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 521.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 522
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 522.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 523
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 523.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 524
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 524.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 525
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 525.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 526
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 526.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.177]
## ---------------------------------------
## Degrees of freedom: 527
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 527.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 528
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 528.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 529
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 529.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 530
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.104 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 530.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 531
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 531.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 532
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 532.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.176]
## ---------------------------------------
## Degrees of freedom: 533
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 533.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 534
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 534.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 535
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 535.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 536
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 536.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 537
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 537.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 538
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 538.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.175]
## ---------------------------------------
## Degrees of freedom: 539
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 539.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 540
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.103 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 540.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 541
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 541.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 542
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 542.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 543
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 543.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 544
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 544.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 545
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.174]
## ---------------------------------------
## Degrees of freedom: 545.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 546
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 546.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 547
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 547.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 548
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 548.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 549
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 549.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.031,0.173]
## ---------------------------------------
## Degrees of freedom: 550
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.03,0.173]
## ---------------------------------------
## Degrees of freedom: 550.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.03,0.173]
## ---------------------------------------
## Degrees of freedom: 551
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.102 95% CI [0.03,0.173]
## ---------------------------------------
## Degrees of freedom: 551.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 552
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 552.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 553
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 553.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 554
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 554.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 555
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 555.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 556
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 556.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 557
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 557.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.172]
## ---------------------------------------
## Degrees of freedom: 558
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 558.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 559
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 559.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 560
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 560.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 561
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 561.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 562
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.101 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 562.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 563
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 563.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 564
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.171]
## ---------------------------------------
## Degrees of freedom: 564.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 565
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 565.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 566
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 566.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 567
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 567.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 568
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 568.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 569
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 569.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 570
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 570.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 571
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.17]
## ---------------------------------------
## Degrees of freedom: 571.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 572
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 572.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 573
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 573.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.1 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 574
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 574.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 575
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 575.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 576
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 576.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 577
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 577.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.169]
## ---------------------------------------
## Degrees of freedom: 578
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 578.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 579
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 579.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 580
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 580.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 581
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 581.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 582
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 582.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 583
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 583.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 584
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 584.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.168]
## ---------------------------------------
## Degrees of freedom: 585
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.099 95% CI [0.03,0.167]
## ---------------------------------------
## Degrees of freedom: 585.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.03,0.167]
## ---------------------------------------
## Degrees of freedom: 586
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.03,0.167]
## ---------------------------------------
## Degrees of freedom: 586.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.03,0.167]
## ---------------------------------------
## Degrees of freedom: 587
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.03,0.167]
## ---------------------------------------
## Degrees of freedom: 587.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.03,0.167]
## ---------------------------------------
## Degrees of freedom: 588
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 588.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 589
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 589.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 590
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 590.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 591
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 591.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.167]
## ---------------------------------------
## Degrees of freedom: 592
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 592.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 593
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 593.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 594
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 594.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 595
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 595.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 596
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 596.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 597
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.098 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 597.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 598
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 598.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 599
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.166]
## ---------------------------------------
## Degrees of freedom: 599.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 600
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 600.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 601
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 601.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 602
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 602.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 603
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 603.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 604
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 604.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 605
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 605.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 606
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.165]
## ---------------------------------------
## Degrees of freedom: 606.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 607
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 607.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 608
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 608.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 609
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 609.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.097 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 610
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 610.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 611
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 611.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 612
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 612.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 613
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 613.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.164]
## ---------------------------------------
## Degrees of freedom: 614
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 614.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 615
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 615.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 616
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 616.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 617
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 617.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 618
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 618.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 619
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 619.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 620
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 620.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 621
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 621.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.163]
## ---------------------------------------
## Degrees of freedom: 622
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 622.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.096 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 623
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 623.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 624
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 624.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 625
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 625.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 626
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 626.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 627
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 627.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 628
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 628.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 629
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.162]
## ---------------------------------------
## Degrees of freedom: 629.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.161]
## ---------------------------------------
## Degrees of freedom: 630
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.029,0.161]
## ---------------------------------------
## Degrees of freedom: 630.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 631
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 631.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 632
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 632.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 633
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 633.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 634
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 634.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 635
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 635.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 636
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.095 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 636.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 637
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.161]
## ---------------------------------------
## Degrees of freedom: 637.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 638
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 638.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 639
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 639.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 640
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 640.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 641
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 641.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 642
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 642.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 643
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 643.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 644
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 644.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 645
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.16]
## ---------------------------------------
## Degrees of freedom: 645.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 646
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 646.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 647
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 647.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 648
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 648.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 649
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 649.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.094 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 650
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 650.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 651
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 651.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 652
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 652.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 653
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.159]
## ---------------------------------------
## Degrees of freedom: 653.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 654
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 654.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 655
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 655.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 656
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 656.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 657
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 657.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 658
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 658.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 659
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 659.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 660
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 660.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 661
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 661.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.158]
## ---------------------------------------
## Degrees of freedom: 662
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 662.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 663
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 663.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.093 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 664
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 664.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 665
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 665.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 666
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 666.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 667
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 667.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 668
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 668.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 669
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 669.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 670
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.157]
## ---------------------------------------
## Degrees of freedom: 670.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 671
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 671.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 672
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 672.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 673
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 673.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 674
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 674.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 675
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 675.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 676
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 676.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.028,0.156]
## ---------------------------------------
## Degrees of freedom: 677
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.027,0.156]
## ---------------------------------------
## Degrees of freedom: 677.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.027,0.156]
## ---------------------------------------
## Degrees of freedom: 678
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.027,0.156]
## ---------------------------------------
## Degrees of freedom: 678.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.092 95% CI [0.027,0.156]
## ---------------------------------------
## Degrees of freedom: 679
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 679.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 680
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 680.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 681
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 681.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 682
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 682.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 683
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 683.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 684
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 684.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 685
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 685.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 686
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 686.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 687
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 687.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.155]
## ---------------------------------------
## Degrees of freedom: 688
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 688.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 689
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 689.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 690
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 690.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 691
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 691.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 692
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 692.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 693
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 693.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.091 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 694
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 694.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 695
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 695.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 696
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 696.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.154]
## ---------------------------------------
## Degrees of freedom: 697
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 697.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 698
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 698.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 699
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 699.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 700
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 700.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 701
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 701.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 702
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 702.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 703
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 703.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 704
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 704.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 705
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 705.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.153]
## ---------------------------------------
## Degrees of freedom: 706
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 706.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 707
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 707.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 708
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 708.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 709
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.09 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 709.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 710
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 710.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 711
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 711.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 712
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 712.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 713
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 713.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 714
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 714.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 715
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.152]
## ---------------------------------------
## Degrees of freedom: 715.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 716
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 716.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 717
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 717.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 718
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 718.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 719
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 719.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 720
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 720.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 721
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 721.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 722
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 722.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 723
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 723.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 724
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 724.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.151]
## ---------------------------------------
## Degrees of freedom: 725
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.089 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 725.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 726
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 726.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 727
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 727.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 728
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 728.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 729
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.027,0.15]
## ---------------------------------------
## Degrees of freedom: 729.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 730
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 730.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 731
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 731.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 732
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 732.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 733
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 733.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 734
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 734.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.15]
## ---------------------------------------
## Degrees of freedom: 735
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 735.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 736
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 736.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 737
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 737.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 738
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 738.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 739
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 739.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 740
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 740.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 741
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 741.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 742
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.088 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 742.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 743
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 743.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 744
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 744.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.149]
## ---------------------------------------
## Degrees of freedom: 745
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 745.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 746
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 746.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 747
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 747.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 748
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 748.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 749
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 749.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 750
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 750.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 751
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 751.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 752
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 752.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 753
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 753.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 754
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 754.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.148]
## ---------------------------------------
## Degrees of freedom: 755
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 755.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 756
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 756.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 757
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 757.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 758
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 758.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 759
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.087 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 759.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 760
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 760.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 761
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 761.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 762
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 762.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 763
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 763.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 764
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 764.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 765
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.147]
## ---------------------------------------
## Degrees of freedom: 765.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 766
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 766.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 767
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 767.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 768
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 768.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 769
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 769.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 770
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 770.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 771
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 771.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 772
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 772.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 773
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 773.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 774
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 774.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 775
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 775.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.146]
## ---------------------------------------
## Degrees of freedom: 776
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 776.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 777
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.086 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 777.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 778
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 778.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 779
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 779.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 780
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 780.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 781
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 781.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 782
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 782.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 783
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 783.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 784
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 784.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 785
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 785.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 786
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.145]
## ---------------------------------------
## Degrees of freedom: 786.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.144]
## ---------------------------------------
## Degrees of freedom: 787
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.144]
## ---------------------------------------
## Degrees of freedom: 787.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.026,0.144]
## ---------------------------------------
## Degrees of freedom: 788
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 788.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 789
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 789.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 790
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 790.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 791
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 791.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 792
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 792.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 793
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 793.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 794
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 794.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 795
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 795.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.085 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 796
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.084 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 796.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.084 95% CI [0.025,0.144]
## ---------------------------------------
## Degrees of freedom: 797
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment designplot(crd1, ypar = "mdes", xpar = "n2",
ylim = c(.10, .90), xlim = c(10, 800),
ylab = "MDES (with Power = .80)", xlab = "Number of Clusters",
main = expression(CRD (S + TS)), locate = TRUE)##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.53 95% CI [0.403,2.656]
## ---------------------------------------
## Degrees of freedom: 5
## Standardized standard error: 0.438
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.46 95% CI [0.39,2.53]
## ---------------------------------------
## Degrees of freedom: 5.5
## Standardized standard error: 0.428
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.401 95% CI [0.378,2.423]
## ---------------------------------------
## Degrees of freedom: 6
## Standardized standard error: 0.418
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.35 95% CI [0.368,2.331]
## ---------------------------------------
## Degrees of freedom: 6.5
## Standardized standard error: 0.409
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.304 95% CI [0.358,2.25]
## ---------------------------------------
## Degrees of freedom: 7
## Standardized standard error: 0.4
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.264 95% CI [0.35,2.179]
## ---------------------------------------
## Degrees of freedom: 7.5
## Standardized standard error: 0.392
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.228 95% CI [0.342,2.114]
## ---------------------------------------
## Degrees of freedom: 8
## Standardized standard error: 0.384
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.195 95% CI [0.334,2.056]
## ---------------------------------------
## Degrees of freedom: 8.5
## Standardized standard error: 0.377
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.165 95% CI [0.327,2.003]
## ---------------------------------------
## Degrees of freedom: 9
## Standardized standard error: 0.37
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.137 95% CI [0.321,1.954]
## ---------------------------------------
## Degrees of freedom: 9.5
## Standardized standard error: 0.364
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.112 95% CI [0.315,1.909]
## ---------------------------------------
## Degrees of freedom: 10
## Standardized standard error: 0.358
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.088 95% CI [0.309,1.867]
## ---------------------------------------
## Degrees of freedom: 10.5
## Standardized standard error: 0.352
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.066 95% CI [0.303,1.828]
## ---------------------------------------
## Degrees of freedom: 11
## Standardized standard error: 0.346
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.045 95% CI [0.298,1.792]
## ---------------------------------------
## Degrees of freedom: 11.5
## Standardized standard error: 0.341
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.026 95% CI [0.293,1.758]
## ---------------------------------------
## Degrees of freedom: 12
## Standardized standard error: 0.336
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.007 95% CI [0.289,1.726]
## ---------------------------------------
## Degrees of freedom: 12.5
## Standardized standard error: 0.331
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.99 95% CI [0.284,1.696]
## ---------------------------------------
## Degrees of freedom: 13
## Standardized standard error: 0.327
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.974 95% CI [0.28,1.667]
## ---------------------------------------
## Degrees of freedom: 13.5
## Standardized standard error: 0.322
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.958 95% CI [0.276,1.64]
## ---------------------------------------
## Degrees of freedom: 14
## Standardized standard error: 0.318
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.943 95% CI [0.272,1.614]
## ---------------------------------------
## Degrees of freedom: 14.5
## Standardized standard error: 0.314
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.929 95% CI [0.268,1.589]
## ---------------------------------------
## Degrees of freedom: 15
## Standardized standard error: 0.31
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.915 95% CI [0.265,1.566]
## ---------------------------------------
## Degrees of freedom: 15.5
## Standardized standard error: 0.306
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.903 95% CI [0.261,1.544]
## ---------------------------------------
## Degrees of freedom: 16
## Standardized standard error: 0.302
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.89 95% CI [0.258,1.522]
## ---------------------------------------
## Degrees of freedom: 16.5
## Standardized standard error: 0.299
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.878 95% CI [0.255,1.502]
## ---------------------------------------
## Degrees of freedom: 17
## Standardized standard error: 0.295
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.867 95% CI [0.252,1.482]
## ---------------------------------------
## Degrees of freedom: 17.5
## Standardized standard error: 0.292
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.856 95% CI [0.249,1.463]
## ---------------------------------------
## Degrees of freedom: 18
## Standardized standard error: 0.289
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.846 95% CI [0.246,1.445]
## ---------------------------------------
## Degrees of freedom: 18.5
## Standardized standard error: 0.286
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.836 95% CI [0.244,1.428]
## ---------------------------------------
## Degrees of freedom: 19
## Standardized standard error: 0.283
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.826 95% CI [0.241,1.411]
## ---------------------------------------
## Degrees of freedom: 19.5
## Standardized standard error: 0.28
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.817 95% CI [0.238,1.395]
## ---------------------------------------
## Degrees of freedom: 20
## Standardized standard error: 0.277
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.807 95% CI [0.236,1.379]
## ---------------------------------------
## Degrees of freedom: 20.5
## Standardized standard error: 0.274
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.799 95% CI [0.233,1.364]
## ---------------------------------------
## Degrees of freedom: 21
## Standardized standard error: 0.272
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.79 95% CI [0.231,1.349]
## ---------------------------------------
## Degrees of freedom: 21.5
## Standardized standard error: 0.269
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.782 95% CI [0.229,1.335]
## ---------------------------------------
## Degrees of freedom: 22
## Standardized standard error: 0.267
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.774 95% CI [0.227,1.321]
## ---------------------------------------
## Degrees of freedom: 22.5
## Standardized standard error: 0.264
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.766 95% CI [0.225,1.308]
## ---------------------------------------
## Degrees of freedom: 23
## Standardized standard error: 0.262
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.759 95% CI [0.223,1.295]
## ---------------------------------------
## Degrees of freedom: 23.5
## Standardized standard error: 0.26
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.752 95% CI [0.221,1.283]
## ---------------------------------------
## Degrees of freedom: 24
## Standardized standard error: 0.257
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.745 95% CI [0.219,1.271]
## ---------------------------------------
## Degrees of freedom: 24.5
## Standardized standard error: 0.255
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.738 95% CI [0.217,1.259]
## ---------------------------------------
## Degrees of freedom: 25
## Standardized standard error: 0.253
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.731 95% CI [0.215,1.247]
## ---------------------------------------
## Degrees of freedom: 25.5
## Standardized standard error: 0.251
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.725 95% CI [0.213,1.236]
## ---------------------------------------
## Degrees of freedom: 26
## Standardized standard error: 0.249
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.718 95% CI [0.211,1.225]
## ---------------------------------------
## Degrees of freedom: 26.5
## Standardized standard error: 0.247
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.712 95% CI [0.21,1.215]
## ---------------------------------------
## Degrees of freedom: 27
## Standardized standard error: 0.245
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.706 95% CI [0.208,1.205]
## ---------------------------------------
## Degrees of freedom: 27.5
## Standardized standard error: 0.243
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.7 95% CI [0.206,1.195]
## ---------------------------------------
## Degrees of freedom: 28
## Standardized standard error: 0.241
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.695 95% CI [0.205,1.185]
## ---------------------------------------
## Degrees of freedom: 28.5
## Standardized standard error: 0.239
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.689 95% CI [0.203,1.175]
## ---------------------------------------
## Degrees of freedom: 29
## Standardized standard error: 0.238
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.684 95% CI [0.201,1.166]
## ---------------------------------------
## Degrees of freedom: 29.5
## Standardized standard error: 0.236
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.678 95% CI [0.2,1.157]
## ---------------------------------------
## Degrees of freedom: 30
## Standardized standard error: 0.234
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.673 95% CI [0.199,1.148]
## ---------------------------------------
## Degrees of freedom: 30.5
## Standardized standard error: 0.233
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.668 95% CI [0.197,1.139]
## ---------------------------------------
## Degrees of freedom: 31
## Standardized standard error: 0.231
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.663 95% CI [0.196,1.131]
## ---------------------------------------
## Degrees of freedom: 31.5
## Standardized standard error: 0.229
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.658 95% CI [0.194,1.123]
## ---------------------------------------
## Degrees of freedom: 32
## Standardized standard error: 0.228
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.654 95% CI [0.193,1.114]
## ---------------------------------------
## Degrees of freedom: 32.5
## Standardized standard error: 0.226
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.649 95% CI [0.192,1.106]
## ---------------------------------------
## Degrees of freedom: 33
## Standardized standard error: 0.225
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.645 95% CI [0.19,1.099]
## ---------------------------------------
## Degrees of freedom: 33.5
## Standardized standard error: 0.223
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.64 95% CI [0.189,1.091]
## ---------------------------------------
## Degrees of freedom: 34
## Standardized standard error: 0.222
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.636 95% CI [0.188,1.084]
## ---------------------------------------
## Degrees of freedom: 34.5
## Standardized standard error: 0.221
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.632 95% CI [0.187,1.076]
## ---------------------------------------
## Degrees of freedom: 35
## Standardized standard error: 0.219
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.627 95% CI [0.186,1.069]
## ---------------------------------------
## Degrees of freedom: 35.5
## Standardized standard error: 0.218
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.623 95% CI [0.184,1.062]
## ---------------------------------------
## Degrees of freedom: 36
## Standardized standard error: 0.216
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.619 95% CI [0.183,1.055]
## ---------------------------------------
## Degrees of freedom: 36.5
## Standardized standard error: 0.215
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.615 95% CI [0.182,1.049]
## ---------------------------------------
## Degrees of freedom: 37
## Standardized standard error: 0.214
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.612 95% CI [0.181,1.042]
## ---------------------------------------
## Degrees of freedom: 37.5
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.608 95% CI [0.18,1.036]
## ---------------------------------------
## Degrees of freedom: 38
## Standardized standard error: 0.211
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.604 95% CI [0.179,1.029]
## ---------------------------------------
## Degrees of freedom: 38.5
## Standardized standard error: 0.21
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.6 95% CI [0.178,1.023]
## ---------------------------------------
## Degrees of freedom: 39
## Standardized standard error: 0.209
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.597 95% CI [0.177,1.017]
## ---------------------------------------
## Degrees of freedom: 39.5
## Standardized standard error: 0.208
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.593 95% CI [0.176,1.011]
## ---------------------------------------
## Degrees of freedom: 40
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.59 95% CI [0.175,1.005]
## ---------------------------------------
## Degrees of freedom: 40.5
## Standardized standard error: 0.205
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.586 95% CI [0.174,0.999]
## ---------------------------------------
## Degrees of freedom: 41
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.583 95% CI [0.173,0.993]
## ---------------------------------------
## Degrees of freedom: 41.5
## Standardized standard error: 0.203
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.58 95% CI [0.172,0.988]
## ---------------------------------------
## Degrees of freedom: 42
## Standardized standard error: 0.202
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.577 95% CI [0.171,0.982]
## ---------------------------------------
## Degrees of freedom: 42.5
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.573 95% CI [0.17,0.977]
## ---------------------------------------
## Degrees of freedom: 43
## Standardized standard error: 0.2
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.57 95% CI [0.169,0.972]
## ---------------------------------------
## Degrees of freedom: 43.5
## Standardized standard error: 0.199
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.567 95% CI [0.168,0.966]
## ---------------------------------------
## Degrees of freedom: 44
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.564 95% CI [0.167,0.961]
## ---------------------------------------
## Degrees of freedom: 44.5
## Standardized standard error: 0.197
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.561 95% CI [0.167,0.956]
## ---------------------------------------
## Degrees of freedom: 45
## Standardized standard error: 0.196
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.558 95% CI [0.166,0.951]
## ---------------------------------------
## Degrees of freedom: 45.5
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.555 95% CI [0.165,0.946]
## ---------------------------------------
## Degrees of freedom: 46
## Standardized standard error: 0.194
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.553 95% CI [0.164,0.941]
## ---------------------------------------
## Degrees of freedom: 46.5
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.55 95% CI [0.163,0.936]
## ---------------------------------------
## Degrees of freedom: 47
## Standardized standard error: 0.192
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.547 95% CI [0.162,0.932]
## ---------------------------------------
## Degrees of freedom: 47.5
## Standardized standard error: 0.191
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.544 95% CI [0.162,0.927]
## ---------------------------------------
## Degrees of freedom: 48
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.542 95% CI [0.161,0.923]
## ---------------------------------------
## Degrees of freedom: 48.5
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.539 95% CI [0.16,0.918]
## ---------------------------------------
## Degrees of freedom: 49
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.537 95% CI [0.159,0.914]
## ---------------------------------------
## Degrees of freedom: 49.5
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.534 95% CI [0.159,0.909]
## ---------------------------------------
## Degrees of freedom: 50
## Standardized standard error: 0.187
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.531 95% CI [0.158,0.905]
## ---------------------------------------
## Degrees of freedom: 50.5
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.529 95% CI [0.157,0.901]
## ---------------------------------------
## Degrees of freedom: 51
## Standardized standard error: 0.185
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.527 95% CI [0.156,0.897]
## ---------------------------------------
## Degrees of freedom: 51.5
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.524 95% CI [0.156,0.892]
## ---------------------------------------
## Degrees of freedom: 52
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.522 95% CI [0.155,0.888]
## ---------------------------------------
## Degrees of freedom: 52.5
## Standardized standard error: 0.183
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.519 95% CI [0.154,0.884]
## ---------------------------------------
## Degrees of freedom: 53
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.517 95% CI [0.154,0.88]
## ---------------------------------------
## Degrees of freedom: 53.5
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.515 95% CI [0.153,0.877]
## ---------------------------------------
## Degrees of freedom: 54
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.513 95% CI [0.152,0.873]
## ---------------------------------------
## Degrees of freedom: 54.5
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.51 95% CI [0.152,0.869]
## ---------------------------------------
## Degrees of freedom: 55
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.508 95% CI [0.151,0.865]
## ---------------------------------------
## Degrees of freedom: 55.5
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.506 95% CI [0.15,0.861]
## ---------------------------------------
## Degrees of freedom: 56
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.504 95% CI [0.15,0.858]
## ---------------------------------------
## Degrees of freedom: 56.5
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.502 95% CI [0.149,0.854]
## ---------------------------------------
## Degrees of freedom: 57
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.5 95% CI [0.149,0.851]
## ---------------------------------------
## Degrees of freedom: 57.5
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.498 95% CI [0.148,0.847]
## ---------------------------------------
## Degrees of freedom: 58
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.496 95% CI [0.147,0.844]
## ---------------------------------------
## Degrees of freedom: 58.5
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.494 95% CI [0.147,0.84]
## ---------------------------------------
## Degrees of freedom: 59
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.492 95% CI [0.146,0.837]
## ---------------------------------------
## Degrees of freedom: 59.5
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.49 95% CI [0.146,0.833]
## ---------------------------------------
## Degrees of freedom: 60
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.488 95% CI [0.145,0.83]
## ---------------------------------------
## Degrees of freedom: 60.5
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.486 95% CI [0.145,0.827]
## ---------------------------------------
## Degrees of freedom: 61
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.484 95% CI [0.144,0.824]
## ---------------------------------------
## Degrees of freedom: 61.5
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.482 95% CI [0.143,0.82]
## ---------------------------------------
## Degrees of freedom: 62
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.48 95% CI [0.143,0.817]
## ---------------------------------------
## Degrees of freedom: 62.5
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.478 95% CI [0.142,0.814]
## ---------------------------------------
## Degrees of freedom: 63
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.476 95% CI [0.142,0.811]
## ---------------------------------------
## Degrees of freedom: 63.5
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.475 95% CI [0.141,0.808]
## ---------------------------------------
## Degrees of freedom: 64
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.473 95% CI [0.141,0.805]
## ---------------------------------------
## Degrees of freedom: 64.5
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.471 95% CI [0.14,0.802]
## ---------------------------------------
## Degrees of freedom: 65
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.469 95% CI [0.14,0.799]
## ---------------------------------------
## Degrees of freedom: 65.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.468 95% CI [0.139,0.796]
## ---------------------------------------
## Degrees of freedom: 66
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.466 95% CI [0.139,0.793]
## ---------------------------------------
## Degrees of freedom: 66.5
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.464 95% CI [0.138,0.79]
## ---------------------------------------
## Degrees of freedom: 67
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.463 95% CI [0.138,0.788]
## ---------------------------------------
## Degrees of freedom: 67.5
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.461 95% CI [0.137,0.785]
## ---------------------------------------
## Degrees of freedom: 68
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.459 95% CI [0.137,0.782]
## ---------------------------------------
## Degrees of freedom: 68.5
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.458 95% CI [0.136,0.779]
## ---------------------------------------
## Degrees of freedom: 69
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.456 95% CI [0.136,0.777]
## ---------------------------------------
## Degrees of freedom: 69.5
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.455 95% CI [0.136,0.774]
## ---------------------------------------
## Degrees of freedom: 70
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.453 95% CI [0.135,0.771]
## ---------------------------------------
## Degrees of freedom: 70.5
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.452 95% CI [0.135,0.769]
## ---------------------------------------
## Degrees of freedom: 71
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.45 95% CI [0.134,0.766]
## ---------------------------------------
## Degrees of freedom: 71.5
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.449 95% CI [0.134,0.763]
## ---------------------------------------
## Degrees of freedom: 72
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.447 95% CI [0.133,0.761]
## ---------------------------------------
## Degrees of freedom: 72.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.446 95% CI [0.133,0.758]
## ---------------------------------------
## Degrees of freedom: 73
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.444 95% CI [0.132,0.756]
## ---------------------------------------
## Degrees of freedom: 73.5
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.443 95% CI [0.132,0.753]
## ---------------------------------------
## Degrees of freedom: 74
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.441 95% CI [0.132,0.751]
## ---------------------------------------
## Degrees of freedom: 74.5
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.44 95% CI [0.131,0.748]
## ---------------------------------------
## Degrees of freedom: 75
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.438 95% CI [0.131,0.746]
## ---------------------------------------
## Degrees of freedom: 75.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.437 95% CI [0.13,0.744]
## ---------------------------------------
## Degrees of freedom: 76
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.436 95% CI [0.13,0.741]
## ---------------------------------------
## Degrees of freedom: 76.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.434 95% CI [0.13,0.739]
## ---------------------------------------
## Degrees of freedom: 77
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.433 95% CI [0.129,0.737]
## ---------------------------------------
## Degrees of freedom: 77.5
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.432 95% CI [0.129,0.734]
## ---------------------------------------
## Degrees of freedom: 78
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.43 95% CI [0.128,0.732]
## ---------------------------------------
## Degrees of freedom: 78.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.429 95% CI [0.128,0.73]
## ---------------------------------------
## Degrees of freedom: 79
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.428 95% CI [0.128,0.728]
## ---------------------------------------
## Degrees of freedom: 79.5
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.426 95% CI [0.127,0.725]
## ---------------------------------------
## Degrees of freedom: 80
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.425 95% CI [0.127,0.723]
## ---------------------------------------
## Degrees of freedom: 80.5
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.424 95% CI [0.126,0.721]
## ---------------------------------------
## Degrees of freedom: 81
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.423 95% CI [0.126,0.719]
## ---------------------------------------
## Degrees of freedom: 81.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.421 95% CI [0.126,0.717]
## ---------------------------------------
## Degrees of freedom: 82
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.42 95% CI [0.125,0.715]
## ---------------------------------------
## Degrees of freedom: 82.5
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.419 95% CI [0.125,0.713]
## ---------------------------------------
## Degrees of freedom: 83
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.418 95% CI [0.125,0.711]
## ---------------------------------------
## Degrees of freedom: 83.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.416 95% CI [0.124,0.709]
## ---------------------------------------
## Degrees of freedom: 84
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.415 95% CI [0.124,0.706]
## ---------------------------------------
## Degrees of freedom: 84.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.414 95% CI [0.124,0.704]
## ---------------------------------------
## Degrees of freedom: 85
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.413 95% CI [0.123,0.702]
## ---------------------------------------
## Degrees of freedom: 85.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.412 95% CI [0.123,0.7]
## ---------------------------------------
## Degrees of freedom: 86
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.411 95% CI [0.123,0.699]
## ---------------------------------------
## Degrees of freedom: 86.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.409 95% CI [0.122,0.697]
## ---------------------------------------
## Degrees of freedom: 87
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.408 95% CI [0.122,0.695]
## ---------------------------------------
## Degrees of freedom: 87.5
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.407 95% CI [0.122,0.693]
## ---------------------------------------
## Degrees of freedom: 88
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.406 95% CI [0.121,0.691]
## ---------------------------------------
## Degrees of freedom: 88.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.405 95% CI [0.121,0.689]
## ---------------------------------------
## Degrees of freedom: 89
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.404 95% CI [0.121,0.687]
## ---------------------------------------
## Degrees of freedom: 89.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.403 95% CI [0.12,0.685]
## ---------------------------------------
## Degrees of freedom: 90
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.402 95% CI [0.12,0.683]
## ---------------------------------------
## Degrees of freedom: 90.5
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.401 95% CI [0.12,0.682]
## ---------------------------------------
## Degrees of freedom: 91
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.4 95% CI [0.119,0.68]
## ---------------------------------------
## Degrees of freedom: 91.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.398 95% CI [0.119,0.678]
## ---------------------------------------
## Degrees of freedom: 92
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.397 95% CI [0.119,0.676]
## ---------------------------------------
## Degrees of freedom: 92.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.396 95% CI [0.118,0.674]
## ---------------------------------------
## Degrees of freedom: 93
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.395 95% CI [0.118,0.673]
## ---------------------------------------
## Degrees of freedom: 93.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.394 95% CI [0.118,0.671]
## ---------------------------------------
## Degrees of freedom: 94
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.393 95% CI [0.117,0.669]
## ---------------------------------------
## Degrees of freedom: 94.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.392 95% CI [0.117,0.667]
## ---------------------------------------
## Degrees of freedom: 95
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.391 95% CI [0.117,0.666]
## ---------------------------------------
## Degrees of freedom: 95.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.39 95% CI [0.117,0.664]
## ---------------------------------------
## Degrees of freedom: 96
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.389 95% CI [0.116,0.662]
## ---------------------------------------
## Degrees of freedom: 96.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.388 95% CI [0.116,0.661]
## ---------------------------------------
## Degrees of freedom: 97
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.387 95% CI [0.116,0.659]
## ---------------------------------------
## Degrees of freedom: 97.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.386 95% CI [0.115,0.657]
## ---------------------------------------
## Degrees of freedom: 98
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.385 95% CI [0.115,0.656]
## ---------------------------------------
## Degrees of freedom: 98.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.385 95% CI [0.115,0.654]
## ---------------------------------------
## Degrees of freedom: 99
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.384 95% CI [0.115,0.653]
## ---------------------------------------
## Degrees of freedom: 99.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.383 95% CI [0.114,0.651]
## ---------------------------------------
## Degrees of freedom: 100
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.382 95% CI [0.114,0.649]
## ---------------------------------------
## Degrees of freedom: 100.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.381 95% CI [0.114,0.648]
## ---------------------------------------
## Degrees of freedom: 101
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.38 95% CI [0.114,0.646]
## ---------------------------------------
## Degrees of freedom: 101.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.379 95% CI [0.113,0.645]
## ---------------------------------------
## Degrees of freedom: 102
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.378 95% CI [0.113,0.643]
## ---------------------------------------
## Degrees of freedom: 102.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.377 95% CI [0.113,0.642]
## ---------------------------------------
## Degrees of freedom: 103
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.376 95% CI [0.112,0.64]
## ---------------------------------------
## Degrees of freedom: 103.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.375 95% CI [0.112,0.639]
## ---------------------------------------
## Degrees of freedom: 104
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.375 95% CI [0.112,0.637]
## ---------------------------------------
## Degrees of freedom: 104.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.374 95% CI [0.112,0.636]
## ---------------------------------------
## Degrees of freedom: 105
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.373 95% CI [0.111,0.634]
## ---------------------------------------
## Degrees of freedom: 105.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.372 95% CI [0.111,0.633]
## ---------------------------------------
## Degrees of freedom: 106
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.371 95% CI [0.111,0.631]
## ---------------------------------------
## Degrees of freedom: 106.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.37 95% CI [0.111,0.63]
## ---------------------------------------
## Degrees of freedom: 107
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.369 95% CI [0.11,0.628]
## ---------------------------------------
## Degrees of freedom: 107.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.369 95% CI [0.11,0.627]
## ---------------------------------------
## Degrees of freedom: 108
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.368 95% CI [0.11,0.626]
## ---------------------------------------
## Degrees of freedom: 108.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.367 95% CI [0.11,0.624]
## ---------------------------------------
## Degrees of freedom: 109
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.366 95% CI [0.109,0.623]
## ---------------------------------------
## Degrees of freedom: 109.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.365 95% CI [0.109,0.621]
## ---------------------------------------
## Degrees of freedom: 110
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.364 95% CI [0.109,0.62]
## ---------------------------------------
## Degrees of freedom: 110.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.364 95% CI [0.109,0.619]
## ---------------------------------------
## Degrees of freedom: 111
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.363 95% CI [0.108,0.617]
## ---------------------------------------
## Degrees of freedom: 111.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.362 95% CI [0.108,0.616]
## ---------------------------------------
## Degrees of freedom: 112
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.361 95% CI [0.108,0.615]
## ---------------------------------------
## Degrees of freedom: 112.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.361 95% CI [0.108,0.613]
## ---------------------------------------
## Degrees of freedom: 113
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.36 95% CI [0.108,0.612]
## ---------------------------------------
## Degrees of freedom: 113.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.359 95% CI [0.107,0.611]
## ---------------------------------------
## Degrees of freedom: 114
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.358 95% CI [0.107,0.609]
## ---------------------------------------
## Degrees of freedom: 114.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.357 95% CI [0.107,0.608]
## ---------------------------------------
## Degrees of freedom: 115
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.357 95% CI [0.107,0.607]
## ---------------------------------------
## Degrees of freedom: 115.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.356 95% CI [0.106,0.606]
## ---------------------------------------
## Degrees of freedom: 116
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.355 95% CI [0.106,0.604]
## ---------------------------------------
## Degrees of freedom: 116.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.354 95% CI [0.106,0.603]
## ---------------------------------------
## Degrees of freedom: 117
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.354 95% CI [0.106,0.602]
## ---------------------------------------
## Degrees of freedom: 117.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.353 95% CI [0.106,0.6]
## ---------------------------------------
## Degrees of freedom: 118
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.352 95% CI [0.105,0.599]
## ---------------------------------------
## Degrees of freedom: 118.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.352 95% CI [0.105,0.598]
## ---------------------------------------
## Degrees of freedom: 119
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.351 95% CI [0.105,0.597]
## ---------------------------------------
## Degrees of freedom: 119.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.35 95% CI [0.105,0.596]
## ---------------------------------------
## Degrees of freedom: 120
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.349 95% CI [0.104,0.594]
## ---------------------------------------
## Degrees of freedom: 120.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.349 95% CI [0.104,0.593]
## ---------------------------------------
## Degrees of freedom: 121
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.348 95% CI [0.104,0.592]
## ---------------------------------------
## Degrees of freedom: 121.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.347 95% CI [0.104,0.591]
## ---------------------------------------
## Degrees of freedom: 122
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.347 95% CI [0.104,0.59]
## ---------------------------------------
## Degrees of freedom: 122.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.346 95% CI [0.103,0.588]
## ---------------------------------------
## Degrees of freedom: 123
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.345 95% CI [0.103,0.587]
## ---------------------------------------
## Degrees of freedom: 123.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.345 95% CI [0.103,0.586]
## ---------------------------------------
## Degrees of freedom: 124
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.344 95% CI [0.103,0.585]
## ---------------------------------------
## Degrees of freedom: 124.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.343 95% CI [0.103,0.584]
## ---------------------------------------
## Degrees of freedom: 125
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.343 95% CI [0.102,0.583]
## ---------------------------------------
## Degrees of freedom: 125.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.342 95% CI [0.102,0.582]
## ---------------------------------------
## Degrees of freedom: 126
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.341 95% CI [0.102,0.58]
## ---------------------------------------
## Degrees of freedom: 126.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.341 95% CI [0.102,0.579]
## ---------------------------------------
## Degrees of freedom: 127
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.34 95% CI [0.102,0.578]
## ---------------------------------------
## Degrees of freedom: 127.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.339 95% CI [0.101,0.577]
## ---------------------------------------
## Degrees of freedom: 128
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.339 95% CI [0.101,0.576]
## ---------------------------------------
## Degrees of freedom: 128.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.338 95% CI [0.101,0.575]
## ---------------------------------------
## Degrees of freedom: 129
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.337 95% CI [0.101,0.574]
## ---------------------------------------
## Degrees of freedom: 129.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.337 95% CI [0.101,0.573]
## ---------------------------------------
## Degrees of freedom: 130
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.336 95% CI [0.101,0.572]
## ---------------------------------------
## Degrees of freedom: 130.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.335 95% CI [0.1,0.571]
## ---------------------------------------
## Degrees of freedom: 131
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.335 95% CI [0.1,0.569]
## ---------------------------------------
## Degrees of freedom: 131.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.334 95% CI [0.1,0.568]
## ---------------------------------------
## Degrees of freedom: 132
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.334 95% CI [0.1,0.567]
## ---------------------------------------
## Degrees of freedom: 132.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.333 95% CI [0.1,0.566]
## ---------------------------------------
## Degrees of freedom: 133
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.332 95% CI [0.099,0.565]
## ---------------------------------------
## Degrees of freedom: 133.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.332 95% CI [0.099,0.564]
## ---------------------------------------
## Degrees of freedom: 134
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.331 95% CI [0.099,0.563]
## ---------------------------------------
## Degrees of freedom: 134.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.331 95% CI [0.099,0.562]
## ---------------------------------------
## Degrees of freedom: 135
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.33 95% CI [0.099,0.561]
## ---------------------------------------
## Degrees of freedom: 135.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.329 95% CI [0.099,0.56]
## ---------------------------------------
## Degrees of freedom: 136
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.329 95% CI [0.098,0.559]
## ---------------------------------------
## Degrees of freedom: 136.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.328 95% CI [0.098,0.558]
## ---------------------------------------
## Degrees of freedom: 137
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.328 95% CI [0.098,0.557]
## ---------------------------------------
## Degrees of freedom: 137.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.327 95% CI [0.098,0.556]
## ---------------------------------------
## Degrees of freedom: 138
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.326 95% CI [0.098,0.555]
## ---------------------------------------
## Degrees of freedom: 138.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.326 95% CI [0.097,0.554]
## ---------------------------------------
## Degrees of freedom: 139
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.325 95% CI [0.097,0.553]
## ---------------------------------------
## Degrees of freedom: 139.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.325 95% CI [0.097,0.552]
## ---------------------------------------
## Degrees of freedom: 140
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.324 95% CI [0.097,0.551]
## ---------------------------------------
## Degrees of freedom: 140.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.324 95% CI [0.097,0.55]
## ---------------------------------------
## Degrees of freedom: 141
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.323 95% CI [0.097,0.549]
## ---------------------------------------
## Degrees of freedom: 141.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.322 95% CI [0.096,0.548]
## ---------------------------------------
## Degrees of freedom: 142
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.322 95% CI [0.096,0.547]
## ---------------------------------------
## Degrees of freedom: 142.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.321 95% CI [0.096,0.547]
## ---------------------------------------
## Degrees of freedom: 143
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.321 95% CI [0.096,0.546]
## ---------------------------------------
## Degrees of freedom: 143.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.32 95% CI [0.096,0.545]
## ---------------------------------------
## Degrees of freedom: 144
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.32 95% CI [0.096,0.544]
## ---------------------------------------
## Degrees of freedom: 144.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.096,0.543]
## ---------------------------------------
## Degrees of freedom: 145
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.095,0.542]
## ---------------------------------------
## Degrees of freedom: 145.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.318 95% CI [0.095,0.541]
## ---------------------------------------
## Degrees of freedom: 146
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.318 95% CI [0.095,0.54]
## ---------------------------------------
## Degrees of freedom: 146.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.317 95% CI [0.095,0.539]
## ---------------------------------------
## Degrees of freedom: 147
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.317 95% CI [0.095,0.538]
## ---------------------------------------
## Degrees of freedom: 147.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.316 95% CI [0.095,0.537]
## ---------------------------------------
## Degrees of freedom: 148
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.094,0.536]
## ---------------------------------------
## Degrees of freedom: 148.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.094,0.536]
## ---------------------------------------
## Degrees of freedom: 149
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.314 95% CI [0.094,0.535]
## ---------------------------------------
## Degrees of freedom: 149.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.314 95% CI [0.094,0.534]
## ---------------------------------------
## Degrees of freedom: 150
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.094,0.533]
## ---------------------------------------
## Degrees of freedom: 150.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.094,0.532]
## ---------------------------------------
## Degrees of freedom: 151
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.093,0.531]
## ---------------------------------------
## Degrees of freedom: 151.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.093,0.53]
## ---------------------------------------
## Degrees of freedom: 152
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.311 95% CI [0.093,0.53]
## ---------------------------------------
## Degrees of freedom: 152.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.311 95% CI [0.093,0.529]
## ---------------------------------------
## Degrees of freedom: 153
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.31 95% CI [0.093,0.528]
## ---------------------------------------
## Degrees of freedom: 153.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.31 95% CI [0.093,0.527]
## ---------------------------------------
## Degrees of freedom: 154
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.093,0.526]
## ---------------------------------------
## Degrees of freedom: 154.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.092,0.525]
## ---------------------------------------
## Degrees of freedom: 155
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.308 95% CI [0.092,0.524]
## ---------------------------------------
## Degrees of freedom: 155.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.308 95% CI [0.092,0.524]
## ---------------------------------------
## Degrees of freedom: 156
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.092,0.523]
## ---------------------------------------
## Degrees of freedom: 156.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.092,0.522]
## ---------------------------------------
## Degrees of freedom: 157
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.092,0.521]
## ---------------------------------------
## Degrees of freedom: 157.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.092,0.52]
## ---------------------------------------
## Degrees of freedom: 158
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.091,0.52]
## ---------------------------------------
## Degrees of freedom: 158.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.305 95% CI [0.091,0.519]
## ---------------------------------------
## Degrees of freedom: 159
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.305 95% CI [0.091,0.518]
## ---------------------------------------
## Degrees of freedom: 159.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.517]
## ---------------------------------------
## Degrees of freedom: 160
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.516]
## ---------------------------------------
## Degrees of freedom: 160.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.091,0.516]
## ---------------------------------------
## Degrees of freedom: 161
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.091,0.515]
## ---------------------------------------
## Degrees of freedom: 161.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.09,0.514]
## ---------------------------------------
## Degrees of freedom: 162
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.09,0.513]
## ---------------------------------------
## Degrees of freedom: 162.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.512]
## ---------------------------------------
## Degrees of freedom: 163
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.512]
## ---------------------------------------
## Degrees of freedom: 163.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.511]
## ---------------------------------------
## Degrees of freedom: 164
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.51]
## ---------------------------------------
## Degrees of freedom: 164.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.509]
## ---------------------------------------
## Degrees of freedom: 165
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.299 95% CI [0.09,0.509]
## ---------------------------------------
## Degrees of freedom: 165.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.299 95% CI [0.089,0.508]
## ---------------------------------------
## Degrees of freedom: 166
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.507]
## ---------------------------------------
## Degrees of freedom: 166.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.506]
## ---------------------------------------
## Degrees of freedom: 167
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.506]
## ---------------------------------------
## Degrees of freedom: 167.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.505]
## ---------------------------------------
## Degrees of freedom: 168
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.504]
## ---------------------------------------
## Degrees of freedom: 168.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.503]
## ---------------------------------------
## Degrees of freedom: 169
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.503]
## ---------------------------------------
## Degrees of freedom: 169.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.088,0.502]
## ---------------------------------------
## Degrees of freedom: 170
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.088,0.501]
## ---------------------------------------
## Degrees of freedom: 170.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.501]
## ---------------------------------------
## Degrees of freedom: 171
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.5]
## ---------------------------------------
## Degrees of freedom: 171.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.499]
## ---------------------------------------
## Degrees of freedom: 172
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.498]
## ---------------------------------------
## Degrees of freedom: 172.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.498]
## ---------------------------------------
## Degrees of freedom: 173
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.088,0.497]
## ---------------------------------------
## Degrees of freedom: 173.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.087,0.496]
## ---------------------------------------
## Degrees of freedom: 174
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.496]
## ---------------------------------------
## Degrees of freedom: 174.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.495]
## ---------------------------------------
## Degrees of freedom: 175
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.494]
## ---------------------------------------
## Degrees of freedom: 175.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.494]
## ---------------------------------------
## Degrees of freedom: 176
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.493]
## ---------------------------------------
## Degrees of freedom: 176.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.492]
## ---------------------------------------
## Degrees of freedom: 177
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.491]
## ---------------------------------------
## Degrees of freedom: 177.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.086,0.491]
## ---------------------------------------
## Degrees of freedom: 178
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.49]
## ---------------------------------------
## Degrees of freedom: 178.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.489]
## ---------------------------------------
## Degrees of freedom: 179
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.489]
## ---------------------------------------
## Degrees of freedom: 179.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.488]
## ---------------------------------------
## Degrees of freedom: 180
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.487]
## ---------------------------------------
## Degrees of freedom: 180.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.086,0.487]
## ---------------------------------------
## Degrees of freedom: 181
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.086,0.486]
## ---------------------------------------
## Degrees of freedom: 181.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.485]
## ---------------------------------------
## Degrees of freedom: 182
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.485]
## ---------------------------------------
## Degrees of freedom: 182.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.484]
## ---------------------------------------
## Degrees of freedom: 183
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.483]
## ---------------------------------------
## Degrees of freedom: 183.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.483]
## ---------------------------------------
## Degrees of freedom: 184
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.482]
## ---------------------------------------
## Degrees of freedom: 184.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.482]
## ---------------------------------------
## Degrees of freedom: 185
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.481]
## ---------------------------------------
## Degrees of freedom: 185.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.085,0.48]
## ---------------------------------------
## Degrees of freedom: 186
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.084,0.48]
## ---------------------------------------
## Degrees of freedom: 186.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.084,0.479]
## ---------------------------------------
## Degrees of freedom: 187
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.478]
## ---------------------------------------
## Degrees of freedom: 187.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.478]
## ---------------------------------------
## Degrees of freedom: 188
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.477]
## ---------------------------------------
## Degrees of freedom: 188.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.476]
## ---------------------------------------
## Degrees of freedom: 189
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.476]
## ---------------------------------------
## Degrees of freedom: 189.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.475]
## ---------------------------------------
## Degrees of freedom: 190
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.475]
## ---------------------------------------
## Degrees of freedom: 190.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.083,0.474]
## ---------------------------------------
## Degrees of freedom: 191
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.473]
## ---------------------------------------
## Degrees of freedom: 191.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.473]
## ---------------------------------------
## Degrees of freedom: 192
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.472]
## ---------------------------------------
## Degrees of freedom: 192.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.472]
## ---------------------------------------
## Degrees of freedom: 193
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.471]
## ---------------------------------------
## Degrees of freedom: 193.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.47]
## ---------------------------------------
## Degrees of freedom: 194
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.47]
## ---------------------------------------
## Degrees of freedom: 194.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.469]
## ---------------------------------------
## Degrees of freedom: 195
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.469]
## ---------------------------------------
## Degrees of freedom: 195.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.468]
## ---------------------------------------
## Degrees of freedom: 196
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.467]
## ---------------------------------------
## Degrees of freedom: 196.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.467]
## ---------------------------------------
## Degrees of freedom: 197
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.466]
## ---------------------------------------
## Degrees of freedom: 197.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.466]
## ---------------------------------------
## Degrees of freedom: 198
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.465]
## ---------------------------------------
## Degrees of freedom: 198.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.465]
## ---------------------------------------
## Degrees of freedom: 199
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.464]
## ---------------------------------------
## Degrees of freedom: 199.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.463]
## ---------------------------------------
## Degrees of freedom: 200
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.082,0.463]
## ---------------------------------------
## Degrees of freedom: 200.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.081,0.462]
## ---------------------------------------
## Degrees of freedom: 201
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.081,0.462]
## ---------------------------------------
## Degrees of freedom: 201.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.461]
## ---------------------------------------
## Degrees of freedom: 202
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.461]
## ---------------------------------------
## Degrees of freedom: 202.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.46]
## ---------------------------------------
## Degrees of freedom: 203
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.459]
## ---------------------------------------
## Degrees of freedom: 203.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.459]
## ---------------------------------------
## Degrees of freedom: 204
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.458]
## ---------------------------------------
## Degrees of freedom: 204.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.458]
## ---------------------------------------
## Degrees of freedom: 205
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.457]
## ---------------------------------------
## Degrees of freedom: 205.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.08,0.457]
## ---------------------------------------
## Degrees of freedom: 206
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.456]
## ---------------------------------------
## Degrees of freedom: 206.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.456]
## ---------------------------------------
## Degrees of freedom: 207
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.455]
## ---------------------------------------
## Degrees of freedom: 207.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 208
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 208.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.453]
## ---------------------------------------
## Degrees of freedom: 209
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.453]
## ---------------------------------------
## Degrees of freedom: 209.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.452]
## ---------------------------------------
## Degrees of freedom: 210
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.452]
## ---------------------------------------
## Degrees of freedom: 210.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.08,0.451]
## ---------------------------------------
## Degrees of freedom: 211
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.079,0.451]
## ---------------------------------------
## Degrees of freedom: 211.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.079,0.45]
## ---------------------------------------
## Degrees of freedom: 212
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.45]
## ---------------------------------------
## Degrees of freedom: 212.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.449]
## ---------------------------------------
## Degrees of freedom: 213
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.449]
## ---------------------------------------
## Degrees of freedom: 213.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 214
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 214.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.447]
## ---------------------------------------
## Degrees of freedom: 215
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.447]
## ---------------------------------------
## Degrees of freedom: 215.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.446]
## ---------------------------------------
## Degrees of freedom: 216
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.446]
## ---------------------------------------
## Degrees of freedom: 216.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.078,0.445]
## ---------------------------------------
## Degrees of freedom: 217
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.445]
## ---------------------------------------
## Degrees of freedom: 217.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 218
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 218.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 219
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 219.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.442]
## ---------------------------------------
## Degrees of freedom: 220
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.442]
## ---------------------------------------
## Degrees of freedom: 220.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.441]
## ---------------------------------------
## Degrees of freedom: 221
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.441]
## ---------------------------------------
## Degrees of freedom: 221.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.44]
## ---------------------------------------
## Degrees of freedom: 222
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.077,0.44]
## ---------------------------------------
## Degrees of freedom: 222.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.439]
## ---------------------------------------
## Degrees of freedom: 223
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.439]
## ---------------------------------------
## Degrees of freedom: 223.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 224
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 224.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 225
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 225.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.436]
## ---------------------------------------
## Degrees of freedom: 226
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.436]
## ---------------------------------------
## Degrees of freedom: 226.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.435]
## ---------------------------------------
## Degrees of freedom: 227
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.435]
## ---------------------------------------
## Degrees of freedom: 227.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.077,0.434]
## ---------------------------------------
## Degrees of freedom: 228
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.434]
## ---------------------------------------
## Degrees of freedom: 228.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 229
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 229.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 230
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 230.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 231
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.431]
## ---------------------------------------
## Degrees of freedom: 231.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.431]
## ---------------------------------------
## Degrees of freedom: 232
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 232.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 233
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.429]
## ---------------------------------------
## Degrees of freedom: 233.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.429]
## ---------------------------------------
## Degrees of freedom: 234
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.428]
## ---------------------------------------
## Degrees of freedom: 234.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.075,0.428]
## ---------------------------------------
## Degrees of freedom: 235
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 235.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 236
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 236.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 237
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 237.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.425]
## ---------------------------------------
## Degrees of freedom: 238
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.425]
## ---------------------------------------
## Degrees of freedom: 238.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.424]
## ---------------------------------------
## Degrees of freedom: 239
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.424]
## ---------------------------------------
## Degrees of freedom: 239.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.423]
## ---------------------------------------
## Degrees of freedom: 240
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.423]
## ---------------------------------------
## Degrees of freedom: 240.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.074,0.423]
## ---------------------------------------
## Degrees of freedom: 241
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.422]
## ---------------------------------------
## Degrees of freedom: 241.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.422]
## ---------------------------------------
## Degrees of freedom: 242
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 242.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 243
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 243.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 244
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 244.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 245
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 245.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 246
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 246.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 247
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.074,0.417]
## ---------------------------------------
## Degrees of freedom: 247.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.417]
## ---------------------------------------
## Degrees of freedom: 248
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.416]
## ---------------------------------------
## Degrees of freedom: 248.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.416]
## ---------------------------------------
## Degrees of freedom: 249
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 249.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 250
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 250.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 251
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 251.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 252
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 252.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 253
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.412]
## ---------------------------------------
## Degrees of freedom: 253.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.412]
## ---------------------------------------
## Degrees of freedom: 254
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.411]
## ---------------------------------------
## Degrees of freedom: 254.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.072,0.411]
## ---------------------------------------
## Degrees of freedom: 255
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.411]
## ---------------------------------------
## Degrees of freedom: 255.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 256
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 256.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 257
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 257.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 258
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 258.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 259
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 259.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 260
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 260.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.406]
## ---------------------------------------
## Degrees of freedom: 261
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.406]
## ---------------------------------------
## Degrees of freedom: 261.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.071,0.406]
## ---------------------------------------
## Degrees of freedom: 262
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.405]
## ---------------------------------------
## Degrees of freedom: 262.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.405]
## ---------------------------------------
## Degrees of freedom: 263
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 263.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 264
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 264.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 265
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 265.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 266
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 266.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 267
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 267.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 268
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 268.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 269
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 269.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.4]
## ---------------------------------------
## Degrees of freedom: 270
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 270.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 271
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 271.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 272
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 272.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 273
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 273.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 274
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 274.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 275
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 275.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 276
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 276.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.394]
## ---------------------------------------
## Degrees of freedom: 277
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.394]
## ---------------------------------------
## Degrees of freedom: 277.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.069,0.394]
## ---------------------------------------
## Degrees of freedom: 278
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 278.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 279
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 279.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 280
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 280.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 281
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 281.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 282
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 282.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 283
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 283.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 284
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 284.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 285
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 285.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 286
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 286.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 287
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 287.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 288
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 288.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 289
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 289.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 290
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 290.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 291
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 291.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 292
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 292.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 293
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 293.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 294
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.383]
## ---------------------------------------
## Degrees of freedom: 294.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 295
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 295.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 296
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 296.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 297
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 297.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 298
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 298.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 299
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 299.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 300
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 300.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 301
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 301.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 302
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 302.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 303
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 303.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.066,0.377]
## ---------------------------------------
## Degrees of freedom: 304
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 304.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 305
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 305.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 306
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 306.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 307
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 307.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 308
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 308.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 309
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 309.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 310
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 310.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 311
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 311.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 312
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 312.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 313
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 313.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 314
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 314.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 315
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 315.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 316
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 316.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 317
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 317.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 318
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 318.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 319
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 319.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 320
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 320.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 321
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 321.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 322
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 322.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.366]
## ---------------------------------------
## Degrees of freedom: 323
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 323.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 324
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 324.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 325
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 325.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 326
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 326.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 327
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 327.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 328
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 328.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 329
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 329.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 330
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 330.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 331
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 331.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 332
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 332.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 333
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.063,0.36]
## ---------------------------------------
## Degrees of freedom: 333.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.36]
## ---------------------------------------
## Degrees of freedom: 334
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 334.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 335
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 335.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 336
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 336.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 337
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 337.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 338
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 338.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 339
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 339.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 340
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 340.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 341
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 341.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 342
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 342.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 343
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 343.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.063,0.354]
## ---------------------------------------
## Degrees of freedom: 344
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 344.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 345
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 345.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 346
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 346.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 347
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 347.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 348
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 348.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 349
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 349.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 350
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 350.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 351
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 351.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 352
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 352.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 353
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 353.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 354
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 354.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 355
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 355.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 356
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 356.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 357
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 357.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 358
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 358.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 359
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 359.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 360
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 360.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 361
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 361.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 362
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 362.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 363
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 363.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 364
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 364.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 365
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 365.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 366
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 366.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 367
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 367.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.06,0.343]
## ---------------------------------------
## Degrees of freedom: 368
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 368.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 369
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 369.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 370
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 370.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 371
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 371.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 372
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 372.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 373
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 373.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 374
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 374.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 375
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 375.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 376
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 376.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 377
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 377.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 378
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 378.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 379
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 379.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 380
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 380.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 381
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 381.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 382
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 382.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 383
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 383.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 384
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 384.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 385
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 385.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 386
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 386.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 387
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 387.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 388
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 388.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 389
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 389.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 390
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 390.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 391
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 391.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 392
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 392.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 393
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 393.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 394
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 394.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 395
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 395.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 396
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 396.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 397
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 397.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 398
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 398.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 399
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 399.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 400
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 400.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 401
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 401.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 402
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 402.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 403
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 403.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 404
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 404.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 405
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 405.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 406
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 406.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 407
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.057,0.326]
## ---------------------------------------
## Degrees of freedom: 407.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.057,0.326]
## ---------------------------------------
## Degrees of freedom: 408
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 408.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 409
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 409.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 410
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 410.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 411
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 411.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 412
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 412.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 413
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 413.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 414
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 414.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 415
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 415.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 416
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 416.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 417
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 417.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 418
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 418.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 419
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 419.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 420
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 420.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 421
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 421.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 422
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 422.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 423
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 423.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 424
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 424.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 425
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 425.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 426
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 426.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 427
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 427.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 428
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 428.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 429
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 429.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 430
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 430.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 431
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 431.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 432
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 432.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 433
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 433.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 434
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 434.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.315]
## ---------------------------------------
## Degrees of freedom: 435
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.056,0.315]
## ---------------------------------------
## Degrees of freedom: 435.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.056,0.315]
## ---------------------------------------
## Degrees of freedom: 436
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.056,0.315]
## ---------------------------------------
## Degrees of freedom: 436.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.056,0.315]
## ---------------------------------------
## Degrees of freedom: 437
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.056,0.314]
## ---------------------------------------
## Degrees of freedom: 437.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 438
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 438.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 439
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.185 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 439.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.314]
## ---------------------------------------
## Degrees of freedom: 440
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 440.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 441
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 441.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 442
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 442.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.313]
## ---------------------------------------
## Degrees of freedom: 443
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 443.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 444
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.184 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 444.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 445
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.312]
## ---------------------------------------
## Degrees of freedom: 445.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 446
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 446.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 447
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 447.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 448
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.311]
## ---------------------------------------
## Degrees of freedom: 448.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 449
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.183 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 449.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 450
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 450.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 451
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.31]
## ---------------------------------------
## Degrees of freedom: 451.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.309]
## ---------------------------------------
## Degrees of freedom: 452
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.309]
## ---------------------------------------
## Degrees of freedom: 452.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.309]
## ---------------------------------------
## Degrees of freedom: 453
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.055,0.309]
## ---------------------------------------
## Degrees of freedom: 453.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.054,0.309]
## ---------------------------------------
## Degrees of freedom: 454
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.182 95% CI [0.054,0.309]
## ---------------------------------------
## Degrees of freedom: 454.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 455
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 455.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 456
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 456.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 457
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.308]
## ---------------------------------------
## Degrees of freedom: 457.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 458
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 458.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 459
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.181 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 459.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 460
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.307]
## ---------------------------------------
## Degrees of freedom: 460.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 461
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 461.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 462
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 462.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 463
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.306]
## ---------------------------------------
## Degrees of freedom: 463.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 464
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.18 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 464.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 465
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 465.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 466
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.305]
## ---------------------------------------
## Degrees of freedom: 466.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 467
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 467.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 468
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 468.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 469
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.304]
## ---------------------------------------
## Degrees of freedom: 469.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.179 95% CI [0.054,0.303]
## ---------------------------------------
## Degrees of freedom: 470
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.054,0.303]
## ---------------------------------------
## Degrees of freedom: 470.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.054,0.303]
## ---------------------------------------
## Degrees of freedom: 471
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.303]
## ---------------------------------------
## Degrees of freedom: 471.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.303]
## ---------------------------------------
## Degrees of freedom: 472
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.303]
## ---------------------------------------
## Degrees of freedom: 472.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.303]
## ---------------------------------------
## Degrees of freedom: 473
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 473.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 474
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 474.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.178 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 475
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 475.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.302]
## ---------------------------------------
## Degrees of freedom: 476
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 476.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 477
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 477.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 478
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 478.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.301]
## ---------------------------------------
## Degrees of freedom: 479
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 479.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 480
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.177 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 480.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 481
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 481.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 482
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.3]
## ---------------------------------------
## Degrees of freedom: 482.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 483
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 483.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 484
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 484.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 485
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.299]
## ---------------------------------------
## Degrees of freedom: 485.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.176 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 486
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 486.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 487
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 487.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 488
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 488.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.053,0.298]
## ---------------------------------------
## Degrees of freedom: 489
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 489.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 490
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 490.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 491
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 491.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.175 95% CI [0.052,0.297]
## ---------------------------------------
## Degrees of freedom: 492
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 492.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 493
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 493.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 494
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 494.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 495
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.296]
## ---------------------------------------
## Degrees of freedom: 495.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 496
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 496.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 497
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.174 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 497.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 498
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 498.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.295]
## ---------------------------------------
## Degrees of freedom: 499
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 499.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 500
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 500.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 501
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 501.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 502
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.294]
## ---------------------------------------
## Degrees of freedom: 502.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 503
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.173 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 503.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 504
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 504.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 505
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 505.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.293]
## ---------------------------------------
## Degrees of freedom: 506
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.292]
## ---------------------------------------
## Degrees of freedom: 506.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.292]
## ---------------------------------------
## Degrees of freedom: 507
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.292]
## ---------------------------------------
## Degrees of freedom: 507.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.292]
## ---------------------------------------
## Degrees of freedom: 508
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.052,0.292]
## ---------------------------------------
## Degrees of freedom: 508.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.051,0.292]
## ---------------------------------------
## Degrees of freedom: 509
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.172 95% CI [0.051,0.292]
## ---------------------------------------
## Degrees of freedom: 509.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 510
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 510.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 511
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 511.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 512
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 512.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.291]
## ---------------------------------------
## Degrees of freedom: 513
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 513.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 514
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 514.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 515
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.171 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 515.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 516
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.29]
## ---------------------------------------
## Degrees of freedom: 516.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 517
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 517.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 518
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 518.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 519
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 519.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.289]
## ---------------------------------------
## Degrees of freedom: 520
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 520.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 521
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.17 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 521.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 522
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 522.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 523
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.288]
## ---------------------------------------
## Degrees of freedom: 523.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 524
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 524.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 525
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 525.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 526
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 526.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 527
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.169 95% CI [0.051,0.287]
## ---------------------------------------
## Degrees of freedom: 527.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.051,0.286]
## ---------------------------------------
## Degrees of freedom: 528
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.051,0.286]
## ---------------------------------------
## Degrees of freedom: 528.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.051,0.286]
## ---------------------------------------
## Degrees of freedom: 529
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.286]
## ---------------------------------------
## Degrees of freedom: 529.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.286]
## ---------------------------------------
## Degrees of freedom: 530
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.286]
## ---------------------------------------
## Degrees of freedom: 530.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.286]
## ---------------------------------------
## Degrees of freedom: 531
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 531.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 532
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 532.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 533
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 533.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.168 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 534
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 534.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.285]
## ---------------------------------------
## Degrees of freedom: 535
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 535.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 536
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 536.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 537
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 537.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 538
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.284]
## ---------------------------------------
## Degrees of freedom: 538.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 539
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 539.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 540
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.167 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 540.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 541
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 541.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 542
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.283]
## ---------------------------------------
## Degrees of freedom: 542.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 543
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 543.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 544
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 544.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 545
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 545.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 546
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.282]
## ---------------------------------------
## Degrees of freedom: 546.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.166 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 547
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 547.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 548
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 548.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 549
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 549.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 550
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.281]
## ---------------------------------------
## Degrees of freedom: 550.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.05,0.28]
## ---------------------------------------
## Degrees of freedom: 551
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 551.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 552
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 552.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 553
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 553.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.165 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 554
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.28]
## ---------------------------------------
## Degrees of freedom: 554.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 555
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 555.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 556
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 556.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 557
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 557.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 558
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.279]
## ---------------------------------------
## Degrees of freedom: 558.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 559
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 559.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 560
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.164 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 560.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 561
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 561.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 562
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.278]
## ---------------------------------------
## Degrees of freedom: 562.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 563
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 563.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 564
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 564.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 565
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 565.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 566
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.277]
## ---------------------------------------
## Degrees of freedom: 566.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 567
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.163 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 567.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 568
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 568.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 569
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 569.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 570
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.276]
## ---------------------------------------
## Degrees of freedom: 570.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 571
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 571.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 572
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 572.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 573
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 573.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.049,0.275]
## ---------------------------------------
## Degrees of freedom: 574
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.162 95% CI [0.048,0.275]
## ---------------------------------------
## Degrees of freedom: 574.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.275]
## ---------------------------------------
## Degrees of freedom: 575
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 575.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 576
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 576.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 577
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 577.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 578
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 578.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.274]
## ---------------------------------------
## Degrees of freedom: 579
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 579.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 580
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 580.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 581
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 581.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.161 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 582
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 582.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 583
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.273]
## ---------------------------------------
## Degrees of freedom: 583.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 584
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 584.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 585
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 585.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 586
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 586.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 587
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.272]
## ---------------------------------------
## Degrees of freedom: 587.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 588
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 588.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 589
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.16 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 589.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 590
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 590.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 591
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 591.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.271]
## ---------------------------------------
## Degrees of freedom: 592
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 592.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 593
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 593.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 594
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 594.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 595
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 595.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 596
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.27]
## ---------------------------------------
## Degrees of freedom: 596.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.159 95% CI [0.048,0.269]
## ---------------------------------------
## Degrees of freedom: 597
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.048,0.269]
## ---------------------------------------
## Degrees of freedom: 597.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.048,0.269]
## ---------------------------------------
## Degrees of freedom: 598
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.048,0.269]
## ---------------------------------------
## Degrees of freedom: 598.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 599
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 599.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 600
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 600.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.269]
## ---------------------------------------
## Degrees of freedom: 601
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 601.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 602
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 602.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 603
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 603.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 604
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.158 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 604.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 605
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.268]
## ---------------------------------------
## Degrees of freedom: 605.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 606
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 606.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 607
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 607.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 608
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 608.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 609
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 609.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.267]
## ---------------------------------------
## Degrees of freedom: 610
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 610.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 611
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 611.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.157 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 612
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 612.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 613
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 613.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 614
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.266]
## ---------------------------------------
## Degrees of freedom: 614.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 615
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 615.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 616
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 616.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 617
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 617.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 618
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 618.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 619
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.265]
## ---------------------------------------
## Degrees of freedom: 619.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.156 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 620
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 620.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 621
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 621.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 622
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 622.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 623
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 623.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.264]
## ---------------------------------------
## Degrees of freedom: 624
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.263]
## ---------------------------------------
## Degrees of freedom: 624.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.047,0.263]
## ---------------------------------------
## Degrees of freedom: 625
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 625.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 626
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 626.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 627
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 627.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 628
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.155 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 628.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.263]
## ---------------------------------------
## Degrees of freedom: 629
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 629.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 630
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 630.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 631
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 631.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 632
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 632.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 633
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.262]
## ---------------------------------------
## Degrees of freedom: 633.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 634
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 634.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 635
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 635.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 636
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.154 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 636.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 637
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 637.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 638
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.261]
## ---------------------------------------
## Degrees of freedom: 638.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 639
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 639.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 640
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 640.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 641
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 641.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 642
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 642.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 643
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.26]
## ---------------------------------------
## Degrees of freedom: 643.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 644
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 644.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.153 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 645
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 645.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 646
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 646.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 647
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 647.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 648
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.259]
## ---------------------------------------
## Degrees of freedom: 648.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 649
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 649.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 650
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 650.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 651
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 651.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 652
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 652.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.046,0.258]
## ---------------------------------------
## Degrees of freedom: 653
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.152 95% CI [0.045,0.258]
## ---------------------------------------
## Degrees of freedom: 653.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 654
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 654.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 655
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 655.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 656
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 656.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 657
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 657.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 658
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 658.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.257]
## ---------------------------------------
## Degrees of freedom: 659
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 659.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 660
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 660.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 661
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 661.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 662
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.151 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 662.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 663
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 663.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.256]
## ---------------------------------------
## Degrees of freedom: 664
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 664.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 665
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 665.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 666
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 666.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 667
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 667.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 668
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 668.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.255]
## ---------------------------------------
## Degrees of freedom: 669
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 669.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 670
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 670.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.15 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 671
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 671.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 672
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 672.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 673
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 673.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 674
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.254]
## ---------------------------------------
## Degrees of freedom: 674.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 675
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 675.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 676
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 676.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 677
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 677.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 678
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 678.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 679
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 679.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.253]
## ---------------------------------------
## Degrees of freedom: 680
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.149 95% CI [0.045,0.252]
## ---------------------------------------
## Degrees of freedom: 680.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.045,0.252]
## ---------------------------------------
## Degrees of freedom: 681
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.045,0.252]
## ---------------------------------------
## Degrees of freedom: 681.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.045,0.252]
## ---------------------------------------
## Degrees of freedom: 682
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.045,0.252]
## ---------------------------------------
## Degrees of freedom: 682.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 683
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 683.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 684
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 684.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 685
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.252]
## ---------------------------------------
## Degrees of freedom: 685.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 686
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 686.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 687
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 687.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 688
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 688.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 689
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.148 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 689.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 690
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 690.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.251]
## ---------------------------------------
## Degrees of freedom: 691
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 691.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 692
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 692.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 693
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 693.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 694
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 694.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 695
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 695.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 696
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.25]
## ---------------------------------------
## Degrees of freedom: 696.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 697
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 697.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 698
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 698.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.147 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 699
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 699.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 700
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 700.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 701
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 701.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.249]
## ---------------------------------------
## Degrees of freedom: 702
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 702.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 703
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 703.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 704
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 704.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 705
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 705.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 706
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 706.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 707
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 707.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.248]
## ---------------------------------------
## Degrees of freedom: 708
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 708.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.146 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 709
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 709.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 710
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 710.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 711
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 711.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 712
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 712.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 713
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.247]
## ---------------------------------------
## Degrees of freedom: 713.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.246]
## ---------------------------------------
## Degrees of freedom: 714
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.044,0.246]
## ---------------------------------------
## Degrees of freedom: 714.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 715
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 715.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 716
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 716.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 717
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 717.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 718
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.145 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 718.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 719
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.246]
## ---------------------------------------
## Degrees of freedom: 719.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 720
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 720.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 721
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 721.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 722
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 722.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 723
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 723.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 724
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 724.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 725
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.245]
## ---------------------------------------
## Degrees of freedom: 725.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 726
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 726.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 727
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 727.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 728
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 728.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.144 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 729
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 729.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 730
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 730.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 731
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.244]
## ---------------------------------------
## Degrees of freedom: 731.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 732
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 732.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 733
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 733.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 734
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 734.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 735
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 735.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 736
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 736.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 737
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.243]
## ---------------------------------------
## Degrees of freedom: 737.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 738
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 738.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.143 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 739
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 739.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 740
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 740.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 741
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 741.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 742
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 742.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 743
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.242]
## ---------------------------------------
## Degrees of freedom: 743.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 744
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 744.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 745
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 745.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 746
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 746.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 747
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 747.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 748
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 748.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.043,0.241]
## ---------------------------------------
## Degrees of freedom: 749
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.142 95% CI [0.042,0.241]
## ---------------------------------------
## Degrees of freedom: 749.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.241]
## ---------------------------------------
## Degrees of freedom: 750
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 750.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 751
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 751.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 752
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 752.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 753
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 753.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 754
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 754.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 755
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 755.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.24]
## ---------------------------------------
## Degrees of freedom: 756
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 756.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 757
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 757.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 758
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 758.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 759
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 759.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 760
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.141 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 760.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 761
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 761.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 762
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.239]
## ---------------------------------------
## Degrees of freedom: 762.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 763
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 763.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 764
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 764.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 765
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 765.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 766
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 766.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 767
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 767.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 768
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 768.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.238]
## ---------------------------------------
## Degrees of freedom: 769
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 769.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 770
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 770.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 771
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.14 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 771.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 772
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 772.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 773
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 773.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 774
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 774.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 775
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.237]
## ---------------------------------------
## Degrees of freedom: 775.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 776
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 776.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 777
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 777.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 778
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 778.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 779
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 779.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 780
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 780.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 781
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 781.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.236]
## ---------------------------------------
## Degrees of freedom: 782
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.139 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 782.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 783
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 783.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 784
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 784.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 785
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.042,0.235]
## ---------------------------------------
## Degrees of freedom: 785.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 786
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 786.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 787
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 787.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 788
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 788.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.235]
## ---------------------------------------
## Degrees of freedom: 789
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 789.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 790
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 790.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 791
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 791.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 792
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 792.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 793
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 793.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.138 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 794
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 794.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.137 95% CI [0.041,0.234]
## ---------------------------------------
## Degrees of freedom: 795
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity designplot(crd2, ypar = "mdes", xpar = "n2",
ylim = c(.10, .90), xlim = c(10, 800),
ylab = "MDES (with Power = .80)", xlab = "Number of Clusters",
main = expression(CRD (S + S^2 + TS + TS^2)), locate = TRUE)##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 2.463 95% CI [0.579,4.348]
## ---------------------------------------
## Degrees of freedom: 3
## Standardized standard error: 0.592
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 2.251 95% CI [0.553,3.95]
## ---------------------------------------
## Degrees of freedom: 3.5
## Standardized standard error: 0.578
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 2.098 95% CI [0.531,3.666]
## ---------------------------------------
## Degrees of freedom: 4
## Standardized standard error: 0.564
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.981 95% CI [0.513,3.449]
## ---------------------------------------
## Degrees of freedom: 4.5
## Standardized standard error: 0.552
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.886 95% CI [0.497,3.276]
## ---------------------------------------
## Degrees of freedom: 5
## Standardized standard error: 0.54
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.808 95% CI [0.483,3.133]
## ---------------------------------------
## Degrees of freedom: 5.5
## Standardized standard error: 0.53
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.741 95% CI [0.47,3.011]
## ---------------------------------------
## Degrees of freedom: 6
## Standardized standard error: 0.519
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.683 95% CI [0.459,2.907]
## ---------------------------------------
## Degrees of freedom: 6.5
## Standardized standard error: 0.51
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.631 95% CI [0.448,2.815]
## ---------------------------------------
## Degrees of freedom: 7
## Standardized standard error: 0.5
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.586 95% CI [0.439,2.733]
## ---------------------------------------
## Degrees of freedom: 7.5
## Standardized standard error: 0.492
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.544 95% CI [0.43,2.659]
## ---------------------------------------
## Degrees of freedom: 8
## Standardized standard error: 0.483
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.507 95% CI [0.421,2.592]
## ---------------------------------------
## Degrees of freedom: 8.5
## Standardized standard error: 0.476
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.472 95% CI [0.413,2.531]
## ---------------------------------------
## Degrees of freedom: 9
## Standardized standard error: 0.468
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.44 95% CI [0.406,2.475]
## ---------------------------------------
## Degrees of freedom: 9.5
## Standardized standard error: 0.461
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.411 95% CI [0.399,2.423]
## ---------------------------------------
## Degrees of freedom: 10
## Standardized standard error: 0.454
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.383 95% CI [0.393,2.374]
## ---------------------------------------
## Degrees of freedom: 10.5
## Standardized standard error: 0.448
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.358 95% CI [0.386,2.329]
## ---------------------------------------
## Degrees of freedom: 11
## Standardized standard error: 0.441
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.333 95% CI [0.38,2.286]
## ---------------------------------------
## Degrees of freedom: 11.5
## Standardized standard error: 0.435
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.311 95% CI [0.375,2.246]
## ---------------------------------------
## Degrees of freedom: 12
## Standardized standard error: 0.43
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.289 95% CI [0.369,2.209]
## ---------------------------------------
## Degrees of freedom: 12.5
## Standardized standard error: 0.424
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.269 95% CI [0.364,2.173]
## ---------------------------------------
## Degrees of freedom: 13
## Standardized standard error: 0.419
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.249 95% CI [0.359,2.139]
## ---------------------------------------
## Degrees of freedom: 13.5
## Standardized standard error: 0.413
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.231 95% CI [0.355,2.107]
## ---------------------------------------
## Degrees of freedom: 14
## Standardized standard error: 0.409
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.213 95% CI [0.35,2.076]
## ---------------------------------------
## Degrees of freedom: 14.5
## Standardized standard error: 0.404
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.197 95% CI [0.346,2.047]
## ---------------------------------------
## Degrees of freedom: 15
## Standardized standard error: 0.399
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.18 95% CI [0.342,2.019]
## ---------------------------------------
## Degrees of freedom: 15.5
## Standardized standard error: 0.395
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.165 95% CI [0.338,1.993]
## ---------------------------------------
## Degrees of freedom: 16
## Standardized standard error: 0.39
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.15 95% CI [0.334,1.967]
## ---------------------------------------
## Degrees of freedom: 16.5
## Standardized standard error: 0.386
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.136 95% CI [0.33,1.942]
## ---------------------------------------
## Degrees of freedom: 17
## Standardized standard error: 0.382
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.123 95% CI [0.326,1.919]
## ---------------------------------------
## Degrees of freedom: 17.5
## Standardized standard error: 0.378
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.109 95% CI [0.323,1.896]
## ---------------------------------------
## Degrees of freedom: 18
## Standardized standard error: 0.374
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.097 95% CI [0.319,1.874]
## ---------------------------------------
## Degrees of freedom: 18.5
## Standardized standard error: 0.371
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.085 95% CI [0.316,1.853]
## ---------------------------------------
## Degrees of freedom: 19
## Standardized standard error: 0.367
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.073 95% CI [0.313,1.833]
## ---------------------------------------
## Degrees of freedom: 19.5
## Standardized standard error: 0.364
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.061 95% CI [0.31,1.813]
## ---------------------------------------
## Degrees of freedom: 20
## Standardized standard error: 0.36
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.05 95% CI [0.307,1.794]
## ---------------------------------------
## Degrees of freedom: 20.5
## Standardized standard error: 0.357
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.04 95% CI [0.304,1.776]
## ---------------------------------------
## Degrees of freedom: 21
## Standardized standard error: 0.354
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.029 95% CI [0.301,1.758]
## ---------------------------------------
## Degrees of freedom: 21.5
## Standardized standard error: 0.351
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.019 95% CI [0.298,1.74]
## ---------------------------------------
## Degrees of freedom: 22
## Standardized standard error: 0.348
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1.01 95% CI [0.296,1.724]
## ---------------------------------------
## Degrees of freedom: 22.5
## Standardized standard error: 0.345
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 1 95% CI [0.293,1.707]
## ---------------------------------------
## Degrees of freedom: 23
## Standardized standard error: 0.342
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.991 95% CI [0.291,1.691]
## ---------------------------------------
## Degrees of freedom: 23.5
## Standardized standard error: 0.339
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.982 95% CI [0.288,1.676]
## ---------------------------------------
## Degrees of freedom: 24
## Standardized standard error: 0.336
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.973 95% CI [0.286,1.661]
## ---------------------------------------
## Degrees of freedom: 24.5
## Standardized standard error: 0.334
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.965 95% CI [0.283,1.647]
## ---------------------------------------
## Degrees of freedom: 25
## Standardized standard error: 0.331
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.957 95% CI [0.281,1.632]
## ---------------------------------------
## Degrees of freedom: 25.5
## Standardized standard error: 0.328
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.949 95% CI [0.279,1.619]
## ---------------------------------------
## Degrees of freedom: 26
## Standardized standard error: 0.326
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.941 95% CI [0.277,1.605]
## ---------------------------------------
## Degrees of freedom: 26.5
## Standardized standard error: 0.323
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.933 95% CI [0.275,1.592]
## ---------------------------------------
## Degrees of freedom: 27
## Standardized standard error: 0.321
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.926 95% CI [0.272,1.579]
## ---------------------------------------
## Degrees of freedom: 27.5
## Standardized standard error: 0.319
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.919 95% CI [0.27,1.567]
## ---------------------------------------
## Degrees of freedom: 28
## Standardized standard error: 0.316
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.912 95% CI [0.268,1.555]
## ---------------------------------------
## Degrees of freedom: 28.5
## Standardized standard error: 0.314
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.905 95% CI [0.267,1.543]
## ---------------------------------------
## Degrees of freedom: 29
## Standardized standard error: 0.312
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.898 95% CI [0.265,1.531]
## ---------------------------------------
## Degrees of freedom: 29.5
## Standardized standard error: 0.31
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.891 95% CI [0.263,1.52]
## ---------------------------------------
## Degrees of freedom: 30
## Standardized standard error: 0.308
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.885 95% CI [0.261,1.509]
## ---------------------------------------
## Degrees of freedom: 30.5
## Standardized standard error: 0.306
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.879 95% CI [0.259,1.498]
## ---------------------------------------
## Degrees of freedom: 31
## Standardized standard error: 0.304
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.872 95% CI [0.257,1.487]
## ---------------------------------------
## Degrees of freedom: 31.5
## Standardized standard error: 0.302
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.866 95% CI [0.256,1.477]
## ---------------------------------------
## Degrees of freedom: 32
## Standardized standard error: 0.3
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.86 95% CI [0.254,1.467]
## ---------------------------------------
## Degrees of freedom: 32.5
## Standardized standard error: 0.298
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.855 95% CI [0.252,1.457]
## ---------------------------------------
## Degrees of freedom: 33
## Standardized standard error: 0.296
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.849 95% CI [0.251,1.447]
## ---------------------------------------
## Degrees of freedom: 33.5
## Standardized standard error: 0.294
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.843 95% CI [0.249,1.438]
## ---------------------------------------
## Degrees of freedom: 34
## Standardized standard error: 0.292
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.838 95% CI [0.248,1.428]
## ---------------------------------------
## Degrees of freedom: 34.5
## Standardized standard error: 0.291
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.833 95% CI [0.246,1.419]
## ---------------------------------------
## Degrees of freedom: 35
## Standardized standard error: 0.289
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.827 95% CI [0.245,1.41]
## ---------------------------------------
## Degrees of freedom: 35.5
## Standardized standard error: 0.287
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.822 95% CI [0.243,1.401]
## ---------------------------------------
## Degrees of freedom: 36
## Standardized standard error: 0.286
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.817 95% CI [0.242,1.393]
## ---------------------------------------
## Degrees of freedom: 36.5
## Standardized standard error: 0.284
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.812 95% CI [0.24,1.384]
## ---------------------------------------
## Degrees of freedom: 37
## Standardized standard error: 0.282
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.807 95% CI [0.239,1.376]
## ---------------------------------------
## Degrees of freedom: 37.5
## Standardized standard error: 0.281
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.803 95% CI [0.238,1.368]
## ---------------------------------------
## Degrees of freedom: 38
## Standardized standard error: 0.279
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.798 95% CI [0.236,1.359]
## ---------------------------------------
## Degrees of freedom: 38.5
## Standardized standard error: 0.278
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.793 95% CI [0.235,1.352]
## ---------------------------------------
## Degrees of freedom: 39
## Standardized standard error: 0.276
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.789 95% CI [0.234,1.344]
## ---------------------------------------
## Degrees of freedom: 39.5
## Standardized standard error: 0.275
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.784 95% CI [0.232,1.336]
## ---------------------------------------
## Degrees of freedom: 40
## Standardized standard error: 0.273
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.78 95% CI [0.231,1.329]
## ---------------------------------------
## Degrees of freedom: 40.5
## Standardized standard error: 0.272
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.776 95% CI [0.23,1.321]
## ---------------------------------------
## Degrees of freedom: 41
## Standardized standard error: 0.27
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.771 95% CI [0.229,1.314]
## ---------------------------------------
## Degrees of freedom: 41.5
## Standardized standard error: 0.269
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.767 95% CI [0.227,1.307]
## ---------------------------------------
## Degrees of freedom: 42
## Standardized standard error: 0.267
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.763 95% CI [0.226,1.3]
## ---------------------------------------
## Degrees of freedom: 42.5
## Standardized standard error: 0.266
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.759 95% CI [0.225,1.293]
## ---------------------------------------
## Degrees of freedom: 43
## Standardized standard error: 0.265
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.755 95% CI [0.224,1.286]
## ---------------------------------------
## Degrees of freedom: 43.5
## Standardized standard error: 0.263
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.751 95% CI [0.223,1.279]
## ---------------------------------------
## Degrees of freedom: 44
## Standardized standard error: 0.262
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.747 95% CI [0.222,1.273]
## ---------------------------------------
## Degrees of freedom: 44.5
## Standardized standard error: 0.261
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.744 95% CI [0.221,1.266]
## ---------------------------------------
## Degrees of freedom: 45
## Standardized standard error: 0.26
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.74 95% CI [0.22,1.26]
## ---------------------------------------
## Degrees of freedom: 45.5
## Standardized standard error: 0.258
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.736 95% CI [0.218,1.254]
## ---------------------------------------
## Degrees of freedom: 46
## Standardized standard error: 0.257
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.732 95% CI [0.217,1.248]
## ---------------------------------------
## Degrees of freedom: 46.5
## Standardized standard error: 0.256
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.729 95% CI [0.216,1.241]
## ---------------------------------------
## Degrees of freedom: 47
## Standardized standard error: 0.255
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.725 95% CI [0.215,1.235]
## ---------------------------------------
## Degrees of freedom: 47.5
## Standardized standard error: 0.254
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.722 95% CI [0.214,1.23]
## ---------------------------------------
## Degrees of freedom: 48
## Standardized standard error: 0.252
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.719 95% CI [0.213,1.224]
## ---------------------------------------
## Degrees of freedom: 48.5
## Standardized standard error: 0.251
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.715 95% CI [0.212,1.218]
## ---------------------------------------
## Degrees of freedom: 49
## Standardized standard error: 0.25
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.712 95% CI [0.211,1.212]
## ---------------------------------------
## Degrees of freedom: 49.5
## Standardized standard error: 0.249
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.709 95% CI [0.21,1.207]
## ---------------------------------------
## Degrees of freedom: 50
## Standardized standard error: 0.248
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.705 95% CI [0.21,1.201]
## ---------------------------------------
## Degrees of freedom: 50.5
## Standardized standard error: 0.247
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.702 95% CI [0.209,1.196]
## ---------------------------------------
## Degrees of freedom: 51
## Standardized standard error: 0.246
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.699 95% CI [0.208,1.19]
## ---------------------------------------
## Degrees of freedom: 51.5
## Standardized standard error: 0.245
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.696 95% CI [0.207,1.185]
## ---------------------------------------
## Degrees of freedom: 52
## Standardized standard error: 0.244
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.693 95% CI [0.206,1.18]
## ---------------------------------------
## Degrees of freedom: 52.5
## Standardized standard error: 0.243
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.69 95% CI [0.205,1.175]
## ---------------------------------------
## Degrees of freedom: 53
## Standardized standard error: 0.242
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.687 95% CI [0.204,1.17]
## ---------------------------------------
## Degrees of freedom: 53.5
## Standardized standard error: 0.241
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.684 95% CI [0.203,1.165]
## ---------------------------------------
## Degrees of freedom: 54
## Standardized standard error: 0.24
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.681 95% CI [0.203,1.16]
## ---------------------------------------
## Degrees of freedom: 54.5
## Standardized standard error: 0.239
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.678 95% CI [0.202,1.155]
## ---------------------------------------
## Degrees of freedom: 55
## Standardized standard error: 0.238
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.675 95% CI [0.201,1.15]
## ---------------------------------------
## Degrees of freedom: 55.5
## Standardized standard error: 0.237
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.673 95% CI [0.2,1.145]
## ---------------------------------------
## Degrees of freedom: 56
## Standardized standard error: 0.236
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.67 95% CI [0.199,1.14]
## ---------------------------------------
## Degrees of freedom: 56.5
## Standardized standard error: 0.235
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.667 95% CI [0.198,1.136]
## ---------------------------------------
## Degrees of freedom: 57
## Standardized standard error: 0.234
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.664 95% CI [0.198,1.131]
## ---------------------------------------
## Degrees of freedom: 57.5
## Standardized standard error: 0.233
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.662 95% CI [0.197,1.127]
## ---------------------------------------
## Degrees of freedom: 58
## Standardized standard error: 0.232
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.659 95% CI [0.196,1.122]
## ---------------------------------------
## Degrees of freedom: 58.5
## Standardized standard error: 0.231
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.656 95% CI [0.195,1.118]
## ---------------------------------------
## Degrees of freedom: 59
## Standardized standard error: 0.23
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.654 95% CI [0.195,1.113]
## ---------------------------------------
## Degrees of freedom: 59.5
## Standardized standard error: 0.23
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.651 95% CI [0.194,1.109]
## ---------------------------------------
## Degrees of freedom: 60
## Standardized standard error: 0.229
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.649 95% CI [0.193,1.105]
## ---------------------------------------
## Degrees of freedom: 60.5
## Standardized standard error: 0.228
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.646 95% CI [0.192,1.1]
## ---------------------------------------
## Degrees of freedom: 61
## Standardized standard error: 0.227
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.644 95% CI [0.192,1.096]
## ---------------------------------------
## Degrees of freedom: 61.5
## Standardized standard error: 0.226
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.642 95% CI [0.191,1.092]
## ---------------------------------------
## Degrees of freedom: 62
## Standardized standard error: 0.225
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.639 95% CI [0.19,1.088]
## ---------------------------------------
## Degrees of freedom: 62.5
## Standardized standard error: 0.225
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.637 95% CI [0.19,1.084]
## ---------------------------------------
## Degrees of freedom: 63
## Standardized standard error: 0.224
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.634 95% CI [0.189,1.08]
## ---------------------------------------
## Degrees of freedom: 63.5
## Standardized standard error: 0.223
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.632 95% CI [0.188,1.076]
## ---------------------------------------
## Degrees of freedom: 64
## Standardized standard error: 0.222
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.63 95% CI [0.188,1.072]
## ---------------------------------------
## Degrees of freedom: 64.5
## Standardized standard error: 0.221
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.628 95% CI [0.187,1.068]
## ---------------------------------------
## Degrees of freedom: 65
## Standardized standard error: 0.221
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.625 95% CI [0.186,1.064]
## ---------------------------------------
## Degrees of freedom: 65.5
## Standardized standard error: 0.22
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.623 95% CI [0.186,1.061]
## ---------------------------------------
## Degrees of freedom: 66
## Standardized standard error: 0.219
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.621 95% CI [0.185,1.057]
## ---------------------------------------
## Degrees of freedom: 66.5
## Standardized standard error: 0.218
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.619 95% CI [0.184,1.053]
## ---------------------------------------
## Degrees of freedom: 67
## Standardized standard error: 0.218
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.617 95% CI [0.184,1.049]
## ---------------------------------------
## Degrees of freedom: 67.5
## Standardized standard error: 0.217
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.614 95% CI [0.183,1.046]
## ---------------------------------------
## Degrees of freedom: 68
## Standardized standard error: 0.216
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.612 95% CI [0.182,1.042]
## ---------------------------------------
## Degrees of freedom: 68.5
## Standardized standard error: 0.215
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.61 95% CI [0.182,1.039]
## ---------------------------------------
## Degrees of freedom: 69
## Standardized standard error: 0.215
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.608 95% CI [0.181,1.035]
## ---------------------------------------
## Degrees of freedom: 69.5
## Standardized standard error: 0.214
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.606 95% CI [0.181,1.032]
## ---------------------------------------
## Degrees of freedom: 70
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.604 95% CI [0.18,1.028]
## ---------------------------------------
## Degrees of freedom: 70.5
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.602 95% CI [0.179,1.025]
## ---------------------------------------
## Degrees of freedom: 71
## Standardized standard error: 0.212
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.6 95% CI [0.179,1.021]
## ---------------------------------------
## Degrees of freedom: 71.5
## Standardized standard error: 0.211
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.598 95% CI [0.178,1.018]
## ---------------------------------------
## Degrees of freedom: 72
## Standardized standard error: 0.211
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.596 95% CI [0.178,1.015]
## ---------------------------------------
## Degrees of freedom: 72.5
## Standardized standard error: 0.21
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.594 95% CI [0.177,1.012]
## ---------------------------------------
## Degrees of freedom: 73
## Standardized standard error: 0.209
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.592 95% CI [0.177,1.008]
## ---------------------------------------
## Degrees of freedom: 73.5
## Standardized standard error: 0.209
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.591 95% CI [0.176,1.005]
## ---------------------------------------
## Degrees of freedom: 74
## Standardized standard error: 0.208
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.589 95% CI [0.176,1.002]
## ---------------------------------------
## Degrees of freedom: 74.5
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.587 95% CI [0.175,0.999]
## ---------------------------------------
## Degrees of freedom: 75
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.585 95% CI [0.174,0.996]
## ---------------------------------------
## Degrees of freedom: 75.5
## Standardized standard error: 0.206
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.583 95% CI [0.174,0.992]
## ---------------------------------------
## Degrees of freedom: 76
## Standardized standard error: 0.205
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.581 95% CI [0.173,0.989]
## ---------------------------------------
## Degrees of freedom: 76.5
## Standardized standard error: 0.205
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.58 95% CI [0.173,0.986]
## ---------------------------------------
## Degrees of freedom: 77
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.578 95% CI [0.172,0.983]
## ---------------------------------------
## Degrees of freedom: 77.5
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.576 95% CI [0.172,0.98]
## ---------------------------------------
## Degrees of freedom: 78
## Standardized standard error: 0.203
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.574 95% CI [0.171,0.977]
## ---------------------------------------
## Degrees of freedom: 78.5
## Standardized standard error: 0.202
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.573 95% CI [0.171,0.975]
## ---------------------------------------
## Degrees of freedom: 79
## Standardized standard error: 0.202
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.571 95% CI [0.17,0.972]
## ---------------------------------------
## Degrees of freedom: 79.5
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.569 95% CI [0.17,0.969]
## ---------------------------------------
## Degrees of freedom: 80
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.568 95% CI [0.169,0.966]
## ---------------------------------------
## Degrees of freedom: 80.5
## Standardized standard error: 0.2
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.566 95% CI [0.169,0.963]
## ---------------------------------------
## Degrees of freedom: 81
## Standardized standard error: 0.2
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.564 95% CI [0.168,0.96]
## ---------------------------------------
## Degrees of freedom: 81.5
## Standardized standard error: 0.199
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.563 95% CI [0.168,0.957]
## ---------------------------------------
## Degrees of freedom: 82
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.561 95% CI [0.167,0.955]
## ---------------------------------------
## Degrees of freedom: 82.5
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.559 95% CI [0.167,0.952]
## ---------------------------------------
## Degrees of freedom: 83
## Standardized standard error: 0.197
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.558 95% CI [0.166,0.949]
## ---------------------------------------
## Degrees of freedom: 83.5
## Standardized standard error: 0.197
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.556 95% CI [0.166,0.947]
## ---------------------------------------
## Degrees of freedom: 84
## Standardized standard error: 0.196
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.555 95% CI [0.166,0.944]
## ---------------------------------------
## Degrees of freedom: 84.5
## Standardized standard error: 0.196
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.553 95% CI [0.165,0.941]
## ---------------------------------------
## Degrees of freedom: 85
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.552 95% CI [0.165,0.939]
## ---------------------------------------
## Degrees of freedom: 85.5
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.55 95% CI [0.164,0.936]
## ---------------------------------------
## Degrees of freedom: 86
## Standardized standard error: 0.194
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.549 95% CI [0.164,0.933]
## ---------------------------------------
## Degrees of freedom: 86.5
## Standardized standard error: 0.194
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.547 95% CI [0.163,0.931]
## ---------------------------------------
## Degrees of freedom: 87
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.546 95% CI [0.163,0.928]
## ---------------------------------------
## Degrees of freedom: 87.5
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.544 95% CI [0.162,0.926]
## ---------------------------------------
## Degrees of freedom: 88
## Standardized standard error: 0.192
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.543 95% CI [0.162,0.923]
## ---------------------------------------
## Degrees of freedom: 88.5
## Standardized standard error: 0.192
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.541 95% CI [0.162,0.921]
## ---------------------------------------
## Degrees of freedom: 89
## Standardized standard error: 0.191
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.54 95% CI [0.161,0.918]
## ---------------------------------------
## Degrees of freedom: 89.5
## Standardized standard error: 0.191
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.538 95% CI [0.161,0.916]
## ---------------------------------------
## Degrees of freedom: 90
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.537 95% CI [0.16,0.914]
## ---------------------------------------
## Degrees of freedom: 90.5
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.536 95% CI [0.16,0.911]
## ---------------------------------------
## Degrees of freedom: 91
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.534 95% CI [0.16,0.909]
## ---------------------------------------
## Degrees of freedom: 91.5
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.533 95% CI [0.159,0.907]
## ---------------------------------------
## Degrees of freedom: 92
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.531 95% CI [0.159,0.904]
## ---------------------------------------
## Degrees of freedom: 92.5
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.53 95% CI [0.158,0.902]
## ---------------------------------------
## Degrees of freedom: 93
## Standardized standard error: 0.187
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.529 95% CI [0.158,0.9]
## ---------------------------------------
## Degrees of freedom: 93.5
## Standardized standard error: 0.187
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.527 95% CI [0.157,0.897]
## ---------------------------------------
## Degrees of freedom: 94
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.526 95% CI [0.157,0.895]
## ---------------------------------------
## Degrees of freedom: 94.5
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.525 95% CI [0.157,0.893]
## ---------------------------------------
## Degrees of freedom: 95
## Standardized standard error: 0.185
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.523 95% CI [0.156,0.891]
## ---------------------------------------
## Degrees of freedom: 95.5
## Standardized standard error: 0.185
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.522 95% CI [0.156,0.888]
## ---------------------------------------
## Degrees of freedom: 96
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.521 95% CI [0.156,0.886]
## ---------------------------------------
## Degrees of freedom: 96.5
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.52 95% CI [0.155,0.884]
## ---------------------------------------
## Degrees of freedom: 97
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.518 95% CI [0.155,0.882]
## ---------------------------------------
## Degrees of freedom: 97.5
## Standardized standard error: 0.183
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.517 95% CI [0.154,0.88]
## ---------------------------------------
## Degrees of freedom: 98
## Standardized standard error: 0.183
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.516 95% CI [0.154,0.877]
## ---------------------------------------
## Degrees of freedom: 98.5
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.515 95% CI [0.154,0.875]
## ---------------------------------------
## Degrees of freedom: 99
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.513 95% CI [0.153,0.873]
## ---------------------------------------
## Degrees of freedom: 99.5
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.512 95% CI [0.153,0.871]
## ---------------------------------------
## Degrees of freedom: 100
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.511 95% CI [0.153,0.869]
## ---------------------------------------
## Degrees of freedom: 100.5
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.51 95% CI [0.152,0.867]
## ---------------------------------------
## Degrees of freedom: 101
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.508 95% CI [0.152,0.865]
## ---------------------------------------
## Degrees of freedom: 101.5
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.507 95% CI [0.152,0.863]
## ---------------------------------------
## Degrees of freedom: 102
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.506 95% CI [0.151,0.861]
## ---------------------------------------
## Degrees of freedom: 102.5
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.505 95% CI [0.151,0.859]
## ---------------------------------------
## Degrees of freedom: 103
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.504 95% CI [0.151,0.857]
## ---------------------------------------
## Degrees of freedom: 103.5
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.503 95% CI [0.15,0.855]
## ---------------------------------------
## Degrees of freedom: 104
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.501 95% CI [0.15,0.853]
## ---------------------------------------
## Degrees of freedom: 104.5
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.5 95% CI [0.149,0.851]
## ---------------------------------------
## Degrees of freedom: 105
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.499 95% CI [0.149,0.849]
## ---------------------------------------
## Degrees of freedom: 105.5
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.498 95% CI [0.149,0.847]
## ---------------------------------------
## Degrees of freedom: 106
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.497 95% CI [0.148,0.845]
## ---------------------------------------
## Degrees of freedom: 106.5
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.496 95% CI [0.148,0.843]
## ---------------------------------------
## Degrees of freedom: 107
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.495 95% CI [0.148,0.841]
## ---------------------------------------
## Degrees of freedom: 107.5
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.494 95% CI [0.148,0.84]
## ---------------------------------------
## Degrees of freedom: 108
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.492 95% CI [0.147,0.838]
## ---------------------------------------
## Degrees of freedom: 108.5
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.491 95% CI [0.147,0.836]
## ---------------------------------------
## Degrees of freedom: 109
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.49 95% CI [0.147,0.834]
## ---------------------------------------
## Degrees of freedom: 109.5
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.489 95% CI [0.146,0.832]
## ---------------------------------------
## Degrees of freedom: 110
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.488 95% CI [0.146,0.83]
## ---------------------------------------
## Degrees of freedom: 110.5
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.487 95% CI [0.146,0.829]
## ---------------------------------------
## Degrees of freedom: 111
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.486 95% CI [0.145,0.827]
## ---------------------------------------
## Degrees of freedom: 111.5
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.485 95% CI [0.145,0.825]
## ---------------------------------------
## Degrees of freedom: 112
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.484 95% CI [0.145,0.823]
## ---------------------------------------
## Degrees of freedom: 112.5
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.483 95% CI [0.144,0.822]
## ---------------------------------------
## Degrees of freedom: 113
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.482 95% CI [0.144,0.82]
## ---------------------------------------
## Degrees of freedom: 113.5
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.481 95% CI [0.144,0.818]
## ---------------------------------------
## Degrees of freedom: 114
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.48 95% CI [0.143,0.816]
## ---------------------------------------
## Degrees of freedom: 114.5
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.479 95% CI [0.143,0.815]
## ---------------------------------------
## Degrees of freedom: 115
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.478 95% CI [0.143,0.813]
## ---------------------------------------
## Degrees of freedom: 115.5
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.477 95% CI [0.143,0.811]
## ---------------------------------------
## Degrees of freedom: 116
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.476 95% CI [0.142,0.81]
## ---------------------------------------
## Degrees of freedom: 116.5
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.475 95% CI [0.142,0.808]
## ---------------------------------------
## Degrees of freedom: 117
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.474 95% CI [0.142,0.806]
## ---------------------------------------
## Degrees of freedom: 117.5
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.473 95% CI [0.141,0.805]
## ---------------------------------------
## Degrees of freedom: 118
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.472 95% CI [0.141,0.803]
## ---------------------------------------
## Degrees of freedom: 118.5
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.471 95% CI [0.141,0.801]
## ---------------------------------------
## Degrees of freedom: 119
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.47 95% CI [0.141,0.8]
## ---------------------------------------
## Degrees of freedom: 119.5
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.469 95% CI [0.14,0.798]
## ---------------------------------------
## Degrees of freedom: 120
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.468 95% CI [0.14,0.797]
## ---------------------------------------
## Degrees of freedom: 120.5
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.467 95% CI [0.14,0.795]
## ---------------------------------------
## Degrees of freedom: 121
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.466 95% CI [0.139,0.793]
## ---------------------------------------
## Degrees of freedom: 121.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.466 95% CI [0.139,0.792]
## ---------------------------------------
## Degrees of freedom: 122
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.465 95% CI [0.139,0.79]
## ---------------------------------------
## Degrees of freedom: 122.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.464 95% CI [0.139,0.789]
## ---------------------------------------
## Degrees of freedom: 123
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.463 95% CI [0.138,0.787]
## ---------------------------------------
## Degrees of freedom: 123.5
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.462 95% CI [0.138,0.786]
## ---------------------------------------
## Degrees of freedom: 124
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.461 95% CI [0.138,0.784]
## ---------------------------------------
## Degrees of freedom: 124.5
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.46 95% CI [0.138,0.783]
## ---------------------------------------
## Degrees of freedom: 125
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.459 95% CI [0.137,0.781]
## ---------------------------------------
## Degrees of freedom: 125.5
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.458 95% CI [0.137,0.78]
## ---------------------------------------
## Degrees of freedom: 126
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.457 95% CI [0.137,0.778]
## ---------------------------------------
## Degrees of freedom: 126.5
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.457 95% CI [0.137,0.777]
## ---------------------------------------
## Degrees of freedom: 127
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.456 95% CI [0.136,0.775]
## ---------------------------------------
## Degrees of freedom: 127.5
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.455 95% CI [0.136,0.774]
## ---------------------------------------
## Degrees of freedom: 128
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.454 95% CI [0.136,0.772]
## ---------------------------------------
## Degrees of freedom: 128.5
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.453 95% CI [0.136,0.771]
## ---------------------------------------
## Degrees of freedom: 129
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.452 95% CI [0.135,0.769]
## ---------------------------------------
## Degrees of freedom: 129.5
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.452 95% CI [0.135,0.768]
## ---------------------------------------
## Degrees of freedom: 130
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.451 95% CI [0.135,0.767]
## ---------------------------------------
## Degrees of freedom: 130.5
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.45 95% CI [0.135,0.765]
## ---------------------------------------
## Degrees of freedom: 131
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.449 95% CI [0.134,0.764]
## ---------------------------------------
## Degrees of freedom: 131.5
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.448 95% CI [0.134,0.762]
## ---------------------------------------
## Degrees of freedom: 132
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.447 95% CI [0.134,0.761]
## ---------------------------------------
## Degrees of freedom: 132.5
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.447 95% CI [0.134,0.76]
## ---------------------------------------
## Degrees of freedom: 133
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.446 95% CI [0.133,0.758]
## ---------------------------------------
## Degrees of freedom: 133.5
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.445 95% CI [0.133,0.757]
## ---------------------------------------
## Degrees of freedom: 134
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.444 95% CI [0.133,0.755]
## ---------------------------------------
## Degrees of freedom: 134.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.443 95% CI [0.133,0.754]
## ---------------------------------------
## Degrees of freedom: 135
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.443 95% CI [0.132,0.753]
## ---------------------------------------
## Degrees of freedom: 135.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.442 95% CI [0.132,0.751]
## ---------------------------------------
## Degrees of freedom: 136
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.441 95% CI [0.132,0.75]
## ---------------------------------------
## Degrees of freedom: 136.5
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.44 95% CI [0.132,0.749]
## ---------------------------------------
## Degrees of freedom: 137
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.439 95% CI [0.131,0.747]
## ---------------------------------------
## Degrees of freedom: 137.5
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.439 95% CI [0.131,0.746]
## ---------------------------------------
## Degrees of freedom: 138
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.438 95% CI [0.131,0.745]
## ---------------------------------------
## Degrees of freedom: 138.5
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.437 95% CI [0.131,0.744]
## ---------------------------------------
## Degrees of freedom: 139
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.436 95% CI [0.131,0.742]
## ---------------------------------------
## Degrees of freedom: 139.5
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.436 95% CI [0.13,0.741]
## ---------------------------------------
## Degrees of freedom: 140
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.435 95% CI [0.13,0.74]
## ---------------------------------------
## Degrees of freedom: 140.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.434 95% CI [0.13,0.738]
## ---------------------------------------
## Degrees of freedom: 141
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.433 95% CI [0.13,0.737]
## ---------------------------------------
## Degrees of freedom: 141.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.433 95% CI [0.129,0.736]
## ---------------------------------------
## Degrees of freedom: 142
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.432 95% CI [0.129,0.735]
## ---------------------------------------
## Degrees of freedom: 142.5
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.431 95% CI [0.129,0.733]
## ---------------------------------------
## Degrees of freedom: 143
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.43 95% CI [0.129,0.732]
## ---------------------------------------
## Degrees of freedom: 143.5
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.43 95% CI [0.129,0.731]
## ---------------------------------------
## Degrees of freedom: 144
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.429 95% CI [0.128,0.73]
## ---------------------------------------
## Degrees of freedom: 144.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.428 95% CI [0.128,0.728]
## ---------------------------------------
## Degrees of freedom: 145
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.428 95% CI [0.128,0.727]
## ---------------------------------------
## Degrees of freedom: 145.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.427 95% CI [0.128,0.726]
## ---------------------------------------
## Degrees of freedom: 146
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.426 95% CI [0.128,0.725]
## ---------------------------------------
## Degrees of freedom: 146.5
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.425 95% CI [0.127,0.724]
## ---------------------------------------
## Degrees of freedom: 147
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.425 95% CI [0.127,0.722]
## ---------------------------------------
## Degrees of freedom: 147.5
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.424 95% CI [0.127,0.721]
## ---------------------------------------
## Degrees of freedom: 148
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.423 95% CI [0.127,0.72]
## ---------------------------------------
## Degrees of freedom: 148.5
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.423 95% CI [0.127,0.719]
## ---------------------------------------
## Degrees of freedom: 149
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.422 95% CI [0.126,0.718]
## ---------------------------------------
## Degrees of freedom: 149.5
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.421 95% CI [0.126,0.717]
## ---------------------------------------
## Degrees of freedom: 150
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.421 95% CI [0.126,0.715]
## ---------------------------------------
## Degrees of freedom: 150.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.42 95% CI [0.126,0.714]
## ---------------------------------------
## Degrees of freedom: 151
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.419 95% CI [0.126,0.713]
## ---------------------------------------
## Degrees of freedom: 151.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.419 95% CI [0.125,0.712]
## ---------------------------------------
## Degrees of freedom: 152
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.418 95% CI [0.125,0.711]
## ---------------------------------------
## Degrees of freedom: 152.5
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.417 95% CI [0.125,0.71]
## ---------------------------------------
## Degrees of freedom: 153
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.417 95% CI [0.125,0.709]
## ---------------------------------------
## Degrees of freedom: 153.5
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.416 95% CI [0.125,0.707]
## ---------------------------------------
## Degrees of freedom: 154
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.415 95% CI [0.124,0.706]
## ---------------------------------------
## Degrees of freedom: 154.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.415 95% CI [0.124,0.705]
## ---------------------------------------
## Degrees of freedom: 155
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.414 95% CI [0.124,0.704]
## ---------------------------------------
## Degrees of freedom: 155.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.413 95% CI [0.124,0.703]
## ---------------------------------------
## Degrees of freedom: 156
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.413 95% CI [0.124,0.702]
## ---------------------------------------
## Degrees of freedom: 156.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.412 95% CI [0.123,0.701]
## ---------------------------------------
## Degrees of freedom: 157
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.411 95% CI [0.123,0.7]
## ---------------------------------------
## Degrees of freedom: 157.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.411 95% CI [0.123,0.699]
## ---------------------------------------
## Degrees of freedom: 158
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.41 95% CI [0.123,0.698]
## ---------------------------------------
## Degrees of freedom: 158.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.41 95% CI [0.123,0.697]
## ---------------------------------------
## Degrees of freedom: 159
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.409 95% CI [0.122,0.696]
## ---------------------------------------
## Degrees of freedom: 159.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.408 95% CI [0.122,0.694]
## ---------------------------------------
## Degrees of freedom: 160
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.408 95% CI [0.122,0.693]
## ---------------------------------------
## Degrees of freedom: 160.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.407 95% CI [0.122,0.692]
## ---------------------------------------
## Degrees of freedom: 161
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.407 95% CI [0.122,0.691]
## ---------------------------------------
## Degrees of freedom: 161.5
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.406 95% CI [0.122,0.69]
## ---------------------------------------
## Degrees of freedom: 162
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.405 95% CI [0.121,0.689]
## ---------------------------------------
## Degrees of freedom: 162.5
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.405 95% CI [0.121,0.688]
## ---------------------------------------
## Degrees of freedom: 163
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.404 95% CI [0.121,0.687]
## ---------------------------------------
## Degrees of freedom: 163.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.403 95% CI [0.121,0.686]
## ---------------------------------------
## Degrees of freedom: 164
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.403 95% CI [0.121,0.685]
## ---------------------------------------
## Degrees of freedom: 164.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.402 95% CI [0.12,0.684]
## ---------------------------------------
## Degrees of freedom: 165
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.402 95% CI [0.12,0.683]
## ---------------------------------------
## Degrees of freedom: 165.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.401 95% CI [0.12,0.682]
## ---------------------------------------
## Degrees of freedom: 166
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.401 95% CI [0.12,0.681]
## ---------------------------------------
## Degrees of freedom: 166.5
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.4 95% CI [0.12,0.68]
## ---------------------------------------
## Degrees of freedom: 167
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.399 95% CI [0.12,0.679]
## ---------------------------------------
## Degrees of freedom: 167.5
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.399 95% CI [0.119,0.678]
## ---------------------------------------
## Degrees of freedom: 168
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.398 95% CI [0.119,0.677]
## ---------------------------------------
## Degrees of freedom: 168.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.398 95% CI [0.119,0.676]
## ---------------------------------------
## Degrees of freedom: 169
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.397 95% CI [0.119,0.675]
## ---------------------------------------
## Degrees of freedom: 169.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.397 95% CI [0.119,0.674]
## ---------------------------------------
## Degrees of freedom: 170
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.396 95% CI [0.119,0.673]
## ---------------------------------------
## Degrees of freedom: 170.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.395 95% CI [0.118,0.672]
## ---------------------------------------
## Degrees of freedom: 171
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.395 95% CI [0.118,0.671]
## ---------------------------------------
## Degrees of freedom: 171.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.394 95% CI [0.118,0.67]
## ---------------------------------------
## Degrees of freedom: 172
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.394 95% CI [0.118,0.67]
## ---------------------------------------
## Degrees of freedom: 172.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.393 95% CI [0.118,0.669]
## ---------------------------------------
## Degrees of freedom: 173
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.393 95% CI [0.118,0.668]
## ---------------------------------------
## Degrees of freedom: 173.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.392 95% CI [0.117,0.667]
## ---------------------------------------
## Degrees of freedom: 174
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.392 95% CI [0.117,0.666]
## ---------------------------------------
## Degrees of freedom: 174.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.391 95% CI [0.117,0.665]
## ---------------------------------------
## Degrees of freedom: 175
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.39 95% CI [0.117,0.664]
## ---------------------------------------
## Degrees of freedom: 175.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.39 95% CI [0.117,0.663]
## ---------------------------------------
## Degrees of freedom: 176
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.389 95% CI [0.117,0.662]
## ---------------------------------------
## Degrees of freedom: 176.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.389 95% CI [0.116,0.661]
## ---------------------------------------
## Degrees of freedom: 177
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.388 95% CI [0.116,0.66]
## ---------------------------------------
## Degrees of freedom: 177.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.388 95% CI [0.116,0.659]
## ---------------------------------------
## Degrees of freedom: 178
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.387 95% CI [0.116,0.658]
## ---------------------------------------
## Degrees of freedom: 178.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.387 95% CI [0.116,0.658]
## ---------------------------------------
## Degrees of freedom: 179
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.386 95% CI [0.116,0.657]
## ---------------------------------------
## Degrees of freedom: 179.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.386 95% CI [0.115,0.656]
## ---------------------------------------
## Degrees of freedom: 180
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.385 95% CI [0.115,0.655]
## ---------------------------------------
## Degrees of freedom: 180.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.385 95% CI [0.115,0.654]
## ---------------------------------------
## Degrees of freedom: 181
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.384 95% CI [0.115,0.653]
## ---------------------------------------
## Degrees of freedom: 181.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.384 95% CI [0.115,0.652]
## ---------------------------------------
## Degrees of freedom: 182
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.383 95% CI [0.115,0.651]
## ---------------------------------------
## Degrees of freedom: 182.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.383 95% CI [0.115,0.651]
## ---------------------------------------
## Degrees of freedom: 183
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.382 95% CI [0.114,0.65]
## ---------------------------------------
## Degrees of freedom: 183.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.382 95% CI [0.114,0.649]
## ---------------------------------------
## Degrees of freedom: 184
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.381 95% CI [0.114,0.648]
## ---------------------------------------
## Degrees of freedom: 184.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.381 95% CI [0.114,0.647]
## ---------------------------------------
## Degrees of freedom: 185
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.38 95% CI [0.114,0.646]
## ---------------------------------------
## Degrees of freedom: 185.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.38 95% CI [0.114,0.645]
## ---------------------------------------
## Degrees of freedom: 186
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.379 95% CI [0.114,0.645]
## ---------------------------------------
## Degrees of freedom: 186.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.379 95% CI [0.113,0.644]
## ---------------------------------------
## Degrees of freedom: 187
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.378 95% CI [0.113,0.643]
## ---------------------------------------
## Degrees of freedom: 187.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.378 95% CI [0.113,0.642]
## ---------------------------------------
## Degrees of freedom: 188
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.377 95% CI [0.113,0.641]
## ---------------------------------------
## Degrees of freedom: 188.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.377 95% CI [0.113,0.64]
## ---------------------------------------
## Degrees of freedom: 189
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.376 95% CI [0.113,0.64]
## ---------------------------------------
## Degrees of freedom: 189.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.376 95% CI [0.113,0.639]
## ---------------------------------------
## Degrees of freedom: 190
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.375 95% CI [0.112,0.638]
## ---------------------------------------
## Degrees of freedom: 190.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.375 95% CI [0.112,0.637]
## ---------------------------------------
## Degrees of freedom: 191
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.374 95% CI [0.112,0.636]
## ---------------------------------------
## Degrees of freedom: 191.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.374 95% CI [0.112,0.635]
## ---------------------------------------
## Degrees of freedom: 192
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.373 95% CI [0.112,0.635]
## ---------------------------------------
## Degrees of freedom: 192.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.373 95% CI [0.112,0.634]
## ---------------------------------------
## Degrees of freedom: 193
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.372 95% CI [0.112,0.633]
## ---------------------------------------
## Degrees of freedom: 193.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.372 95% CI [0.111,0.632]
## ---------------------------------------
## Degrees of freedom: 194
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.371 95% CI [0.111,0.631]
## ---------------------------------------
## Degrees of freedom: 194.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.371 95% CI [0.111,0.631]
## ---------------------------------------
## Degrees of freedom: 195
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.37 95% CI [0.111,0.63]
## ---------------------------------------
## Degrees of freedom: 195.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.37 95% CI [0.111,0.629]
## ---------------------------------------
## Degrees of freedom: 196
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.37 95% CI [0.111,0.628]
## ---------------------------------------
## Degrees of freedom: 196.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.369 95% CI [0.111,0.628]
## ---------------------------------------
## Degrees of freedom: 197
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.369 95% CI [0.11,0.627]
## ---------------------------------------
## Degrees of freedom: 197.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.368 95% CI [0.11,0.626]
## ---------------------------------------
## Degrees of freedom: 198
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.368 95% CI [0.11,0.625]
## ---------------------------------------
## Degrees of freedom: 198.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.367 95% CI [0.11,0.624]
## ---------------------------------------
## Degrees of freedom: 199
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.367 95% CI [0.11,0.624]
## ---------------------------------------
## Degrees of freedom: 199.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.366 95% CI [0.11,0.623]
## ---------------------------------------
## Degrees of freedom: 200
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.366 95% CI [0.11,0.622]
## ---------------------------------------
## Degrees of freedom: 200.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.365 95% CI [0.109,0.621]
## ---------------------------------------
## Degrees of freedom: 201
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.365 95% CI [0.109,0.621]
## ---------------------------------------
## Degrees of freedom: 201.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.365 95% CI [0.109,0.62]
## ---------------------------------------
## Degrees of freedom: 202
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.364 95% CI [0.109,0.619]
## ---------------------------------------
## Degrees of freedom: 202.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.364 95% CI [0.109,0.618]
## ---------------------------------------
## Degrees of freedom: 203
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.363 95% CI [0.109,0.618]
## ---------------------------------------
## Degrees of freedom: 203.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.363 95% CI [0.109,0.617]
## ---------------------------------------
## Degrees of freedom: 204
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.362 95% CI [0.109,0.616]
## ---------------------------------------
## Degrees of freedom: 204.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.362 95% CI [0.108,0.615]
## ---------------------------------------
## Degrees of freedom: 205
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.362 95% CI [0.108,0.615]
## ---------------------------------------
## Degrees of freedom: 205.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.361 95% CI [0.108,0.614]
## ---------------------------------------
## Degrees of freedom: 206
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.361 95% CI [0.108,0.613]
## ---------------------------------------
## Degrees of freedom: 206.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.36 95% CI [0.108,0.613]
## ---------------------------------------
## Degrees of freedom: 207
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.36 95% CI [0.108,0.612]
## ---------------------------------------
## Degrees of freedom: 207.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.359 95% CI [0.108,0.611]
## ---------------------------------------
## Degrees of freedom: 208
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.359 95% CI [0.108,0.61]
## ---------------------------------------
## Degrees of freedom: 208.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.359 95% CI [0.107,0.61]
## ---------------------------------------
## Degrees of freedom: 209
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.358 95% CI [0.107,0.609]
## ---------------------------------------
## Degrees of freedom: 209.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.358 95% CI [0.107,0.608]
## ---------------------------------------
## Degrees of freedom: 210
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.357 95% CI [0.107,0.608]
## ---------------------------------------
## Degrees of freedom: 210.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.357 95% CI [0.107,0.607]
## ---------------------------------------
## Degrees of freedom: 211
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.356 95% CI [0.107,0.606]
## ---------------------------------------
## Degrees of freedom: 211.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.356 95% CI [0.107,0.605]
## ---------------------------------------
## Degrees of freedom: 212
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.356 95% CI [0.107,0.605]
## ---------------------------------------
## Degrees of freedom: 212.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.355 95% CI [0.106,0.604]
## ---------------------------------------
## Degrees of freedom: 213
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.355 95% CI [0.106,0.603]
## ---------------------------------------
## Degrees of freedom: 213.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.354 95% CI [0.106,0.603]
## ---------------------------------------
## Degrees of freedom: 214
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.354 95% CI [0.106,0.602]
## ---------------------------------------
## Degrees of freedom: 214.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.354 95% CI [0.106,0.601]
## ---------------------------------------
## Degrees of freedom: 215
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.353 95% CI [0.106,0.601]
## ---------------------------------------
## Degrees of freedom: 215.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.353 95% CI [0.106,0.6]
## ---------------------------------------
## Degrees of freedom: 216
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.352 95% CI [0.106,0.599]
## ---------------------------------------
## Degrees of freedom: 216.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.352 95% CI [0.105,0.599]
## ---------------------------------------
## Degrees of freedom: 217
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.352 95% CI [0.105,0.598]
## ---------------------------------------
## Degrees of freedom: 217.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.351 95% CI [0.105,0.597]
## ---------------------------------------
## Degrees of freedom: 218
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.351 95% CI [0.105,0.597]
## ---------------------------------------
## Degrees of freedom: 218.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.35 95% CI [0.105,0.596]
## ---------------------------------------
## Degrees of freedom: 219
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.35 95% CI [0.105,0.595]
## ---------------------------------------
## Degrees of freedom: 219.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.35 95% CI [0.105,0.595]
## ---------------------------------------
## Degrees of freedom: 220
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.349 95% CI [0.105,0.594]
## ---------------------------------------
## Degrees of freedom: 220.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.349 95% CI [0.105,0.593]
## ---------------------------------------
## Degrees of freedom: 221
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.349 95% CI [0.104,0.593]
## ---------------------------------------
## Degrees of freedom: 221.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.348 95% CI [0.104,0.592]
## ---------------------------------------
## Degrees of freedom: 222
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.348 95% CI [0.104,0.591]
## ---------------------------------------
## Degrees of freedom: 222.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.347 95% CI [0.104,0.591]
## ---------------------------------------
## Degrees of freedom: 223
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.347 95% CI [0.104,0.59]
## ---------------------------------------
## Degrees of freedom: 223.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.347 95% CI [0.104,0.589]
## ---------------------------------------
## Degrees of freedom: 224
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.346 95% CI [0.104,0.589]
## ---------------------------------------
## Degrees of freedom: 224.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.346 95% CI [0.104,0.588]
## ---------------------------------------
## Degrees of freedom: 225
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.345 95% CI [0.104,0.587]
## ---------------------------------------
## Degrees of freedom: 225.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.345 95% CI [0.103,0.587]
## ---------------------------------------
## Degrees of freedom: 226
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.345 95% CI [0.103,0.586]
## ---------------------------------------
## Degrees of freedom: 226.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.344 95% CI [0.103,0.586]
## ---------------------------------------
## Degrees of freedom: 227
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.344 95% CI [0.103,0.585]
## ---------------------------------------
## Degrees of freedom: 227.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.344 95% CI [0.103,0.584]
## ---------------------------------------
## Degrees of freedom: 228
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.343 95% CI [0.103,0.584]
## ---------------------------------------
## Degrees of freedom: 228.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.343 95% CI [0.103,0.583]
## ---------------------------------------
## Degrees of freedom: 229
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.343 95% CI [0.103,0.582]
## ---------------------------------------
## Degrees of freedom: 229.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.342 95% CI [0.103,0.582]
## ---------------------------------------
## Degrees of freedom: 230
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.342 95% CI [0.102,0.581]
## ---------------------------------------
## Degrees of freedom: 230.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.341 95% CI [0.102,0.581]
## ---------------------------------------
## Degrees of freedom: 231
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.341 95% CI [0.102,0.58]
## ---------------------------------------
## Degrees of freedom: 231.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.341 95% CI [0.102,0.579]
## ---------------------------------------
## Degrees of freedom: 232
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.34 95% CI [0.102,0.579]
## ---------------------------------------
## Degrees of freedom: 232.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.34 95% CI [0.102,0.578]
## ---------------------------------------
## Degrees of freedom: 233
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.34 95% CI [0.102,0.577]
## ---------------------------------------
## Degrees of freedom: 233.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.339 95% CI [0.102,0.577]
## ---------------------------------------
## Degrees of freedom: 234
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.339 95% CI [0.102,0.576]
## ---------------------------------------
## Degrees of freedom: 234.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.339 95% CI [0.101,0.576]
## ---------------------------------------
## Degrees of freedom: 235
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.338 95% CI [0.101,0.575]
## ---------------------------------------
## Degrees of freedom: 235.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.338 95% CI [0.101,0.574]
## ---------------------------------------
## Degrees of freedom: 236
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.338 95% CI [0.101,0.574]
## ---------------------------------------
## Degrees of freedom: 236.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.337 95% CI [0.101,0.573]
## ---------------------------------------
## Degrees of freedom: 237
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.337 95% CI [0.101,0.573]
## ---------------------------------------
## Degrees of freedom: 237.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.336 95% CI [0.101,0.572]
## ---------------------------------------
## Degrees of freedom: 238
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.336 95% CI [0.101,0.572]
## ---------------------------------------
## Degrees of freedom: 238.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.336 95% CI [0.101,0.571]
## ---------------------------------------
## Degrees of freedom: 239
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.335 95% CI [0.101,0.57]
## ---------------------------------------
## Degrees of freedom: 239.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.335 95% CI [0.1,0.57]
## ---------------------------------------
## Degrees of freedom: 240
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.335 95% CI [0.1,0.569]
## ---------------------------------------
## Degrees of freedom: 240.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.334 95% CI [0.1,0.569]
## ---------------------------------------
## Degrees of freedom: 241
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.334 95% CI [0.1,0.568]
## ---------------------------------------
## Degrees of freedom: 241.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.334 95% CI [0.1,0.567]
## ---------------------------------------
## Degrees of freedom: 242
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.333 95% CI [0.1,0.567]
## ---------------------------------------
## Degrees of freedom: 242.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.333 95% CI [0.1,0.566]
## ---------------------------------------
## Degrees of freedom: 243
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.333 95% CI [0.1,0.566]
## ---------------------------------------
## Degrees of freedom: 243.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.332 95% CI [0.1,0.565]
## ---------------------------------------
## Degrees of freedom: 244
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.332 95% CI [0.1,0.565]
## ---------------------------------------
## Degrees of freedom: 244.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.332 95% CI [0.099,0.564]
## ---------------------------------------
## Degrees of freedom: 245
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.331 95% CI [0.099,0.563]
## ---------------------------------------
## Degrees of freedom: 245.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.331 95% CI [0.099,0.563]
## ---------------------------------------
## Degrees of freedom: 246
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.331 95% CI [0.099,0.562]
## ---------------------------------------
## Degrees of freedom: 246.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.33 95% CI [0.099,0.562]
## ---------------------------------------
## Degrees of freedom: 247
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.33 95% CI [0.099,0.561]
## ---------------------------------------
## Degrees of freedom: 247.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.33 95% CI [0.099,0.561]
## ---------------------------------------
## Degrees of freedom: 248
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.329 95% CI [0.099,0.56]
## ---------------------------------------
## Degrees of freedom: 248.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.329 95% CI [0.099,0.56]
## ---------------------------------------
## Degrees of freedom: 249
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.329 95% CI [0.099,0.559]
## ---------------------------------------
## Degrees of freedom: 249.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.328 95% CI [0.098,0.558]
## ---------------------------------------
## Degrees of freedom: 250
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.328 95% CI [0.098,0.558]
## ---------------------------------------
## Degrees of freedom: 250.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.328 95% CI [0.098,0.557]
## ---------------------------------------
## Degrees of freedom: 251
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.327 95% CI [0.098,0.557]
## ---------------------------------------
## Degrees of freedom: 251.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.327 95% CI [0.098,0.556]
## ---------------------------------------
## Degrees of freedom: 252
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.327 95% CI [0.098,0.556]
## ---------------------------------------
## Degrees of freedom: 252.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.327 95% CI [0.098,0.555]
## ---------------------------------------
## Degrees of freedom: 253
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.326 95% CI [0.098,0.555]
## ---------------------------------------
## Degrees of freedom: 253.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.326 95% CI [0.098,0.554]
## ---------------------------------------
## Degrees of freedom: 254
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.326 95% CI [0.098,0.554]
## ---------------------------------------
## Degrees of freedom: 254.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.325 95% CI [0.098,0.553]
## ---------------------------------------
## Degrees of freedom: 255
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.325 95% CI [0.097,0.553]
## ---------------------------------------
## Degrees of freedom: 255.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.325 95% CI [0.097,0.552]
## ---------------------------------------
## Degrees of freedom: 256
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.324 95% CI [0.097,0.551]
## ---------------------------------------
## Degrees of freedom: 256.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.324 95% CI [0.097,0.551]
## ---------------------------------------
## Degrees of freedom: 257
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.324 95% CI [0.097,0.55]
## ---------------------------------------
## Degrees of freedom: 257.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.323 95% CI [0.097,0.55]
## ---------------------------------------
## Degrees of freedom: 258
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.323 95% CI [0.097,0.549]
## ---------------------------------------
## Degrees of freedom: 258.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.323 95% CI [0.097,0.549]
## ---------------------------------------
## Degrees of freedom: 259
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.323 95% CI [0.097,0.548]
## ---------------------------------------
## Degrees of freedom: 259.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.322 95% CI [0.097,0.548]
## ---------------------------------------
## Degrees of freedom: 260
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.322 95% CI [0.096,0.547]
## ---------------------------------------
## Degrees of freedom: 260.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.322 95% CI [0.096,0.547]
## ---------------------------------------
## Degrees of freedom: 261
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.321 95% CI [0.096,0.546]
## ---------------------------------------
## Degrees of freedom: 261.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.321 95% CI [0.096,0.546]
## ---------------------------------------
## Degrees of freedom: 262
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.321 95% CI [0.096,0.545]
## ---------------------------------------
## Degrees of freedom: 262.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.32 95% CI [0.096,0.545]
## ---------------------------------------
## Degrees of freedom: 263
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.32 95% CI [0.096,0.544]
## ---------------------------------------
## Degrees of freedom: 263.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.32 95% CI [0.096,0.544]
## ---------------------------------------
## Degrees of freedom: 264
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.096,0.543]
## ---------------------------------------
## Degrees of freedom: 264.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.096,0.543]
## ---------------------------------------
## Degrees of freedom: 265
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.096,0.542]
## ---------------------------------------
## Degrees of freedom: 265.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.319 95% CI [0.096,0.542]
## ---------------------------------------
## Degrees of freedom: 266
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.318 95% CI [0.095,0.541]
## ---------------------------------------
## Degrees of freedom: 266.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.318 95% CI [0.095,0.541]
## ---------------------------------------
## Degrees of freedom: 267
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.318 95% CI [0.095,0.54]
## ---------------------------------------
## Degrees of freedom: 267.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.317 95% CI [0.095,0.54]
## ---------------------------------------
## Degrees of freedom: 268
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.317 95% CI [0.095,0.539]
## ---------------------------------------
## Degrees of freedom: 268.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.317 95% CI [0.095,0.539]
## ---------------------------------------
## Degrees of freedom: 269
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.317 95% CI [0.095,0.538]
## ---------------------------------------
## Degrees of freedom: 269.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.316 95% CI [0.095,0.538]
## ---------------------------------------
## Degrees of freedom: 270
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.316 95% CI [0.095,0.537]
## ---------------------------------------
## Degrees of freedom: 270.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.316 95% CI [0.095,0.537]
## ---------------------------------------
## Degrees of freedom: 271
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.095,0.536]
## ---------------------------------------
## Degrees of freedom: 271.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.094,0.536]
## ---------------------------------------
## Degrees of freedom: 272
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.094,0.535]
## ---------------------------------------
## Degrees of freedom: 272.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.315 95% CI [0.094,0.535]
## ---------------------------------------
## Degrees of freedom: 273
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.314 95% CI [0.094,0.534]
## ---------------------------------------
## Degrees of freedom: 273.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.314 95% CI [0.094,0.534]
## ---------------------------------------
## Degrees of freedom: 274
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.314 95% CI [0.094,0.533]
## ---------------------------------------
## Degrees of freedom: 274.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.094,0.533]
## ---------------------------------------
## Degrees of freedom: 275
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.094,0.532]
## ---------------------------------------
## Degrees of freedom: 275.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.094,0.532]
## ---------------------------------------
## Degrees of freedom: 276
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.313 95% CI [0.094,0.532]
## ---------------------------------------
## Degrees of freedom: 276.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.094,0.531]
## ---------------------------------------
## Degrees of freedom: 277
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.094,0.531]
## ---------------------------------------
## Degrees of freedom: 277.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.093,0.53]
## ---------------------------------------
## Degrees of freedom: 278
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.312 95% CI [0.093,0.53]
## ---------------------------------------
## Degrees of freedom: 278.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.311 95% CI [0.093,0.529]
## ---------------------------------------
## Degrees of freedom: 279
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.311 95% CI [0.093,0.529]
## ---------------------------------------
## Degrees of freedom: 279.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.311 95% CI [0.093,0.528]
## ---------------------------------------
## Degrees of freedom: 280
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.31 95% CI [0.093,0.528]
## ---------------------------------------
## Degrees of freedom: 280.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.31 95% CI [0.093,0.527]
## ---------------------------------------
## Degrees of freedom: 281
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.31 95% CI [0.093,0.527]
## ---------------------------------------
## Degrees of freedom: 281.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.31 95% CI [0.093,0.526]
## ---------------------------------------
## Degrees of freedom: 282
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.093,0.526]
## ---------------------------------------
## Degrees of freedom: 282.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.093,0.525]
## ---------------------------------------
## Degrees of freedom: 283
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.093,0.525]
## ---------------------------------------
## Degrees of freedom: 283.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.309 95% CI [0.093,0.525]
## ---------------------------------------
## Degrees of freedom: 284
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.308 95% CI [0.092,0.524]
## ---------------------------------------
## Degrees of freedom: 284.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.308 95% CI [0.092,0.524]
## ---------------------------------------
## Degrees of freedom: 285
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.308 95% CI [0.092,0.523]
## ---------------------------------------
## Degrees of freedom: 285.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.092,0.523]
## ---------------------------------------
## Degrees of freedom: 286
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.092,0.522]
## ---------------------------------------
## Degrees of freedom: 286.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.092,0.522]
## ---------------------------------------
## Degrees of freedom: 287
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.307 95% CI [0.092,0.521]
## ---------------------------------------
## Degrees of freedom: 287.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.092,0.521]
## ---------------------------------------
## Degrees of freedom: 288
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.092,0.521]
## ---------------------------------------
## Degrees of freedom: 288.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.092,0.52]
## ---------------------------------------
## Degrees of freedom: 289
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.306 95% CI [0.092,0.52]
## ---------------------------------------
## Degrees of freedom: 289.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.305 95% CI [0.092,0.519]
## ---------------------------------------
## Degrees of freedom: 290
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.305 95% CI [0.091,0.519]
## ---------------------------------------
## Degrees of freedom: 290.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.305 95% CI [0.091,0.518]
## ---------------------------------------
## Degrees of freedom: 291
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.305 95% CI [0.091,0.518]
## ---------------------------------------
## Degrees of freedom: 291.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.517]
## ---------------------------------------
## Degrees of freedom: 292
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.517]
## ---------------------------------------
## Degrees of freedom: 292.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.517]
## ---------------------------------------
## Degrees of freedom: 293
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.304 95% CI [0.091,0.516]
## ---------------------------------------
## Degrees of freedom: 293.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.091,0.516]
## ---------------------------------------
## Degrees of freedom: 294
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.091,0.515]
## ---------------------------------------
## Degrees of freedom: 294.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.091,0.515]
## ---------------------------------------
## Degrees of freedom: 295
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.303 95% CI [0.091,0.514]
## ---------------------------------------
## Degrees of freedom: 295.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.091,0.514]
## ---------------------------------------
## Degrees of freedom: 296
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.091,0.514]
## ---------------------------------------
## Degrees of freedom: 296.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.091,0.513]
## ---------------------------------------
## Degrees of freedom: 297
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.302 95% CI [0.09,0.513]
## ---------------------------------------
## Degrees of freedom: 297.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.512]
## ---------------------------------------
## Degrees of freedom: 298
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.512]
## ---------------------------------------
## Degrees of freedom: 298.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.511]
## ---------------------------------------
## Degrees of freedom: 299
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.301 95% CI [0.09,0.511]
## ---------------------------------------
## Degrees of freedom: 299.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.511]
## ---------------------------------------
## Degrees of freedom: 300
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.51]
## ---------------------------------------
## Degrees of freedom: 300.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.51]
## ---------------------------------------
## Degrees of freedom: 301
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.3 95% CI [0.09,0.509]
## ---------------------------------------
## Degrees of freedom: 301.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.299 95% CI [0.09,0.509]
## ---------------------------------------
## Degrees of freedom: 302
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.299 95% CI [0.09,0.509]
## ---------------------------------------
## Degrees of freedom: 302.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.299 95% CI [0.09,0.508]
## ---------------------------------------
## Degrees of freedom: 303
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.299 95% CI [0.09,0.508]
## ---------------------------------------
## Degrees of freedom: 303.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.507]
## ---------------------------------------
## Degrees of freedom: 304
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.507]
## ---------------------------------------
## Degrees of freedom: 304.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.506]
## ---------------------------------------
## Degrees of freedom: 305
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.298 95% CI [0.089,0.506]
## ---------------------------------------
## Degrees of freedom: 305.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.506]
## ---------------------------------------
## Degrees of freedom: 306
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.505]
## ---------------------------------------
## Degrees of freedom: 306.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.505]
## ---------------------------------------
## Degrees of freedom: 307
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.297 95% CI [0.089,0.504]
## ---------------------------------------
## Degrees of freedom: 307.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.504]
## ---------------------------------------
## Degrees of freedom: 308
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.504]
## ---------------------------------------
## Degrees of freedom: 308.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.503]
## ---------------------------------------
## Degrees of freedom: 309
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.503]
## ---------------------------------------
## Degrees of freedom: 309.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.296 95% CI [0.089,0.502]
## ---------------------------------------
## Degrees of freedom: 310
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.089,0.502]
## ---------------------------------------
## Degrees of freedom: 310.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.088,0.502]
## ---------------------------------------
## Degrees of freedom: 311
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.088,0.501]
## ---------------------------------------
## Degrees of freedom: 311.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.295 95% CI [0.088,0.501]
## ---------------------------------------
## Degrees of freedom: 312
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.5]
## ---------------------------------------
## Degrees of freedom: 312.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.5]
## ---------------------------------------
## Degrees of freedom: 313
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.5]
## ---------------------------------------
## Degrees of freedom: 313.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.294 95% CI [0.088,0.499]
## ---------------------------------------
## Degrees of freedom: 314
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.499]
## ---------------------------------------
## Degrees of freedom: 314.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.498]
## ---------------------------------------
## Degrees of freedom: 315
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.498]
## ---------------------------------------
## Degrees of freedom: 315.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.498]
## ---------------------------------------
## Degrees of freedom: 316
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.293 95% CI [0.088,0.497]
## ---------------------------------------
## Degrees of freedom: 316.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.088,0.497]
## ---------------------------------------
## Degrees of freedom: 317
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.088,0.497]
## ---------------------------------------
## Degrees of freedom: 317.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.088,0.496]
## ---------------------------------------
## Degrees of freedom: 318
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.292 95% CI [0.087,0.496]
## ---------------------------------------
## Degrees of freedom: 318.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.495]
## ---------------------------------------
## Degrees of freedom: 319
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.495]
## ---------------------------------------
## Degrees of freedom: 319.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.495]
## ---------------------------------------
## Degrees of freedom: 320
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.291 95% CI [0.087,0.494]
## ---------------------------------------
## Degrees of freedom: 320.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.494]
## ---------------------------------------
## Degrees of freedom: 321
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.493]
## ---------------------------------------
## Degrees of freedom: 321.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.493]
## ---------------------------------------
## Degrees of freedom: 322
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.493]
## ---------------------------------------
## Degrees of freedom: 322.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.29 95% CI [0.087,0.492]
## ---------------------------------------
## Degrees of freedom: 323
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.492]
## ---------------------------------------
## Degrees of freedom: 323.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.492]
## ---------------------------------------
## Degrees of freedom: 324
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.491]
## ---------------------------------------
## Degrees of freedom: 324.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.491]
## ---------------------------------------
## Degrees of freedom: 325
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.289 95% CI [0.087,0.49]
## ---------------------------------------
## Degrees of freedom: 325.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.49]
## ---------------------------------------
## Degrees of freedom: 326
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.49]
## ---------------------------------------
## Degrees of freedom: 326.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.489]
## ---------------------------------------
## Degrees of freedom: 327
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.288 95% CI [0.086,0.489]
## ---------------------------------------
## Degrees of freedom: 327.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.489]
## ---------------------------------------
## Degrees of freedom: 328
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.488]
## ---------------------------------------
## Degrees of freedom: 328.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.488]
## ---------------------------------------
## Degrees of freedom: 329
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.488]
## ---------------------------------------
## Degrees of freedom: 329.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.287 95% CI [0.086,0.487]
## ---------------------------------------
## Degrees of freedom: 330
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.086,0.487]
## ---------------------------------------
## Degrees of freedom: 330.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.086,0.486]
## ---------------------------------------
## Degrees of freedom: 331
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.086,0.486]
## ---------------------------------------
## Degrees of freedom: 331.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.286 95% CI [0.086,0.486]
## ---------------------------------------
## Degrees of freedom: 332
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.086,0.485]
## ---------------------------------------
## Degrees of freedom: 332.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.086,0.485]
## ---------------------------------------
## Degrees of freedom: 333
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.485]
## ---------------------------------------
## Degrees of freedom: 333.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.484]
## ---------------------------------------
## Degrees of freedom: 334
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.285 95% CI [0.085,0.484]
## ---------------------------------------
## Degrees of freedom: 334.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.484]
## ---------------------------------------
## Degrees of freedom: 335
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.483]
## ---------------------------------------
## Degrees of freedom: 335.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.483]
## ---------------------------------------
## Degrees of freedom: 336
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.483]
## ---------------------------------------
## Degrees of freedom: 336.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.284 95% CI [0.085,0.482]
## ---------------------------------------
## Degrees of freedom: 337
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.482]
## ---------------------------------------
## Degrees of freedom: 337.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.481]
## ---------------------------------------
## Degrees of freedom: 338
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.481]
## ---------------------------------------
## Degrees of freedom: 338.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.481]
## ---------------------------------------
## Degrees of freedom: 339
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.283 95% CI [0.085,0.48]
## ---------------------------------------
## Degrees of freedom: 339.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.085,0.48]
## ---------------------------------------
## Degrees of freedom: 340
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.085,0.48]
## ---------------------------------------
## Degrees of freedom: 340.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.085,0.479]
## ---------------------------------------
## Degrees of freedom: 341
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.085,0.479]
## ---------------------------------------
## Degrees of freedom: 341.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.282 95% CI [0.084,0.479]
## ---------------------------------------
## Degrees of freedom: 342
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.478]
## ---------------------------------------
## Degrees of freedom: 342.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.478]
## ---------------------------------------
## Degrees of freedom: 343
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.478]
## ---------------------------------------
## Degrees of freedom: 343.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.477]
## ---------------------------------------
## Degrees of freedom: 344
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.281 95% CI [0.084,0.477]
## ---------------------------------------
## Degrees of freedom: 344.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.477]
## ---------------------------------------
## Degrees of freedom: 345
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.476]
## ---------------------------------------
## Degrees of freedom: 345.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.476]
## ---------------------------------------
## Degrees of freedom: 346
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.476]
## ---------------------------------------
## Degrees of freedom: 346.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.28 95% CI [0.084,0.475]
## ---------------------------------------
## Degrees of freedom: 347
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.475]
## ---------------------------------------
## Degrees of freedom: 347.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.475]
## ---------------------------------------
## Degrees of freedom: 348
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.474]
## ---------------------------------------
## Degrees of freedom: 348.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.474]
## ---------------------------------------
## Degrees of freedom: 349
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.279 95% CI [0.084,0.474]
## ---------------------------------------
## Degrees of freedom: 349.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.473]
## ---------------------------------------
## Degrees of freedom: 350
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.473]
## ---------------------------------------
## Degrees of freedom: 350.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.473]
## ---------------------------------------
## Degrees of freedom: 351
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.472]
## ---------------------------------------
## Degrees of freedom: 351.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.278 95% CI [0.083,0.472]
## ---------------------------------------
## Degrees of freedom: 352
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.472]
## ---------------------------------------
## Degrees of freedom: 352.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.471]
## ---------------------------------------
## Degrees of freedom: 353
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.471]
## ---------------------------------------
## Degrees of freedom: 353.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.471]
## ---------------------------------------
## Degrees of freedom: 354
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.277 95% CI [0.083,0.47]
## ---------------------------------------
## Degrees of freedom: 354.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.47]
## ---------------------------------------
## Degrees of freedom: 355
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.47]
## ---------------------------------------
## Degrees of freedom: 355.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.469]
## ---------------------------------------
## Degrees of freedom: 356
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.469]
## ---------------------------------------
## Degrees of freedom: 356.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.276 95% CI [0.083,0.469]
## ---------------------------------------
## Degrees of freedom: 357
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.083,0.468]
## ---------------------------------------
## Degrees of freedom: 357.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.083,0.468]
## ---------------------------------------
## Degrees of freedom: 358
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.083,0.468]
## ---------------------------------------
## Degrees of freedom: 358.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.467]
## ---------------------------------------
## Degrees of freedom: 359
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.467]
## ---------------------------------------
## Degrees of freedom: 359.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.275 95% CI [0.082,0.467]
## ---------------------------------------
## Degrees of freedom: 360
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.466]
## ---------------------------------------
## Degrees of freedom: 360.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.466]
## ---------------------------------------
## Degrees of freedom: 361
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.466]
## ---------------------------------------
## Degrees of freedom: 361.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.465]
## ---------------------------------------
## Degrees of freedom: 362
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.274 95% CI [0.082,0.465]
## ---------------------------------------
## Degrees of freedom: 362.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.465]
## ---------------------------------------
## Degrees of freedom: 363
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.464]
## ---------------------------------------
## Degrees of freedom: 363.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.464]
## ---------------------------------------
## Degrees of freedom: 364
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.464]
## ---------------------------------------
## Degrees of freedom: 364.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.273 95% CI [0.082,0.464]
## ---------------------------------------
## Degrees of freedom: 365
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.082,0.463]
## ---------------------------------------
## Degrees of freedom: 365.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.082,0.463]
## ---------------------------------------
## Degrees of freedom: 366
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.082,0.463]
## ---------------------------------------
## Degrees of freedom: 366.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.082,0.462]
## ---------------------------------------
## Degrees of freedom: 367
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.082,0.462]
## ---------------------------------------
## Degrees of freedom: 367.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.272 95% CI [0.081,0.462]
## ---------------------------------------
## Degrees of freedom: 368
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.461]
## ---------------------------------------
## Degrees of freedom: 368.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.461]
## ---------------------------------------
## Degrees of freedom: 369
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.461]
## ---------------------------------------
## Degrees of freedom: 369.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.46]
## ---------------------------------------
## Degrees of freedom: 370
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.271 95% CI [0.081,0.46]
## ---------------------------------------
## Degrees of freedom: 370.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.46]
## ---------------------------------------
## Degrees of freedom: 371
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.46]
## ---------------------------------------
## Degrees of freedom: 371.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.459]
## ---------------------------------------
## Degrees of freedom: 372
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.459]
## ---------------------------------------
## Degrees of freedom: 372.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.459]
## ---------------------------------------
## Degrees of freedom: 373
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.27 95% CI [0.081,0.458]
## ---------------------------------------
## Degrees of freedom: 373.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.458]
## ---------------------------------------
## Degrees of freedom: 374
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.458]
## ---------------------------------------
## Degrees of freedom: 374.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.457]
## ---------------------------------------
## Degrees of freedom: 375
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.457]
## ---------------------------------------
## Degrees of freedom: 375.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.457]
## ---------------------------------------
## Degrees of freedom: 376
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.269 95% CI [0.081,0.457]
## ---------------------------------------
## Degrees of freedom: 376.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.456]
## ---------------------------------------
## Degrees of freedom: 377
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.456]
## ---------------------------------------
## Degrees of freedom: 377.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.456]
## ---------------------------------------
## Degrees of freedom: 378
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.455]
## ---------------------------------------
## Degrees of freedom: 378.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.268 95% CI [0.08,0.455]
## ---------------------------------------
## Degrees of freedom: 379
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.455]
## ---------------------------------------
## Degrees of freedom: 379.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 380
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 380.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 381
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.454]
## ---------------------------------------
## Degrees of freedom: 381.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.267 95% CI [0.08,0.453]
## ---------------------------------------
## Degrees of freedom: 382
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.453]
## ---------------------------------------
## Degrees of freedom: 382.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.453]
## ---------------------------------------
## Degrees of freedom: 383
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.452]
## ---------------------------------------
## Degrees of freedom: 383.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.452]
## ---------------------------------------
## Degrees of freedom: 384
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.452]
## ---------------------------------------
## Degrees of freedom: 384.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.266 95% CI [0.08,0.452]
## ---------------------------------------
## Degrees of freedom: 385
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.08,0.451]
## ---------------------------------------
## Degrees of freedom: 385.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.08,0.451]
## ---------------------------------------
## Degrees of freedom: 386
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.08,0.451]
## ---------------------------------------
## Degrees of freedom: 386.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.079,0.45]
## ---------------------------------------
## Degrees of freedom: 387
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.079,0.45]
## ---------------------------------------
## Degrees of freedom: 387.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.265 95% CI [0.079,0.45]
## ---------------------------------------
## Degrees of freedom: 388
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.449]
## ---------------------------------------
## Degrees of freedom: 388.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.449]
## ---------------------------------------
## Degrees of freedom: 389
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.449]
## ---------------------------------------
## Degrees of freedom: 389.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.449]
## ---------------------------------------
## Degrees of freedom: 390
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 390.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.264 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 391
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 391.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.448]
## ---------------------------------------
## Degrees of freedom: 392
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.447]
## ---------------------------------------
## Degrees of freedom: 392.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.447]
## ---------------------------------------
## Degrees of freedom: 393
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.447]
## ---------------------------------------
## Degrees of freedom: 393.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.263 95% CI [0.079,0.446]
## ---------------------------------------
## Degrees of freedom: 394
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.446]
## ---------------------------------------
## Degrees of freedom: 394.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.446]
## ---------------------------------------
## Degrees of freedom: 395
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.446]
## ---------------------------------------
## Degrees of freedom: 395.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.445]
## ---------------------------------------
## Degrees of freedom: 396
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.079,0.445]
## ---------------------------------------
## Degrees of freedom: 396.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.262 95% CI [0.078,0.445]
## ---------------------------------------
## Degrees of freedom: 397
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 397.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 398
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 398.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.444]
## ---------------------------------------
## Degrees of freedom: 399
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 399.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.261 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 400
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 400.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.443]
## ---------------------------------------
## Degrees of freedom: 401
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.442]
## ---------------------------------------
## Degrees of freedom: 401.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.442]
## ---------------------------------------
## Degrees of freedom: 402
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.442]
## ---------------------------------------
## Degrees of freedom: 402.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.441]
## ---------------------------------------
## Degrees of freedom: 403
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.26 95% CI [0.078,0.441]
## ---------------------------------------
## Degrees of freedom: 403.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.441]
## ---------------------------------------
## Degrees of freedom: 404
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.441]
## ---------------------------------------
## Degrees of freedom: 404.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.44]
## ---------------------------------------
## Degrees of freedom: 405
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.44]
## ---------------------------------------
## Degrees of freedom: 405.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.44]
## ---------------------------------------
## Degrees of freedom: 406
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.259 95% CI [0.078,0.44]
## ---------------------------------------
## Degrees of freedom: 406.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.078,0.439]
## ---------------------------------------
## Degrees of freedom: 407
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.439]
## ---------------------------------------
## Degrees of freedom: 407.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.439]
## ---------------------------------------
## Degrees of freedom: 408
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 408.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 409
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.258 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 409.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.438]
## ---------------------------------------
## Degrees of freedom: 410
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 410.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 411
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 411.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.437]
## ---------------------------------------
## Degrees of freedom: 412
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.436]
## ---------------------------------------
## Degrees of freedom: 412.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.257 95% CI [0.077,0.436]
## ---------------------------------------
## Degrees of freedom: 413
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.436]
## ---------------------------------------
## Degrees of freedom: 413.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.436]
## ---------------------------------------
## Degrees of freedom: 414
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.435]
## ---------------------------------------
## Degrees of freedom: 414.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.435]
## ---------------------------------------
## Degrees of freedom: 415
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.435]
## ---------------------------------------
## Degrees of freedom: 415.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.256 95% CI [0.077,0.435]
## ---------------------------------------
## Degrees of freedom: 416
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.077,0.434]
## ---------------------------------------
## Degrees of freedom: 416.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.077,0.434]
## ---------------------------------------
## Degrees of freedom: 417
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.077,0.434]
## ---------------------------------------
## Degrees of freedom: 417.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.077,0.434]
## ---------------------------------------
## Degrees of freedom: 418
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 418.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 419
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.255 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 419.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.433]
## ---------------------------------------
## Degrees of freedom: 420
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 420.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 421
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.432]
## ---------------------------------------
## Degrees of freedom: 421.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.431]
## ---------------------------------------
## Degrees of freedom: 422
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.431]
## ---------------------------------------
## Degrees of freedom: 422.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.254 95% CI [0.076,0.431]
## ---------------------------------------
## Degrees of freedom: 423
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.431]
## ---------------------------------------
## Degrees of freedom: 423.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 424
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 424.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 425
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.43]
## ---------------------------------------
## Degrees of freedom: 425.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.253 95% CI [0.076,0.429]
## ---------------------------------------
## Degrees of freedom: 426
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.429]
## ---------------------------------------
## Degrees of freedom: 426.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.429]
## ---------------------------------------
## Degrees of freedom: 427
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.429]
## ---------------------------------------
## Degrees of freedom: 427.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.428]
## ---------------------------------------
## Degrees of freedom: 428
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.428]
## ---------------------------------------
## Degrees of freedom: 428.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.076,0.428]
## ---------------------------------------
## Degrees of freedom: 429
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.252 95% CI [0.075,0.428]
## ---------------------------------------
## Degrees of freedom: 429.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.428]
## ---------------------------------------
## Degrees of freedom: 430
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 430.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 431
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 431.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.427]
## ---------------------------------------
## Degrees of freedom: 432
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 432.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.251 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 433
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 433.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.426]
## ---------------------------------------
## Degrees of freedom: 434
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.425]
## ---------------------------------------
## Degrees of freedom: 434.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.425]
## ---------------------------------------
## Degrees of freedom: 435
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.425]
## ---------------------------------------
## Degrees of freedom: 435.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.425]
## ---------------------------------------
## Degrees of freedom: 436
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.25 95% CI [0.075,0.424]
## ---------------------------------------
## Degrees of freedom: 436.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.424]
## ---------------------------------------
## Degrees of freedom: 437
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.424]
## ---------------------------------------
## Degrees of freedom: 437.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.424]
## ---------------------------------------
## Degrees of freedom: 438
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.423]
## ---------------------------------------
## Degrees of freedom: 438.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.423]
## ---------------------------------------
## Degrees of freedom: 439
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.423]
## ---------------------------------------
## Degrees of freedom: 439.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.249 95% CI [0.075,0.423]
## ---------------------------------------
## Degrees of freedom: 440
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.075,0.422]
## ---------------------------------------
## Degrees of freedom: 440.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.075,0.422]
## ---------------------------------------
## Degrees of freedom: 441
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.422]
## ---------------------------------------
## Degrees of freedom: 441.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.422]
## ---------------------------------------
## Degrees of freedom: 442
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 442.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 443
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 443.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.248 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 444
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.421]
## ---------------------------------------
## Degrees of freedom: 444.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 445
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 445.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 446
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.42]
## ---------------------------------------
## Degrees of freedom: 446.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 447
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.247 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 447.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 448
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.419]
## ---------------------------------------
## Degrees of freedom: 448.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 449
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 449.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 450
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 450.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.246 95% CI [0.074,0.418]
## ---------------------------------------
## Degrees of freedom: 451
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.074,0.417]
## ---------------------------------------
## Degrees of freedom: 451.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.074,0.417]
## ---------------------------------------
## Degrees of freedom: 452
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.074,0.417]
## ---------------------------------------
## Degrees of freedom: 452.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.074,0.417]
## ---------------------------------------
## Degrees of freedom: 453
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.416]
## ---------------------------------------
## Degrees of freedom: 453.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.416]
## ---------------------------------------
## Degrees of freedom: 454
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.416]
## ---------------------------------------
## Degrees of freedom: 454.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.245 95% CI [0.073,0.416]
## ---------------------------------------
## Degrees of freedom: 455
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 455.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 456
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 456.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 457
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.415]
## ---------------------------------------
## Degrees of freedom: 457.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 458
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.244 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 458.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 459
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.414]
## ---------------------------------------
## Degrees of freedom: 459.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 460
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 460.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 461
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 461.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.413]
## ---------------------------------------
## Degrees of freedom: 462
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.243 95% CI [0.073,0.412]
## ---------------------------------------
## Degrees of freedom: 462.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.412]
## ---------------------------------------
## Degrees of freedom: 463
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.412]
## ---------------------------------------
## Degrees of freedom: 463.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.412]
## ---------------------------------------
## Degrees of freedom: 464
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.411]
## ---------------------------------------
## Degrees of freedom: 464.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.411]
## ---------------------------------------
## Degrees of freedom: 465
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.411]
## ---------------------------------------
## Degrees of freedom: 465.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.073,0.411]
## ---------------------------------------
## Degrees of freedom: 466
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.242 95% CI [0.072,0.411]
## ---------------------------------------
## Degrees of freedom: 466.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 467
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 467.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 468
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 468.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.41]
## ---------------------------------------
## Degrees of freedom: 469
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 469.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 470
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.241 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 470.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.409]
## ---------------------------------------
## Degrees of freedom: 471
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 471.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 472
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 472.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 473
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.408]
## ---------------------------------------
## Degrees of freedom: 473.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 474
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.24 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 474.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 475
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 475.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.407]
## ---------------------------------------
## Degrees of freedom: 476
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.406]
## ---------------------------------------
## Degrees of freedom: 476.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.406]
## ---------------------------------------
## Degrees of freedom: 477
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.406]
## ---------------------------------------
## Degrees of freedom: 477.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.406]
## ---------------------------------------
## Degrees of freedom: 478
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.239 95% CI [0.072,0.405]
## ---------------------------------------
## Degrees of freedom: 478.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.072,0.405]
## ---------------------------------------
## Degrees of freedom: 479
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.072,0.405]
## ---------------------------------------
## Degrees of freedom: 479.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.405]
## ---------------------------------------
## Degrees of freedom: 480
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.405]
## ---------------------------------------
## Degrees of freedom: 480.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 481
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 481.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 482
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.238 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 482.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.404]
## ---------------------------------------
## Degrees of freedom: 483
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 483.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 484
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 484.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 485
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.403]
## ---------------------------------------
## Degrees of freedom: 485.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 486
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.237 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 486.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 487
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 487.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.402]
## ---------------------------------------
## Degrees of freedom: 488
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 488.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 489
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 489.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 490
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.401]
## ---------------------------------------
## Degrees of freedom: 490.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.236 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 491
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 491.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 492
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 492.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.071,0.4]
## ---------------------------------------
## Degrees of freedom: 493
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 493.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 494
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 494.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.235 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 495
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.399]
## ---------------------------------------
## Degrees of freedom: 495.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 496
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 496.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 497
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 497.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.398]
## ---------------------------------------
## Degrees of freedom: 498
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 498.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 499
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.234 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 499.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 500
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.397]
## ---------------------------------------
## Degrees of freedom: 500.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 501
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 501.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 502
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 502.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.396]
## ---------------------------------------
## Degrees of freedom: 503
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.233 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 503.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 504
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 504.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 505
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.395]
## ---------------------------------------
## Degrees of freedom: 505.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.394]
## ---------------------------------------
## Degrees of freedom: 506
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.394]
## ---------------------------------------
## Degrees of freedom: 506.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.394]
## ---------------------------------------
## Degrees of freedom: 507
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.07,0.394]
## ---------------------------------------
## Degrees of freedom: 507.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.232 95% CI [0.069,0.394]
## ---------------------------------------
## Degrees of freedom: 508
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 508.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 509
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 509.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 510
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 510.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.393]
## ---------------------------------------
## Degrees of freedom: 511
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 511.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 512
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.231 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 512.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 513
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.392]
## ---------------------------------------
## Degrees of freedom: 513.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 514
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 514.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 515
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 515.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.391]
## ---------------------------------------
## Degrees of freedom: 516
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 516.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.23 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 517
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 517.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 518
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.39]
## ---------------------------------------
## Degrees of freedom: 518.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 519
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 519.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 520
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 520.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 521
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.229 95% CI [0.069,0.389]
## ---------------------------------------
## Degrees of freedom: 521.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.069,0.388]
## ---------------------------------------
## Degrees of freedom: 522
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.069,0.388]
## ---------------------------------------
## Degrees of freedom: 522.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 523
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 523.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.388]
## ---------------------------------------
## Degrees of freedom: 524
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 524.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 525
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 525.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 526
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.228 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 526.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.387]
## ---------------------------------------
## Degrees of freedom: 527
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 527.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 528
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 528.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 529
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.386]
## ---------------------------------------
## Degrees of freedom: 529.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 530
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 530.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.227 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 531
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 531.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 532
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.385]
## ---------------------------------------
## Degrees of freedom: 532.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 533
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 533.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 534
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 534.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.384]
## ---------------------------------------
## Degrees of freedom: 535
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.226 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 535.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 536
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 536.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 537
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 537.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.383]
## ---------------------------------------
## Degrees of freedom: 538
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.068,0.382]
## ---------------------------------------
## Degrees of freedom: 538.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 539
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 539.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 540
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.225 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 540.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.382]
## ---------------------------------------
## Degrees of freedom: 541
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 541.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 542
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 542.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 543
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 543.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.381]
## ---------------------------------------
## Degrees of freedom: 544
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 544.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 545
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.224 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 545.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 546
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.38]
## ---------------------------------------
## Degrees of freedom: 546.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 547
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 547.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 548
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 548.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 549
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.379]
## ---------------------------------------
## Degrees of freedom: 549.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 550
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.223 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 550.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 551
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 551.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 552
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.378]
## ---------------------------------------
## Degrees of freedom: 552.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 553
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 553.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 554
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 554.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.067,0.377]
## ---------------------------------------
## Degrees of freedom: 555
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.222 95% CI [0.066,0.377]
## ---------------------------------------
## Degrees of freedom: 555.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 556
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 556.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 557
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 557.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 558
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.376]
## ---------------------------------------
## Degrees of freedom: 558.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 559
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 559.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 560
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.221 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 560.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 561
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.375]
## ---------------------------------------
## Degrees of freedom: 561.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 562
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 562.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 563
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 563.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 564
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.374]
## ---------------------------------------
## Degrees of freedom: 564.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 565
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.22 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 565.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 566
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 566.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 567
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.373]
## ---------------------------------------
## Degrees of freedom: 567.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 568
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 568.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 569
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 569.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 570
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.372]
## ---------------------------------------
## Degrees of freedom: 570.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.219 95% CI [0.066,0.371]
## ---------------------------------------
## Degrees of freedom: 571
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.066,0.371]
## ---------------------------------------
## Degrees of freedom: 571.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.066,0.371]
## ---------------------------------------
## Degrees of freedom: 572
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.066,0.371]
## ---------------------------------------
## Degrees of freedom: 572.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 573
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 573.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.371]
## ---------------------------------------
## Degrees of freedom: 574
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 574.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 575
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 575.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 576
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.218 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 576.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.37]
## ---------------------------------------
## Degrees of freedom: 577
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 577.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 578
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 578.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 579
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 579.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.369]
## ---------------------------------------
## Degrees of freedom: 580
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 580.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 581
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.217 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 581.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 582
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 582.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 583
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.368]
## ---------------------------------------
## Degrees of freedom: 583.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 584
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 584.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 585
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 585.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 586
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.367]
## ---------------------------------------
## Degrees of freedom: 586.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.216 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 587
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 587.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 588
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 588.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 589
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 589.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.366]
## ---------------------------------------
## Degrees of freedom: 590
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.065,0.365]
## ---------------------------------------
## Degrees of freedom: 590.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 591
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 591.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 592
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.215 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 592.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.365]
## ---------------------------------------
## Degrees of freedom: 593
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 593.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 594
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 594.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 595
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 595.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 596
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.364]
## ---------------------------------------
## Degrees of freedom: 596.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 597
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 597.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 598
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.214 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 598.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 599
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.363]
## ---------------------------------------
## Degrees of freedom: 599.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 600
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 600.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 601
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 601.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 602
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 602.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.362]
## ---------------------------------------
## Degrees of freedom: 603
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 603.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.213 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 604
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 604.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 605
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 605.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 606
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.361]
## ---------------------------------------
## Degrees of freedom: 606.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 607
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 607.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 608
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 608.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 609
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.212 95% CI [0.064,0.36]
## ---------------------------------------
## Degrees of freedom: 609.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.36]
## ---------------------------------------
## Degrees of freedom: 610
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 610.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 611
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 611.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 612
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 612.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.359]
## ---------------------------------------
## Degrees of freedom: 613
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 613.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 614
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 614.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 615
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.211 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 615.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 616
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.358]
## ---------------------------------------
## Degrees of freedom: 616.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 617
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 617.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 618
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 618.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 619
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 619.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.357]
## ---------------------------------------
## Degrees of freedom: 620
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 620.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 621
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.21 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 621.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 622
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 622.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 623
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.356]
## ---------------------------------------
## Degrees of freedom: 623.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 624
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 624.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 625
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 625.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 626
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 626.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 627
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.209 95% CI [0.063,0.355]
## ---------------------------------------
## Degrees of freedom: 627.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.063,0.354]
## ---------------------------------------
## Degrees of freedom: 628
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.063,0.354]
## ---------------------------------------
## Degrees of freedom: 628.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.063,0.354]
## ---------------------------------------
## Degrees of freedom: 629
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 629.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 630
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 630.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.354]
## ---------------------------------------
## Degrees of freedom: 631
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 631.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 632
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 632.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 633
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.208 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 633.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 634
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.353]
## ---------------------------------------
## Degrees of freedom: 634.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 635
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 635.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 636
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 636.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 637
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 637.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.352]
## ---------------------------------------
## Degrees of freedom: 638
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 638.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 639
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 639.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.207 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 640
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 640.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 641
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 641.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.351]
## ---------------------------------------
## Degrees of freedom: 642
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 642.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 643
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 643.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 644
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 644.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 645
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.35]
## ---------------------------------------
## Degrees of freedom: 645.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.206 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 646
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 646.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 647
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 647.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 648
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 648.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.349]
## ---------------------------------------
## Degrees of freedom: 649
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.348]
## ---------------------------------------
## Degrees of freedom: 649.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.062,0.348]
## ---------------------------------------
## Degrees of freedom: 650
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 650.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 651
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 651.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 652
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.205 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 652.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.348]
## ---------------------------------------
## Degrees of freedom: 653
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 653.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 654
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 654.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 655
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 655.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 656
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 656.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.347]
## ---------------------------------------
## Degrees of freedom: 657
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 657.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 658
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 658.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.204 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 659
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 659.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 660
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.346]
## ---------------------------------------
## Degrees of freedom: 660.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 661
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 661.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 662
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 662.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 663
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 663.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 664
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.345]
## ---------------------------------------
## Degrees of freedom: 664.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 665
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.203 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 665.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 666
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 666.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 667
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 667.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 668
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.344]
## ---------------------------------------
## Degrees of freedom: 668.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 669
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 669.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 670
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 670.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 671
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 671.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.061,0.343]
## ---------------------------------------
## Degrees of freedom: 672
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.202 95% CI [0.06,0.343]
## ---------------------------------------
## Degrees of freedom: 672.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 673
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 673.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 674
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 674.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 675
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 675.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 676
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.342]
## ---------------------------------------
## Degrees of freedom: 676.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 677
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 677.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 678
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 678.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.201 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 679
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 679.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 680
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.341]
## ---------------------------------------
## Degrees of freedom: 680.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 681
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 681.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 682
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 682.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 683
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 683.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 684
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.34]
## ---------------------------------------
## Degrees of freedom: 684.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 685
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 685.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.2 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 686
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 686.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 687
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 687.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 688
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.339]
## ---------------------------------------
## Degrees of freedom: 688.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 689
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 689.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 690
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 690.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 691
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 691.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 692
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.338]
## ---------------------------------------
## Degrees of freedom: 692.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.199 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 693
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 693.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 694
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 694.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.06,0.337]
## ---------------------------------------
## Degrees of freedom: 695
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 695.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 696
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.337]
## ---------------------------------------
## Degrees of freedom: 696.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 697
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 697.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 698
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 698.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 699
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 699.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.198 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 700
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 700.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.336]
## ---------------------------------------
## Degrees of freedom: 701
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 701.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 702
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 702.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 703
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 703.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 704
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 704.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.335]
## ---------------------------------------
## Degrees of freedom: 705
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 705.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 706
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 706.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.197 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 707
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 707.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 708
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 708.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 709
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.334]
## ---------------------------------------
## Degrees of freedom: 709.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 710
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 710.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 711
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 711.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 712
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 712.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 713
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.333]
## ---------------------------------------
## Degrees of freedom: 713.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 714
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.196 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 714.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 715
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 715.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 716
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 716.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 717
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 717.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.332]
## ---------------------------------------
## Degrees of freedom: 718
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.331]
## ---------------------------------------
## Degrees of freedom: 718.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.059,0.331]
## ---------------------------------------
## Degrees of freedom: 719
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 719.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 720
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 720.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 721
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 721.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.195 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 722
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.331]
## ---------------------------------------
## Degrees of freedom: 722.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 723
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 723.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 724
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 724.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 725
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 725.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 726
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 726.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.33]
## ---------------------------------------
## Degrees of freedom: 727
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 727.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 728
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 728.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 729
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.194 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 729.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 730
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 730.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 731
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.329]
## ---------------------------------------
## Degrees of freedom: 731.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 732
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 732.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 733
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 733.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 734
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 734.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 735
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 735.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.328]
## ---------------------------------------
## Degrees of freedom: 736
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 736.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.193 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 737
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 737.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 738
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 738.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 739
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 739.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 740
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.327]
## ---------------------------------------
## Degrees of freedom: 740.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 741
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 741.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 742
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 742.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 743
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 743.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 744
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.058,0.326]
## ---------------------------------------
## Degrees of freedom: 744.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.192 95% CI [0.057,0.326]
## ---------------------------------------
## Degrees of freedom: 745
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 745.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 746
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 746.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 747
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 747.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 748
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 748.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 749
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.325]
## ---------------------------------------
## Degrees of freedom: 749.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 750
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 750.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 751
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 751.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 752
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 752.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.191 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 753
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 753.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 754
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.324]
## ---------------------------------------
## Degrees of freedom: 754.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 755
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 755.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 756
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 756.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 757
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 757.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 758
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 758.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.323]
## ---------------------------------------
## Degrees of freedom: 759
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 759.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 760
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 760.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.19 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 761
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 761.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 762
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 762.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 763
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.322]
## ---------------------------------------
## Degrees of freedom: 763.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 764
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 764.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 765
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 765.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 766
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 766.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 767
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 767.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 768
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.321]
## ---------------------------------------
## Degrees of freedom: 768.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.189 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 769
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 769.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 770
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 770.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 771
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.057,0.32]
## ---------------------------------------
## Degrees of freedom: 771.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 772
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 772.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 773
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.32]
## ---------------------------------------
## Degrees of freedom: 773.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 774
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 774.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 775
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 775.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 776
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 776.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.188 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 777
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 777.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 778
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.319]
## ---------------------------------------
## Degrees of freedom: 778.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 779
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 779.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 780
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 780.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 781
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 781.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 782
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 782.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.318]
## ---------------------------------------
## Degrees of freedom: 783
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 783.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 784
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 784.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 785
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.187 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 785.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 786
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 786.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 787
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 787.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.317]
## ---------------------------------------
## Degrees of freedom: 788
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 788.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 789
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 789.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 790
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 790.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 791
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 791.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 792
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 792.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Minimum detectable effect size:
## ---------------------------------------
## 0.186 95% CI [0.056,0.316]
## ---------------------------------------
## Degrees of freedom: 793
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design# compare statistical power
plot(crt, ypar = "power", xpar = "n2",
ylim = c(.10, .85), xlim = c(10, 800),
ylab = "Power (for ES = .20)", xlab = "Number of Clusters",
main = expression(CRT), locate = TRUE)##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.099
## ---------------------------------------
## Degrees of freedom: 7
## Standardized standard error: 0.269
## Type I error rate: 0.05
## Type II error rate: 0.901
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.102
## ---------------------------------------
## Degrees of freedom: 7.5
## Standardized standard error: 0.263
## Type I error rate: 0.05
## Type II error rate: 0.898
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.106
## ---------------------------------------
## Degrees of freedom: 8
## Standardized standard error: 0.257
## Type I error rate: 0.05
## Type II error rate: 0.894
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.109
## ---------------------------------------
## Degrees of freedom: 8.5
## Standardized standard error: 0.251
## Type I error rate: 0.05
## Type II error rate: 0.891
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.113
## ---------------------------------------
## Degrees of freedom: 9
## Standardized standard error: 0.246
## Type I error rate: 0.05
## Type II error rate: 0.887
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.116
## ---------------------------------------
## Degrees of freedom: 9.5
## Standardized standard error: 0.241
## Type I error rate: 0.05
## Type II error rate: 0.884
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.12
## ---------------------------------------
## Degrees of freedom: 10
## Standardized standard error: 0.236
## Type I error rate: 0.05
## Type II error rate: 0.88
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.123
## ---------------------------------------
## Degrees of freedom: 10.5
## Standardized standard error: 0.232
## Type I error rate: 0.05
## Type II error rate: 0.877
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.127
## ---------------------------------------
## Degrees of freedom: 11
## Standardized standard error: 0.228
## Type I error rate: 0.05
## Type II error rate: 0.873
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.13
## ---------------------------------------
## Degrees of freedom: 11.5
## Standardized standard error: 0.224
## Type I error rate: 0.05
## Type II error rate: 0.87
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.134
## ---------------------------------------
## Degrees of freedom: 12
## Standardized standard error: 0.22
## Type I error rate: 0.05
## Type II error rate: 0.866
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.137
## ---------------------------------------
## Degrees of freedom: 12.5
## Standardized standard error: 0.216
## Type I error rate: 0.05
## Type II error rate: 0.863
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.14
## ---------------------------------------
## Degrees of freedom: 13
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.86
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.144
## ---------------------------------------
## Degrees of freedom: 13.5
## Standardized standard error: 0.21
## Type I error rate: 0.05
## Type II error rate: 0.856
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.147
## ---------------------------------------
## Degrees of freedom: 14
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.853
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.151
## ---------------------------------------
## Degrees of freedom: 14.5
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.849
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.154
## ---------------------------------------
## Degrees of freedom: 15
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.846
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.158
## ---------------------------------------
## Degrees of freedom: 15.5
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.842
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.161
## ---------------------------------------
## Degrees of freedom: 16
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.839
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.165
## ---------------------------------------
## Degrees of freedom: 16.5
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.835
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.168
## ---------------------------------------
## Degrees of freedom: 17
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.832
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.171
## ---------------------------------------
## Degrees of freedom: 17.5
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.829
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.175
## ---------------------------------------
## Degrees of freedom: 18
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.825
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.178
## ---------------------------------------
## Degrees of freedom: 18.5
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.822
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.182
## ---------------------------------------
## Degrees of freedom: 19
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.818
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.185
## ---------------------------------------
## Degrees of freedom: 19.5
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.815
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.189
## ---------------------------------------
## Degrees of freedom: 20
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.811
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.192
## ---------------------------------------
## Degrees of freedom: 20.5
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.808
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.196
## ---------------------------------------
## Degrees of freedom: 21
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.804
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.199
## ---------------------------------------
## Degrees of freedom: 21.5
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.801
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.202
## ---------------------------------------
## Degrees of freedom: 22
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.798
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.206
## ---------------------------------------
## Degrees of freedom: 22.5
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.794
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.209
## ---------------------------------------
## Degrees of freedom: 23
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.791
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.213
## ---------------------------------------
## Degrees of freedom: 23.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.787
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.216
## ---------------------------------------
## Degrees of freedom: 24
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.784
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.22
## ---------------------------------------
## Degrees of freedom: 24.5
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.78
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.223
## ---------------------------------------
## Degrees of freedom: 25
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.777
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.226
## ---------------------------------------
## Degrees of freedom: 25.5
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.774
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.23
## ---------------------------------------
## Degrees of freedom: 26
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.77
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.233
## ---------------------------------------
## Degrees of freedom: 26.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.767
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.237
## ---------------------------------------
## Degrees of freedom: 27
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.763
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.24
## ---------------------------------------
## Degrees of freedom: 27.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.76
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.243
## ---------------------------------------
## Degrees of freedom: 28
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.757
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.247
## ---------------------------------------
## Degrees of freedom: 28.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.753
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.25
## ---------------------------------------
## Degrees of freedom: 29
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.75
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.254
## ---------------------------------------
## Degrees of freedom: 29.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.746
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.257
## ---------------------------------------
## Degrees of freedom: 30
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.743
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.26
## ---------------------------------------
## Degrees of freedom: 30.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.74
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.264
## ---------------------------------------
## Degrees of freedom: 31
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.736
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.267
## ---------------------------------------
## Degrees of freedom: 31.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.733
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.271
## ---------------------------------------
## Degrees of freedom: 32
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.729
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.274
## ---------------------------------------
## Degrees of freedom: 32.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.726
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.277
## ---------------------------------------
## Degrees of freedom: 33
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.723
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.281
## ---------------------------------------
## Degrees of freedom: 33.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.719
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.284
## ---------------------------------------
## Degrees of freedom: 34
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.716
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.287
## ---------------------------------------
## Degrees of freedom: 34.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.713
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.291
## ---------------------------------------
## Degrees of freedom: 35
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.709
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.294
## ---------------------------------------
## Degrees of freedom: 35.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.706
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.298
## ---------------------------------------
## Degrees of freedom: 36
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.702
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.301
## ---------------------------------------
## Degrees of freedom: 36.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.699
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.304
## ---------------------------------------
## Degrees of freedom: 37
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.696
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.308
## ---------------------------------------
## Degrees of freedom: 37.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.692
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.311
## ---------------------------------------
## Degrees of freedom: 38
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.689
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.314
## ---------------------------------------
## Degrees of freedom: 38.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.686
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.317
## ---------------------------------------
## Degrees of freedom: 39
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.683
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.321
## ---------------------------------------
## Degrees of freedom: 39.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.679
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.324
## ---------------------------------------
## Degrees of freedom: 40
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.676
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.327
## ---------------------------------------
## Degrees of freedom: 40.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.673
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.331
## ---------------------------------------
## Degrees of freedom: 41
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.669
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.334
## ---------------------------------------
## Degrees of freedom: 41.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.666
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.337
## ---------------------------------------
## Degrees of freedom: 42
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.663
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.34
## ---------------------------------------
## Degrees of freedom: 42.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.66
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.344
## ---------------------------------------
## Degrees of freedom: 43
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.656
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.347
## ---------------------------------------
## Degrees of freedom: 43.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.653
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.35
## ---------------------------------------
## Degrees of freedom: 44
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.65
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.353
## ---------------------------------------
## Degrees of freedom: 44.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.647
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.357
## ---------------------------------------
## Degrees of freedom: 45
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.643
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.36
## ---------------------------------------
## Degrees of freedom: 45.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.64
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.363
## ---------------------------------------
## Degrees of freedom: 46
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.637
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.366
## ---------------------------------------
## Degrees of freedom: 46.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.634
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.37
## ---------------------------------------
## Degrees of freedom: 47
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.63
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.373
## ---------------------------------------
## Degrees of freedom: 47.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.627
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.376
## ---------------------------------------
## Degrees of freedom: 48
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.624
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.379
## ---------------------------------------
## Degrees of freedom: 48.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.621
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.382
## ---------------------------------------
## Degrees of freedom: 49
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.618
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.385
## ---------------------------------------
## Degrees of freedom: 49.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.615
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.389
## ---------------------------------------
## Degrees of freedom: 50
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.611
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.392
## ---------------------------------------
## Degrees of freedom: 50.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.608
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.395
## ---------------------------------------
## Degrees of freedom: 51
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.605
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.398
## ---------------------------------------
## Degrees of freedom: 51.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.602
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.401
## ---------------------------------------
## Degrees of freedom: 52
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.599
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.404
## ---------------------------------------
## Degrees of freedom: 52.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.596
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.407
## ---------------------------------------
## Degrees of freedom: 53
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.593
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.41
## ---------------------------------------
## Degrees of freedom: 53.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.59
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.414
## ---------------------------------------
## Degrees of freedom: 54
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.586
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.417
## ---------------------------------------
## Degrees of freedom: 54.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.583
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.42
## ---------------------------------------
## Degrees of freedom: 55
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.58
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.423
## ---------------------------------------
## Degrees of freedom: 55.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.577
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.426
## ---------------------------------------
## Degrees of freedom: 56
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.574
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.429
## ---------------------------------------
## Degrees of freedom: 56.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.571
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.432
## ---------------------------------------
## Degrees of freedom: 57
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.568
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.435
## ---------------------------------------
## Degrees of freedom: 57.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.565
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.438
## ---------------------------------------
## Degrees of freedom: 58
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.562
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.441
## ---------------------------------------
## Degrees of freedom: 58.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.559
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.444
## ---------------------------------------
## Degrees of freedom: 59
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.556
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.447
## ---------------------------------------
## Degrees of freedom: 59.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.553
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.45
## ---------------------------------------
## Degrees of freedom: 60
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.55
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.453
## ---------------------------------------
## Degrees of freedom: 60.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.547
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.456
## ---------------------------------------
## Degrees of freedom: 61
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.544
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.459
## ---------------------------------------
## Degrees of freedom: 61.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.541
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.462
## ---------------------------------------
## Degrees of freedom: 62
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.538
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.465
## ---------------------------------------
## Degrees of freedom: 62.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.535
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.468
## ---------------------------------------
## Degrees of freedom: 63
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.532
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.471
## ---------------------------------------
## Degrees of freedom: 63.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.529
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.473
## ---------------------------------------
## Degrees of freedom: 64
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.527
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.476
## ---------------------------------------
## Degrees of freedom: 64.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.524
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.479
## ---------------------------------------
## Degrees of freedom: 65
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.521
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.482
## ---------------------------------------
## Degrees of freedom: 65.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.518
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.485
## ---------------------------------------
## Degrees of freedom: 66
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.515
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.488
## ---------------------------------------
## Degrees of freedom: 66.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.512
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.491
## ---------------------------------------
## Degrees of freedom: 67
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.509
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.493
## ---------------------------------------
## Degrees of freedom: 67.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.507
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.496
## ---------------------------------------
## Degrees of freedom: 68
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.504
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.499
## ---------------------------------------
## Degrees of freedom: 68.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.501
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.502
## ---------------------------------------
## Degrees of freedom: 69
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.498
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.505
## ---------------------------------------
## Degrees of freedom: 69.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.495
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.508
## ---------------------------------------
## Degrees of freedom: 70
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.492
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.51
## ---------------------------------------
## Degrees of freedom: 70.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.49
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.513
## ---------------------------------------
## Degrees of freedom: 71
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.487
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.516
## ---------------------------------------
## Degrees of freedom: 71.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.484
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.519
## ---------------------------------------
## Degrees of freedom: 72
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.481
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.521
## ---------------------------------------
## Degrees of freedom: 72.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.479
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.524
## ---------------------------------------
## Degrees of freedom: 73
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.476
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.527
## ---------------------------------------
## Degrees of freedom: 73.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.473
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.529
## ---------------------------------------
## Degrees of freedom: 74
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.471
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.532
## ---------------------------------------
## Degrees of freedom: 74.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.468
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.535
## ---------------------------------------
## Degrees of freedom: 75
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.465
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.537
## ---------------------------------------
## Degrees of freedom: 75.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.463
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.54
## ---------------------------------------
## Degrees of freedom: 76
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.46
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.543
## ---------------------------------------
## Degrees of freedom: 76.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.457
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.545
## ---------------------------------------
## Degrees of freedom: 77
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.455
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.548
## ---------------------------------------
## Degrees of freedom: 77.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.452
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.551
## ---------------------------------------
## Degrees of freedom: 78
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.449
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.553
## ---------------------------------------
## Degrees of freedom: 78.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.447
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.556
## ---------------------------------------
## Degrees of freedom: 79
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.444
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.558
## ---------------------------------------
## Degrees of freedom: 79.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.442
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.561
## ---------------------------------------
## Degrees of freedom: 80
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.439
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.564
## ---------------------------------------
## Degrees of freedom: 80.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.436
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.566
## ---------------------------------------
## Degrees of freedom: 81
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.434
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.569
## ---------------------------------------
## Degrees of freedom: 81.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.431
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.571
## ---------------------------------------
## Degrees of freedom: 82
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.429
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.574
## ---------------------------------------
## Degrees of freedom: 82.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.426
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.576
## ---------------------------------------
## Degrees of freedom: 83
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.424
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.579
## ---------------------------------------
## Degrees of freedom: 83.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.421
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.581
## ---------------------------------------
## Degrees of freedom: 84
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.419
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.584
## ---------------------------------------
## Degrees of freedom: 84.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.416
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.586
## ---------------------------------------
## Degrees of freedom: 85
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.414
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.589
## ---------------------------------------
## Degrees of freedom: 85.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.411
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.591
## ---------------------------------------
## Degrees of freedom: 86
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.409
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.594
## ---------------------------------------
## Degrees of freedom: 86.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.406
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.596
## ---------------------------------------
## Degrees of freedom: 87
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.404
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.598
## ---------------------------------------
## Degrees of freedom: 87.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.402
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.601
## ---------------------------------------
## Degrees of freedom: 88
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.399
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.603
## ---------------------------------------
## Degrees of freedom: 88.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.397
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.606
## ---------------------------------------
## Degrees of freedom: 89
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.394
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.608
## ---------------------------------------
## Degrees of freedom: 89.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.392
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.61
## ---------------------------------------
## Degrees of freedom: 90
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.39
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.613
## ---------------------------------------
## Degrees of freedom: 90.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.387
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.615
## ---------------------------------------
## Degrees of freedom: 91
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.385
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.617
## ---------------------------------------
## Degrees of freedom: 91.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.383
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.62
## ---------------------------------------
## Degrees of freedom: 92
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.38
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.622
## ---------------------------------------
## Degrees of freedom: 92.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.378
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.624
## ---------------------------------------
## Degrees of freedom: 93
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.376
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.627
## ---------------------------------------
## Degrees of freedom: 93.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.373
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.629
## ---------------------------------------
## Degrees of freedom: 94
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.371
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.631
## ---------------------------------------
## Degrees of freedom: 94.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.369
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.633
## ---------------------------------------
## Degrees of freedom: 95
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.367
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.636
## ---------------------------------------
## Degrees of freedom: 95.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.364
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.638
## ---------------------------------------
## Degrees of freedom: 96
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.362
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.64
## ---------------------------------------
## Degrees of freedom: 96.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.36
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.642
## ---------------------------------------
## Degrees of freedom: 97
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.358
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.645
## ---------------------------------------
## Degrees of freedom: 97.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.355
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.647
## ---------------------------------------
## Degrees of freedom: 98
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.353
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.649
## ---------------------------------------
## Degrees of freedom: 98.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.351
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.651
## ---------------------------------------
## Degrees of freedom: 99
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.349
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.653
## ---------------------------------------
## Degrees of freedom: 99.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.347
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.655
## ---------------------------------------
## Degrees of freedom: 100
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.345
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.658
## ---------------------------------------
## Degrees of freedom: 100.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.342
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.66
## ---------------------------------------
## Degrees of freedom: 101
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.34
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.662
## ---------------------------------------
## Degrees of freedom: 101.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.338
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.664
## ---------------------------------------
## Degrees of freedom: 102
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.336
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.666
## ---------------------------------------
## Degrees of freedom: 102.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.334
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.668
## ---------------------------------------
## Degrees of freedom: 103
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.332
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.67
## ---------------------------------------
## Degrees of freedom: 103.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.33
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.672
## ---------------------------------------
## Degrees of freedom: 104
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.328
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.674
## ---------------------------------------
## Degrees of freedom: 104.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.326
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.676
## ---------------------------------------
## Degrees of freedom: 105
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.324
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.679
## ---------------------------------------
## Degrees of freedom: 105.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.321
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.681
## ---------------------------------------
## Degrees of freedom: 106
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.319
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.683
## ---------------------------------------
## Degrees of freedom: 106.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.317
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.685
## ---------------------------------------
## Degrees of freedom: 107
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.315
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.687
## ---------------------------------------
## Degrees of freedom: 107.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.313
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.689
## ---------------------------------------
## Degrees of freedom: 108
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.311
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.691
## ---------------------------------------
## Degrees of freedom: 108.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.309
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.693
## ---------------------------------------
## Degrees of freedom: 109
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.307
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.695
## ---------------------------------------
## Degrees of freedom: 109.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.305
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.696
## ---------------------------------------
## Degrees of freedom: 110
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.304
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.698
## ---------------------------------------
## Degrees of freedom: 110.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.302
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.7
## ---------------------------------------
## Degrees of freedom: 111
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.3
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.702
## ---------------------------------------
## Degrees of freedom: 111.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.298
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.704
## ---------------------------------------
## Degrees of freedom: 112
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.296
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.706
## ---------------------------------------
## Degrees of freedom: 112.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.294
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.708
## ---------------------------------------
## Degrees of freedom: 113
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.292
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.71
## ---------------------------------------
## Degrees of freedom: 113.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.29
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.712
## ---------------------------------------
## Degrees of freedom: 114
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.288
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.714
## ---------------------------------------
## Degrees of freedom: 114.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.286
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.715
## ---------------------------------------
## Degrees of freedom: 115
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.285
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.717
## ---------------------------------------
## Degrees of freedom: 115.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.283
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.719
## ---------------------------------------
## Degrees of freedom: 116
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.281
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.721
## ---------------------------------------
## Degrees of freedom: 116.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.279
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.723
## ---------------------------------------
## Degrees of freedom: 117
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.277
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.725
## ---------------------------------------
## Degrees of freedom: 117.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.275
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.726
## ---------------------------------------
## Degrees of freedom: 118
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.274
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.728
## ---------------------------------------
## Degrees of freedom: 118.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.272
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.73
## ---------------------------------------
## Degrees of freedom: 119
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.27
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.732
## ---------------------------------------
## Degrees of freedom: 119.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.268
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.733
## ---------------------------------------
## Degrees of freedom: 120
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.267
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.735
## ---------------------------------------
## Degrees of freedom: 120.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.265
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.737
## ---------------------------------------
## Degrees of freedom: 121
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.263
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.739
## ---------------------------------------
## Degrees of freedom: 121.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.261
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.74
## ---------------------------------------
## Degrees of freedom: 122
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.26
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.742
## ---------------------------------------
## Degrees of freedom: 122.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.258
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.744
## ---------------------------------------
## Degrees of freedom: 123
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.256
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.746
## ---------------------------------------
## Degrees of freedom: 123.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.254
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.747
## ---------------------------------------
## Degrees of freedom: 124
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.253
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.749
## ---------------------------------------
## Degrees of freedom: 124.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.251
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.751
## ---------------------------------------
## Degrees of freedom: 125
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.249
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.752
## ---------------------------------------
## Degrees of freedom: 125.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.248
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.754
## ---------------------------------------
## Degrees of freedom: 126
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.246
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.755
## ---------------------------------------
## Degrees of freedom: 126.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.245
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.757
## ---------------------------------------
## Degrees of freedom: 127
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.243
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.759
## ---------------------------------------
## Degrees of freedom: 127.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.241
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.76
## ---------------------------------------
## Degrees of freedom: 128
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.24
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.762
## ---------------------------------------
## Degrees of freedom: 128.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.238
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.764
## ---------------------------------------
## Degrees of freedom: 129
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.236
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.765
## ---------------------------------------
## Degrees of freedom: 129.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.235
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.767
## ---------------------------------------
## Degrees of freedom: 130
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.233
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.768
## ---------------------------------------
## Degrees of freedom: 130.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.232
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.77
## ---------------------------------------
## Degrees of freedom: 131
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.23
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.771
## ---------------------------------------
## Degrees of freedom: 131.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.229
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.773
## ---------------------------------------
## Degrees of freedom: 132
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.227
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.774
## ---------------------------------------
## Degrees of freedom: 132.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.226
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.776
## ---------------------------------------
## Degrees of freedom: 133
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.224
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 133.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.779
## ---------------------------------------
## Degrees of freedom: 134
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.221
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.78
## ---------------------------------------
## Degrees of freedom: 134.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.22
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 135
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.783
## ---------------------------------------
## Degrees of freedom: 135.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.217
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 136
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.786
## ---------------------------------------
## Degrees of freedom: 136.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.214
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 137
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.789
## ---------------------------------------
## Degrees of freedom: 137.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.211
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 138
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.792
## ---------------------------------------
## Degrees of freedom: 138.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.208
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 139
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.795
## ---------------------------------------
## Degrees of freedom: 139.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.205
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.796
## ---------------------------------------
## Degrees of freedom: 140
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.204
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 140.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.799
## ---------------------------------------
## Degrees of freedom: 141
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.201
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.801
## ---------------------------------------
## Degrees of freedom: 141.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.199
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 142
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.803
## ---------------------------------------
## Degrees of freedom: 142.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.197
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.805
## ---------------------------------------
## Degrees of freedom: 143
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.195
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 143.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 144
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 144.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 145
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.811
## ---------------------------------------
## Degrees of freedom: 145.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.189
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 146
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.814
## ---------------------------------------
## Degrees of freedom: 146.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.186
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 147
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 147.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 148
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.819
## ---------------------------------------
## Degrees of freedom: 148.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.181
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 149
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 149.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 150
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 150.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 151
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 151.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 152
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 152.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 153
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 153.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 154
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 154.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 155
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 155.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 156
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 156.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 157
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 157.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 158
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 158.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 159
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 159.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 160
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 160.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 161
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 161.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 162
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 162.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 163
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 163.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.855
## ---------------------------------------
## Degrees of freedom: 164
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.145
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.856
## ---------------------------------------
## Degrees of freedom: 164.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.144
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.857
## ---------------------------------------
## Degrees of freedom: 165
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.143
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.858
## ---------------------------------------
## Degrees of freedom: 165.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.142
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.859
## ---------------------------------------
## Degrees of freedom: 166
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.141
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.86
## ---------------------------------------
## Degrees of freedom: 166.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.14
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.861
## ---------------------------------------
## Degrees of freedom: 167
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.139
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.862
## ---------------------------------------
## Degrees of freedom: 167.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.138
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.863
## ---------------------------------------
## Degrees of freedom: 168
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.137
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.864
## ---------------------------------------
## Degrees of freedom: 168.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.136
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.865
## ---------------------------------------
## Degrees of freedom: 169
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.135
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.866
## ---------------------------------------
## Degrees of freedom: 169.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.134
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.867
## ---------------------------------------
## Degrees of freedom: 170
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.133
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.868
## ---------------------------------------
## Degrees of freedom: 170.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.132
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.869
## ---------------------------------------
## Degrees of freedom: 171
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.131
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.87
## ---------------------------------------
## Degrees of freedom: 171.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.13
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.871
## ---------------------------------------
## Degrees of freedom: 172
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.129
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.871
## ---------------------------------------
## Degrees of freedom: 172.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.129
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.872
## ---------------------------------------
## Degrees of freedom: 173
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.128
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.873
## ---------------------------------------
## Degrees of freedom: 173.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.127
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.874
## ---------------------------------------
## Degrees of freedom: 174
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.126
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.875
## ---------------------------------------
## Degrees of freedom: 174.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.125
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.876
## ---------------------------------------
## Degrees of freedom: 175
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.124
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.877
## ---------------------------------------
## Degrees of freedom: 175.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.123
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.878
## ---------------------------------------
## Degrees of freedom: 176
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.122
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.879
## ---------------------------------------
## Degrees of freedom: 176.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.121
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.88
## ---------------------------------------
## Degrees of freedom: 177
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.12
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.881
## ---------------------------------------
## Degrees of freedom: 177.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.119
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.881
## ---------------------------------------
## Degrees of freedom: 178
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.119
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.882
## ---------------------------------------
## Degrees of freedom: 178.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.118
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.883
## ---------------------------------------
## Degrees of freedom: 179
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.117
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.884
## ---------------------------------------
## Degrees of freedom: 179.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.116
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.885
## ---------------------------------------
## Degrees of freedom: 180
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.115
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.886
## ---------------------------------------
## Degrees of freedom: 180.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.114
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.887
## ---------------------------------------
## Degrees of freedom: 181
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.113
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.887
## ---------------------------------------
## Degrees of freedom: 181.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.113
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.888
## ---------------------------------------
## Degrees of freedom: 182
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.112
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.889
## ---------------------------------------
## Degrees of freedom: 182.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.111
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.89
## ---------------------------------------
## Degrees of freedom: 183
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.11
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.891
## ---------------------------------------
## Degrees of freedom: 183.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.109
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.891
## ---------------------------------------
## Degrees of freedom: 184
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.109
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.892
## ---------------------------------------
## Degrees of freedom: 184.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.108
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.893
## ---------------------------------------
## Degrees of freedom: 185
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.107
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.894
## ---------------------------------------
## Degrees of freedom: 185.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.106
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.895
## ---------------------------------------
## Degrees of freedom: 186
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.105
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.895
## ---------------------------------------
## Degrees of freedom: 186.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.105
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.896
## ---------------------------------------
## Degrees of freedom: 187
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.104
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.897
## ---------------------------------------
## Degrees of freedom: 187.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.103
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.898
## ---------------------------------------
## Degrees of freedom: 188
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.102
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.898
## ---------------------------------------
## Degrees of freedom: 188.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.102
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.899
## ---------------------------------------
## Degrees of freedom: 189
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.101
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.9
## ---------------------------------------
## Degrees of freedom: 189.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.1
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.901
## ---------------------------------------
## Degrees of freedom: 190
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.099
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.901
## ---------------------------------------
## Degrees of freedom: 190.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.099
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.902
## ---------------------------------------
## Degrees of freedom: 191
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.098
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.903
## ---------------------------------------
## Degrees of freedom: 191.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.097
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.904
## ---------------------------------------
## Degrees of freedom: 192
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.096
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.904
## ---------------------------------------
## Degrees of freedom: 192.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.096
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.905
## ---------------------------------------
## Degrees of freedom: 193
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.095
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.906
## ---------------------------------------
## Degrees of freedom: 193.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.094
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.906
## ---------------------------------------
## Degrees of freedom: 194
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.094
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.907
## ---------------------------------------
## Degrees of freedom: 194.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.093
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.908
## ---------------------------------------
## Degrees of freedom: 195
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.092
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.909
## ---------------------------------------
## Degrees of freedom: 195.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.091
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.909
## ---------------------------------------
## Degrees of freedom: 196
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.091
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.91
## ---------------------------------------
## Degrees of freedom: 196.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.09
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.911
## ---------------------------------------
## Degrees of freedom: 197
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.089
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.911
## ---------------------------------------
## Degrees of freedom: 197.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.089
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.912
## ---------------------------------------
## Degrees of freedom: 198
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.088
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.913
## ---------------------------------------
## Degrees of freedom: 198.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.087
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.913
## ---------------------------------------
## Degrees of freedom: 199
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.087
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.914
## ---------------------------------------
## Degrees of freedom: 199.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.086
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.915
## ---------------------------------------
## Degrees of freedom: 200
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.085
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.915
## ---------------------------------------
## Degrees of freedom: 200.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.085
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.916
## ---------------------------------------
## Degrees of freedom: 201
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.084
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.916
## ---------------------------------------
## Degrees of freedom: 201.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.084
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.917
## ---------------------------------------
## Degrees of freedom: 202
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.083
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.918
## ---------------------------------------
## Degrees of freedom: 202.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.082
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.918
## ---------------------------------------
## Degrees of freedom: 203
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.082
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.919
## ---------------------------------------
## Degrees of freedom: 203.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.081
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.92
## ---------------------------------------
## Degrees of freedom: 204
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.08
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.92
## ---------------------------------------
## Degrees of freedom: 204.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.08
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.921
## ---------------------------------------
## Degrees of freedom: 205
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.079
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.921
## ---------------------------------------
## Degrees of freedom: 205.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.079
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.922
## ---------------------------------------
## Degrees of freedom: 206
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.078
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.923
## ---------------------------------------
## Degrees of freedom: 206.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.077
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.923
## ---------------------------------------
## Degrees of freedom: 207
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.077
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 207.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 208
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.925
## ---------------------------------------
## Degrees of freedom: 208.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.075
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.926
## ---------------------------------------
## Degrees of freedom: 209
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.074
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.926
## ---------------------------------------
## Degrees of freedom: 209.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.074
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 210
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 210.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 211
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 211.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 212
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 212.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.93
## ---------------------------------------
## Degrees of freedom: 213
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.07
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.93
## ---------------------------------------
## Degrees of freedom: 213.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.07
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.931
## ---------------------------------------
## Degrees of freedom: 214
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.069
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 214.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 215
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 215.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 216
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 216.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 217
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 217.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 218
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 218.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 219
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 219.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 220
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 220.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 221
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 221.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 222
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 222.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 223
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 223.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 224
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 224.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 225
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 225.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 226
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 226.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 227
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 227.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 228
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 228.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 229
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 229.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 230
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 230.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 231
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 231.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 232
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 232.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 233
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 233.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 234
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 234.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 235
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 235.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 236
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 236.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 237
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 237.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 238
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 238.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 239
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 239.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 240
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 240.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 241
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 241.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 242
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 242.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 243
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 243.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 244
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 244.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 245
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 245.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 246
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 246.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 247
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 247.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 248
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 248.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 249
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 249.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 250
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 250.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 251
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 251.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 252
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 252.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 253
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 253.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 254
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 254.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 255
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 255.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 256
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 256.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 257
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 257.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 258
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 258.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 259
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 259.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 260
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 260.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 261
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 261.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 262
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 262.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 263
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 263.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 264
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 264.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 265
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 265.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 266
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 266.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 267
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 267.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 268
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 268.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 269
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 269.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 270
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 270.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 271
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 271.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 272
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 272.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 273
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 273.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 274
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 274.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 275
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 275.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 276
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 276.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 277
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 277.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 278
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 278.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 279
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 279.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 280
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 280.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 281
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 281.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 282
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 282.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 283
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 283.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 284
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 284.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 285
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 285.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 286
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 286.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 287
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 287.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 288
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 288.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 289
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 289.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 290
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 290.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 291
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 291.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 292
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 292.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 293
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 293.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 294
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 294.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 295
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 295.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 296
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 296.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 297
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 297.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 298
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 298.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 299
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 299.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 300
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 300.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 301
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 301.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 302
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 302.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 303
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 303.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 304
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 304.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 305
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 305.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.984
## ---------------------------------------
## Degrees of freedom: 306
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.016
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 306.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 307
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 307.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 308
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 308.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 309
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 309.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.985
## ---------------------------------------
## Degrees of freedom: 310
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.015
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 310.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 311
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 311.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 312
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 312.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 313
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 313.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 314
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.986
## ---------------------------------------
## Degrees of freedom: 314.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.014
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 315
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 315.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 316
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 316.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 317
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 317.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 318
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 318.5
## Standardized standard error: 0.048
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.987
## ---------------------------------------
## Degrees of freedom: 319
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.013
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 319.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 320
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 320.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 321
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 321.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 322
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 322.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 323
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.988
## ---------------------------------------
## Degrees of freedom: 323.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.012
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 324
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 324.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 325
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 325.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 326
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 326.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 327
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 327.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 328
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 328.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.989
## ---------------------------------------
## Degrees of freedom: 329
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.011
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 329.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 330
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 330.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 331
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 331.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 332
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 332.5
## Standardized standard error: 0.047
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 333
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 333.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 334
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 334.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.99
## ---------------------------------------
## Degrees of freedom: 335
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.01
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 335.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 336
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 336.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 337
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 337.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 338
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 338.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 339
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 339.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 340
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 340.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 341
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.991
## ---------------------------------------
## Degrees of freedom: 341.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.009
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 342
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 342.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 343
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 343.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 344
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 344.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 345
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 345.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 346
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 346.5
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 347
## Standardized standard error: 0.046
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 347.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 348
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.992
## ---------------------------------------
## Degrees of freedom: 348.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.008
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 349
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 349.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 350
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 350.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 351
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 351.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 352
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 352.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 353
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 353.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 354
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 354.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 355
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 355.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 356
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 356.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.993
## ---------------------------------------
## Degrees of freedom: 357
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.007
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 357.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 358
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 358.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 359
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 359.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 360
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 360.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 361
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 361.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 362
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 362.5
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 363
## Standardized standard error: 0.045
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 363.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 364
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 364.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 365
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 365.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 366
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.994
## ---------------------------------------
## Degrees of freedom: 366.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.006
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 367
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 367.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 368
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 368.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 369
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 369.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 370
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 370.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 371
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 371.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 372
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 372.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 373
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 373.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 374
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 374.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 375
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 375.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 376
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 376.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 377
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 377.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.995
## ---------------------------------------
## Degrees of freedom: 378
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.005
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 378.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 379
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 379.5
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 380
## Standardized standard error: 0.044
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 380.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 381
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 381.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 382
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 382.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 383
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 383.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 384
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 384.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 385
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 385.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 386
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 386.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 387
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 387.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 388
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 388.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 389
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 389.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 390
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 390.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 391
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 391.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.996
## ---------------------------------------
## Degrees of freedom: 392
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.004
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 392.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 393
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 393.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 394
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 394.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 395
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 395.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 396
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 396.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 397
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 397.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 398
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 398.5
## Standardized standard error: 0.043
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 399
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 399.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 400
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 400.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 401
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 401.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 402
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 402.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 403
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 403.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 404
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 404.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 405
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 405.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 406
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 406.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 407
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 407.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 408
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 408.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 409
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 409.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 410
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 410.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.997
## ---------------------------------------
## Degrees of freedom: 411
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.003
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 411.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 412
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 412.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 413
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 413.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 414
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 414.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 415
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 415.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 416
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 416.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 417
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 417.5
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 418
## Standardized standard error: 0.042
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 418.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 419
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 419.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 420
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 420.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 421
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 421.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 422
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 422.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 423
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 423.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 424
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 424.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 425
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 425.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 426
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 426.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 427
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 427.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 428
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 428.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 429
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 429.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 430
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 430.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 431
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 431.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 432
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 432.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 433
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 433.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 434
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 434.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 435
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 435.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 436
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 436.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 437
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 437.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 438
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 438.5
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.998
## ---------------------------------------
## Degrees of freedom: 439
## Standardized standard error: 0.041
## Type I error rate: 0.05
## Type II error rate: 0.002
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 439.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 440
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 440.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 441
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 441.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 442
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 442.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 443
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 443.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 444
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 444.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 445
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 445.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 446
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 446.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 447
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 447.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 448
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 448.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 449
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 449.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 450
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 450.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 451
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 451.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 452
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 452.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 453
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 453.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 454
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 454.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 455
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 455.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 456
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 456.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 457
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 457.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 458
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 458.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 459
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 459.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 460
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 460.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 461
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 461.5
## Standardized standard error: 0.04
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 462
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 462.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 463
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 463.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 464
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 464.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 465
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 465.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 466
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 466.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 467
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 467.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 468
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 468.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 469
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 469.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 470
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 470.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 471
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 471.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 472
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 472.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 473
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 473.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 474
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 474.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 475
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 475.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 476
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 476.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 477
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 477.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 478
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 478.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 479
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 479.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 480
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 480.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 481
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 481.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 482
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 482.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 483
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 483.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 484
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 484.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 485
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 485.5
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 486
## Standardized standard error: 0.039
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 486.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 487
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 487.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 488
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 488.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 489
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 489.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 490
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 490.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 491
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 491.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 492
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 492.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 493
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 493.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 494
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 494.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 495
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 495.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 496
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 496.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 497
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 497.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 498
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 0.999
## ---------------------------------------
## Degrees of freedom: 498.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0.001
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 499
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 499.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 500
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 500.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 501
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 501.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 502
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 502.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 503
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 503.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 504
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 504.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 505
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 505.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 506
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 506.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 507
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 507.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 508
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 508.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 509
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 509.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 510
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 510.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 511
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 511.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 512
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 512.5
## Standardized standard error: 0.038
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 513
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 513.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 514
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 514.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 515
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 515.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 516
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 516.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 517
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 517.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 518
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 518.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 519
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 519.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 520
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 520.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 521
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 521.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 522
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 522.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 523
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 523.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 524
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 524.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 525
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 525.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 526
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 526.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 527
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 527.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 528
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 528.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 529
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 529.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 530
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 530.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 531
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 531.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 532
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 532.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 533
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 533.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 534
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 534.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 535
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 535.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 536
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 536.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 537
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 537.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 538
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 538.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 539
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 539.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 540
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 540.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 541
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 541.5
## Standardized standard error: 0.037
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 542
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 542.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 543
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 543.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 544
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 544.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 545
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 545.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 546
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 546.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 547
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 547.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 548
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 548.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 549
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 549.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 550
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 550.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 551
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 551.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 552
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 552.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 553
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 553.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 554
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 554.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 555
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 555.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 556
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 556.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 557
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 557.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 558
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 558.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 559
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 559.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 560
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 560.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 561
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 561.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 562
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 562.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 563
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 563.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 564
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 564.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 565
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 565.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 566
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 566.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 567
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 567.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 568
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 568.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 569
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 569.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 570
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 570.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 571
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 571.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 572
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 572.5
## Standardized standard error: 0.036
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 573
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 573.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 574
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 574.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 575
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 575.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 576
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 576.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 577
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 577.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 578
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 578.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 579
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 579.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 580
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 580.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 581
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 581.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 582
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 582.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 583
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 583.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 584
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 584.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 585
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 585.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 586
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 586.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 587
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 587.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 588
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 588.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 589
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 589.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 590
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 590.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 591
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 591.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 592
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 592.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 593
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 593.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 594
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 594.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 595
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 595.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 596
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 596.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 597
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 597.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 598
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 598.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 599
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 599.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 600
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 600.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 601
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 601.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 602
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 602.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 603
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 603.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 604
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 604.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 605
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 605.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 606
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 606.5
## Standardized standard error: 0.035
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 607
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 607.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 608
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 608.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 609
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 609.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 610
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 610.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 611
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 611.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 612
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 612.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 613
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 613.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 614
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 614.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 615
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 615.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 616
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 616.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 617
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 617.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 618
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 618.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 619
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 619.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 620
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 620.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 621
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 621.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 622
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 622.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 623
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 623.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 624
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 624.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 625
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 625.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 626
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 626.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 627
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 627.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 628
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 628.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 629
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 629.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 630
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 630.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 631
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 631.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 632
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 632.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 633
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 633.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 634
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 634.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 635
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 635.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 636
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 636.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 637
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 637.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 638
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 638.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 639
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 639.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 640
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 640.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 641
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 641.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 642
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 642.5
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 643
## Standardized standard error: 0.034
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 643.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 644
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 644.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 645
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 645.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 646
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 646.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 647
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 647.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 648
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 648.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 649
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 649.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 650
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 650.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 651
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 651.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 652
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 652.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 653
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 653.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 654
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 654.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 655
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 655.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 656
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 656.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 657
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 657.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 658
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 658.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 659
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 659.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 660
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 660.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 661
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 661.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 662
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 662.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 663
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 663.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 664
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 664.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 665
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 665.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 666
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 666.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 667
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 667.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 668
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 668.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 669
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 669.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 670
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 670.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 671
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 671.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 672
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 672.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 673
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 673.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 674
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 674.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 675
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 675.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 676
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 676.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 677
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 677.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 678
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 678.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 679
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 679.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 680
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 680.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 681
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 681.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 682
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 682.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 683
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 683.5
## Standardized standard error: 0.033
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 684
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 684.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 685
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 685.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 686
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 686.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 687
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 687.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 688
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 688.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 689
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 689.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 690
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 690.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 691
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 691.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 692
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 692.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 693
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 693.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 694
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 694.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 695
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 695.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 696
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 696.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 697
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 697.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 698
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 698.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 699
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 699.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 700
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 700.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 701
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 701.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 702
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 702.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 703
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 703.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 704
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 704.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 705
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 705.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 706
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 706.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 707
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 707.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 708
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 708.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 709
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 709.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 710
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 710.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 711
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 711.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 712
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 712.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 713
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 713.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 714
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 714.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 715
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 715.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 716
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 716.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 717
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 717.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 718
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 718.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 719
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 719.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 720
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 720.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 721
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 721.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 722
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 722.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 723
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 723.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 724
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 724.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 725
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 725.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 726
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 726.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 727
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 727.5
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 728
## Standardized standard error: 0.032
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 728.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 729
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 729.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 730
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 730.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 731
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 731.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 732
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 732.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 733
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 733.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 734
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 734.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 735
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 735.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 736
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 736.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 737
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 737.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 738
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 738.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 739
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 739.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 740
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 740.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 741
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 741.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 742
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 742.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 743
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 743.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 744
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 744.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 745
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 745.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 746
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 746.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 747
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 747.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 748
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 748.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 749
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 749.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 750
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 750.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 751
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 751.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 752
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 752.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 753
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 753.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 754
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 754.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 755
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 755.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 756
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 756.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 757
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 757.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 758
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 758.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 759
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 759.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 760
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 760.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 761
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 761.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 762
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 762.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 763
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 763.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 764
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 764.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 765
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 765.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 766
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 766.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 767
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 767.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 768
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 768.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 769
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 769.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 770
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 770.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 771
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 771.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 772
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 772.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 773
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 773.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 774
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 774.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 775
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 775.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 776
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 776.5
## Standardized standard error: 0.031
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 777
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 777.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 778
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 778.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 779
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 779.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 780
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 780.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 781
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 781.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 782
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 782.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 783
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 783.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 784
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 784.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 785
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 785.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 786
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 786.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 787
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 787.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 788
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 788.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 789
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 789.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 790
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 790.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 791
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 791.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 792
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 792.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 793
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 793.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 794
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 794.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 795
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 795.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 796
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 796.5
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment design
##
## CAUTION: Ignoring argument(s): 'dists' 'k1' 'k2' 'interaction' 'treat.lower' 'cutoff'
##
## Statistical power:
## ---------------------------------------
## 1
## ---------------------------------------
## Degrees of freedom: 797
## Standardized standard error: 0.03
## Type I error rate: 0.05
## Type II error rate: 0
## Two-tailed test: TRUE
## ---------------------------------------
## Random assignment designplot(crd1, ypar = "power", xpar = "n2",
ylim = c(.10, .85), xlim = c(10, 800),
ylab = "Power (for ES = .20)", xlab = "Number of Clusters",
main = expression(CRD(S + TS)), locate = TRUE)##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.066
## ---------------------------------------
## Degrees of freedom: 5
## Standardized standard error: 0.438
## Type I error rate: 0.05
## Type II error rate: 0.934
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.068
## ---------------------------------------
## Degrees of freedom: 5.5
## Standardized standard error: 0.428
## Type I error rate: 0.05
## Type II error rate: 0.932
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.069
## ---------------------------------------
## Degrees of freedom: 6
## Standardized standard error: 0.418
## Type I error rate: 0.05
## Type II error rate: 0.931
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.071
## ---------------------------------------
## Degrees of freedom: 6.5
## Standardized standard error: 0.409
## Type I error rate: 0.05
## Type II error rate: 0.929
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.072
## ---------------------------------------
## Degrees of freedom: 7
## Standardized standard error: 0.4
## Type I error rate: 0.05
## Type II error rate: 0.928
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.073
## ---------------------------------------
## Degrees of freedom: 7.5
## Standardized standard error: 0.392
## Type I error rate: 0.05
## Type II error rate: 0.927
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.075
## ---------------------------------------
## Degrees of freedom: 8
## Standardized standard error: 0.384
## Type I error rate: 0.05
## Type II error rate: 0.925
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.076
## ---------------------------------------
## Degrees of freedom: 8.5
## Standardized standard error: 0.377
## Type I error rate: 0.05
## Type II error rate: 0.924
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.077
## ---------------------------------------
## Degrees of freedom: 9
## Standardized standard error: 0.37
## Type I error rate: 0.05
## Type II error rate: 0.923
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.079
## ---------------------------------------
## Degrees of freedom: 9.5
## Standardized standard error: 0.364
## Type I error rate: 0.05
## Type II error rate: 0.921
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.08
## ---------------------------------------
## Degrees of freedom: 10
## Standardized standard error: 0.358
## Type I error rate: 0.05
## Type II error rate: 0.92
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.081
## ---------------------------------------
## Degrees of freedom: 10.5
## Standardized standard error: 0.352
## Type I error rate: 0.05
## Type II error rate: 0.919
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.083
## ---------------------------------------
## Degrees of freedom: 11
## Standardized standard error: 0.346
## Type I error rate: 0.05
## Type II error rate: 0.917
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.084
## ---------------------------------------
## Degrees of freedom: 11.5
## Standardized standard error: 0.341
## Type I error rate: 0.05
## Type II error rate: 0.916
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.085
## ---------------------------------------
## Degrees of freedom: 12
## Standardized standard error: 0.336
## Type I error rate: 0.05
## Type II error rate: 0.915
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.086
## ---------------------------------------
## Degrees of freedom: 12.5
## Standardized standard error: 0.331
## Type I error rate: 0.05
## Type II error rate: 0.914
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.088
## ---------------------------------------
## Degrees of freedom: 13
## Standardized standard error: 0.327
## Type I error rate: 0.05
## Type II error rate: 0.912
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.089
## ---------------------------------------
## Degrees of freedom: 13.5
## Standardized standard error: 0.322
## Type I error rate: 0.05
## Type II error rate: 0.911
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.09
## ---------------------------------------
## Degrees of freedom: 14
## Standardized standard error: 0.318
## Type I error rate: 0.05
## Type II error rate: 0.91
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.092
## ---------------------------------------
## Degrees of freedom: 14.5
## Standardized standard error: 0.314
## Type I error rate: 0.05
## Type II error rate: 0.908
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.093
## ---------------------------------------
## Degrees of freedom: 15
## Standardized standard error: 0.31
## Type I error rate: 0.05
## Type II error rate: 0.907
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.094
## ---------------------------------------
## Degrees of freedom: 15.5
## Standardized standard error: 0.306
## Type I error rate: 0.05
## Type II error rate: 0.906
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.095
## ---------------------------------------
## Degrees of freedom: 16
## Standardized standard error: 0.302
## Type I error rate: 0.05
## Type II error rate: 0.905
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.097
## ---------------------------------------
## Degrees of freedom: 16.5
## Standardized standard error: 0.299
## Type I error rate: 0.05
## Type II error rate: 0.903
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.098
## ---------------------------------------
## Degrees of freedom: 17
## Standardized standard error: 0.295
## Type I error rate: 0.05
## Type II error rate: 0.902
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.099
## ---------------------------------------
## Degrees of freedom: 17.5
## Standardized standard error: 0.292
## Type I error rate: 0.05
## Type II error rate: 0.901
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.101
## ---------------------------------------
## Degrees of freedom: 18
## Standardized standard error: 0.289
## Type I error rate: 0.05
## Type II error rate: 0.899
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.102
## ---------------------------------------
## Degrees of freedom: 18.5
## Standardized standard error: 0.286
## Type I error rate: 0.05
## Type II error rate: 0.898
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.103
## ---------------------------------------
## Degrees of freedom: 19
## Standardized standard error: 0.283
## Type I error rate: 0.05
## Type II error rate: 0.897
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.104
## ---------------------------------------
## Degrees of freedom: 19.5
## Standardized standard error: 0.28
## Type I error rate: 0.05
## Type II error rate: 0.896
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.106
## ---------------------------------------
## Degrees of freedom: 20
## Standardized standard error: 0.277
## Type I error rate: 0.05
## Type II error rate: 0.894
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.107
## ---------------------------------------
## Degrees of freedom: 20.5
## Standardized standard error: 0.274
## Type I error rate: 0.05
## Type II error rate: 0.893
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.108
## ---------------------------------------
## Degrees of freedom: 21
## Standardized standard error: 0.272
## Type I error rate: 0.05
## Type II error rate: 0.892
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.109
## ---------------------------------------
## Degrees of freedom: 21.5
## Standardized standard error: 0.269
## Type I error rate: 0.05
## Type II error rate: 0.891
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.111
## ---------------------------------------
## Degrees of freedom: 22
## Standardized standard error: 0.267
## Type I error rate: 0.05
## Type II error rate: 0.889
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.112
## ---------------------------------------
## Degrees of freedom: 22.5
## Standardized standard error: 0.264
## Type I error rate: 0.05
## Type II error rate: 0.888
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.113
## ---------------------------------------
## Degrees of freedom: 23
## Standardized standard error: 0.262
## Type I error rate: 0.05
## Type II error rate: 0.887
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.115
## ---------------------------------------
## Degrees of freedom: 23.5
## Standardized standard error: 0.26
## Type I error rate: 0.05
## Type II error rate: 0.885
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.116
## ---------------------------------------
## Degrees of freedom: 24
## Standardized standard error: 0.257
## Type I error rate: 0.05
## Type II error rate: 0.884
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.117
## ---------------------------------------
## Degrees of freedom: 24.5
## Standardized standard error: 0.255
## Type I error rate: 0.05
## Type II error rate: 0.883
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.118
## ---------------------------------------
## Degrees of freedom: 25
## Standardized standard error: 0.253
## Type I error rate: 0.05
## Type II error rate: 0.882
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.12
## ---------------------------------------
## Degrees of freedom: 25.5
## Standardized standard error: 0.251
## Type I error rate: 0.05
## Type II error rate: 0.88
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.121
## ---------------------------------------
## Degrees of freedom: 26
## Standardized standard error: 0.249
## Type I error rate: 0.05
## Type II error rate: 0.879
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.122
## ---------------------------------------
## Degrees of freedom: 26.5
## Standardized standard error: 0.247
## Type I error rate: 0.05
## Type II error rate: 0.878
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.124
## ---------------------------------------
## Degrees of freedom: 27
## Standardized standard error: 0.245
## Type I error rate: 0.05
## Type II error rate: 0.876
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.125
## ---------------------------------------
## Degrees of freedom: 27.5
## Standardized standard error: 0.243
## Type I error rate: 0.05
## Type II error rate: 0.875
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.126
## ---------------------------------------
## Degrees of freedom: 28
## Standardized standard error: 0.241
## Type I error rate: 0.05
## Type II error rate: 0.874
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.127
## ---------------------------------------
## Degrees of freedom: 28.5
## Standardized standard error: 0.239
## Type I error rate: 0.05
## Type II error rate: 0.873
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.129
## ---------------------------------------
## Degrees of freedom: 29
## Standardized standard error: 0.238
## Type I error rate: 0.05
## Type II error rate: 0.871
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.13
## ---------------------------------------
## Degrees of freedom: 29.5
## Standardized standard error: 0.236
## Type I error rate: 0.05
## Type II error rate: 0.87
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.131
## ---------------------------------------
## Degrees of freedom: 30
## Standardized standard error: 0.234
## Type I error rate: 0.05
## Type II error rate: 0.869
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.132
## ---------------------------------------
## Degrees of freedom: 30.5
## Standardized standard error: 0.233
## Type I error rate: 0.05
## Type II error rate: 0.868
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.134
## ---------------------------------------
## Degrees of freedom: 31
## Standardized standard error: 0.231
## Type I error rate: 0.05
## Type II error rate: 0.866
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.135
## ---------------------------------------
## Degrees of freedom: 31.5
## Standardized standard error: 0.229
## Type I error rate: 0.05
## Type II error rate: 0.865
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.136
## ---------------------------------------
## Degrees of freedom: 32
## Standardized standard error: 0.228
## Type I error rate: 0.05
## Type II error rate: 0.864
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.138
## ---------------------------------------
## Degrees of freedom: 32.5
## Standardized standard error: 0.226
## Type I error rate: 0.05
## Type II error rate: 0.862
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.139
## ---------------------------------------
## Degrees of freedom: 33
## Standardized standard error: 0.225
## Type I error rate: 0.05
## Type II error rate: 0.861
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.14
## ---------------------------------------
## Degrees of freedom: 33.5
## Standardized standard error: 0.223
## Type I error rate: 0.05
## Type II error rate: 0.86
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.141
## ---------------------------------------
## Degrees of freedom: 34
## Standardized standard error: 0.222
## Type I error rate: 0.05
## Type II error rate: 0.859
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.143
## ---------------------------------------
## Degrees of freedom: 34.5
## Standardized standard error: 0.221
## Type I error rate: 0.05
## Type II error rate: 0.857
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.144
## ---------------------------------------
## Degrees of freedom: 35
## Standardized standard error: 0.219
## Type I error rate: 0.05
## Type II error rate: 0.856
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.145
## ---------------------------------------
## Degrees of freedom: 35.5
## Standardized standard error: 0.218
## Type I error rate: 0.05
## Type II error rate: 0.855
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.147
## ---------------------------------------
## Degrees of freedom: 36
## Standardized standard error: 0.216
## Type I error rate: 0.05
## Type II error rate: 0.853
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.148
## ---------------------------------------
## Degrees of freedom: 36.5
## Standardized standard error: 0.215
## Type I error rate: 0.05
## Type II error rate: 0.852
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.149
## ---------------------------------------
## Degrees of freedom: 37
## Standardized standard error: 0.214
## Type I error rate: 0.05
## Type II error rate: 0.851
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.15
## ---------------------------------------
## Degrees of freedom: 37.5
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.85
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.152
## ---------------------------------------
## Degrees of freedom: 38
## Standardized standard error: 0.211
## Type I error rate: 0.05
## Type II error rate: 0.848
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.153
## ---------------------------------------
## Degrees of freedom: 38.5
## Standardized standard error: 0.21
## Type I error rate: 0.05
## Type II error rate: 0.847
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.154
## ---------------------------------------
## Degrees of freedom: 39
## Standardized standard error: 0.209
## Type I error rate: 0.05
## Type II error rate: 0.846
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.156
## ---------------------------------------
## Degrees of freedom: 39.5
## Standardized standard error: 0.208
## Type I error rate: 0.05
## Type II error rate: 0.844
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.157
## ---------------------------------------
## Degrees of freedom: 40
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.843
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.158
## ---------------------------------------
## Degrees of freedom: 40.5
## Standardized standard error: 0.205
## Type I error rate: 0.05
## Type II error rate: 0.842
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.159
## ---------------------------------------
## Degrees of freedom: 41
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.841
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.161
## ---------------------------------------
## Degrees of freedom: 41.5
## Standardized standard error: 0.203
## Type I error rate: 0.05
## Type II error rate: 0.839
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.162
## ---------------------------------------
## Degrees of freedom: 42
## Standardized standard error: 0.202
## Type I error rate: 0.05
## Type II error rate: 0.838
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.163
## ---------------------------------------
## Degrees of freedom: 42.5
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.837
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.165
## ---------------------------------------
## Degrees of freedom: 43
## Standardized standard error: 0.2
## Type I error rate: 0.05
## Type II error rate: 0.835
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.166
## ---------------------------------------
## Degrees of freedom: 43.5
## Standardized standard error: 0.199
## Type I error rate: 0.05
## Type II error rate: 0.834
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.167
## ---------------------------------------
## Degrees of freedom: 44
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.833
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.168
## ---------------------------------------
## Degrees of freedom: 44.5
## Standardized standard error: 0.197
## Type I error rate: 0.05
## Type II error rate: 0.832
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.17
## ---------------------------------------
## Degrees of freedom: 45
## Standardized standard error: 0.196
## Type I error rate: 0.05
## Type II error rate: 0.83
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.171
## ---------------------------------------
## Degrees of freedom: 45.5
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.829
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.172
## ---------------------------------------
## Degrees of freedom: 46
## Standardized standard error: 0.194
## Type I error rate: 0.05
## Type II error rate: 0.828
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.174
## ---------------------------------------
## Degrees of freedom: 46.5
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.826
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.175
## ---------------------------------------
## Degrees of freedom: 47
## Standardized standard error: 0.192
## Type I error rate: 0.05
## Type II error rate: 0.825
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.176
## ---------------------------------------
## Degrees of freedom: 47.5
## Standardized standard error: 0.191
## Type I error rate: 0.05
## Type II error rate: 0.824
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.178
## ---------------------------------------
## Degrees of freedom: 48
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.822
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.179
## ---------------------------------------
## Degrees of freedom: 48.5
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.821
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.18
## ---------------------------------------
## Degrees of freedom: 49
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.82
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.181
## ---------------------------------------
## Degrees of freedom: 49.5
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.819
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.183
## ---------------------------------------
## Degrees of freedom: 50
## Standardized standard error: 0.187
## Type I error rate: 0.05
## Type II error rate: 0.817
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.184
## ---------------------------------------
## Degrees of freedom: 50.5
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.816
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.185
## ---------------------------------------
## Degrees of freedom: 51
## Standardized standard error: 0.185
## Type I error rate: 0.05
## Type II error rate: 0.815
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.187
## ---------------------------------------
## Degrees of freedom: 51.5
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.813
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.188
## ---------------------------------------
## Degrees of freedom: 52
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.812
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.189
## ---------------------------------------
## Degrees of freedom: 52.5
## Standardized standard error: 0.183
## Type I error rate: 0.05
## Type II error rate: 0.811
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.19
## ---------------------------------------
## Degrees of freedom: 53
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.81
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.192
## ---------------------------------------
## Degrees of freedom: 53.5
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.808
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.193
## ---------------------------------------
## Degrees of freedom: 54
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.807
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.194
## ---------------------------------------
## Degrees of freedom: 54.5
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.806
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.196
## ---------------------------------------
## Degrees of freedom: 55
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.804
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.197
## ---------------------------------------
## Degrees of freedom: 55.5
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.803
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.198
## ---------------------------------------
## Degrees of freedom: 56
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.802
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.199
## ---------------------------------------
## Degrees of freedom: 56.5
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.801
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.201
## ---------------------------------------
## Degrees of freedom: 57
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.799
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.202
## ---------------------------------------
## Degrees of freedom: 57.5
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.798
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.203
## ---------------------------------------
## Degrees of freedom: 58
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.797
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.205
## ---------------------------------------
## Degrees of freedom: 58.5
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.795
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.206
## ---------------------------------------
## Degrees of freedom: 59
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.794
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.207
## ---------------------------------------
## Degrees of freedom: 59.5
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.793
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.208
## ---------------------------------------
## Degrees of freedom: 60
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.792
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.21
## ---------------------------------------
## Degrees of freedom: 60.5
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.79
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.211
## ---------------------------------------
## Degrees of freedom: 61
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.789
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.212
## ---------------------------------------
## Degrees of freedom: 61.5
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.788
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.214
## ---------------------------------------
## Degrees of freedom: 62
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.786
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.215
## ---------------------------------------
## Degrees of freedom: 62.5
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.785
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.216
## ---------------------------------------
## Degrees of freedom: 63
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.784
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.217
## ---------------------------------------
## Degrees of freedom: 63.5
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.783
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.219
## ---------------------------------------
## Degrees of freedom: 64
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.781
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.22
## ---------------------------------------
## Degrees of freedom: 64.5
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.78
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.221
## ---------------------------------------
## Degrees of freedom: 65
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.779
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.223
## ---------------------------------------
## Degrees of freedom: 65.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.777
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.224
## ---------------------------------------
## Degrees of freedom: 66
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.776
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.225
## ---------------------------------------
## Degrees of freedom: 66.5
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.775
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.227
## ---------------------------------------
## Degrees of freedom: 67
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.773
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.228
## ---------------------------------------
## Degrees of freedom: 67.5
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.772
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.229
## ---------------------------------------
## Degrees of freedom: 68
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.771
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.23
## ---------------------------------------
## Degrees of freedom: 68.5
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.77
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.232
## ---------------------------------------
## Degrees of freedom: 69
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.768
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.233
## ---------------------------------------
## Degrees of freedom: 69.5
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.767
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.234
## ---------------------------------------
## Degrees of freedom: 70
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.766
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.236
## ---------------------------------------
## Degrees of freedom: 70.5
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.764
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.237
## ---------------------------------------
## Degrees of freedom: 71
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.763
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.238
## ---------------------------------------
## Degrees of freedom: 71.5
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.762
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.239
## ---------------------------------------
## Degrees of freedom: 72
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.761
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.241
## ---------------------------------------
## Degrees of freedom: 72.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.759
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.242
## ---------------------------------------
## Degrees of freedom: 73
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.758
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.243
## ---------------------------------------
## Degrees of freedom: 73.5
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.757
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.245
## ---------------------------------------
## Degrees of freedom: 74
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.755
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.246
## ---------------------------------------
## Degrees of freedom: 74.5
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.754
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.247
## ---------------------------------------
## Degrees of freedom: 75
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.753
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.248
## ---------------------------------------
## Degrees of freedom: 75.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.752
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.25
## ---------------------------------------
## Degrees of freedom: 76
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.75
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.251
## ---------------------------------------
## Degrees of freedom: 76.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.749
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.252
## ---------------------------------------
## Degrees of freedom: 77
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.748
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.253
## ---------------------------------------
## Degrees of freedom: 77.5
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.747
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.255
## ---------------------------------------
## Degrees of freedom: 78
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.745
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.256
## ---------------------------------------
## Degrees of freedom: 78.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.744
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.257
## ---------------------------------------
## Degrees of freedom: 79
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.743
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.259
## ---------------------------------------
## Degrees of freedom: 79.5
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.741
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.26
## ---------------------------------------
## Degrees of freedom: 80
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.74
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.261
## ---------------------------------------
## Degrees of freedom: 80.5
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.739
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.262
## ---------------------------------------
## Degrees of freedom: 81
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.738
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.264
## ---------------------------------------
## Degrees of freedom: 81.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.736
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.265
## ---------------------------------------
## Degrees of freedom: 82
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.735
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.266
## ---------------------------------------
## Degrees of freedom: 82.5
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.734
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.268
## ---------------------------------------
## Degrees of freedom: 83
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.732
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.269
## ---------------------------------------
## Degrees of freedom: 83.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.731
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.27
## ---------------------------------------
## Degrees of freedom: 84
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.73
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.271
## ---------------------------------------
## Degrees of freedom: 84.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.729
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.273
## ---------------------------------------
## Degrees of freedom: 85
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.727
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.274
## ---------------------------------------
## Degrees of freedom: 85.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.726
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.275
## ---------------------------------------
## Degrees of freedom: 86
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.725
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.276
## ---------------------------------------
## Degrees of freedom: 86.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.724
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.278
## ---------------------------------------
## Degrees of freedom: 87
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.722
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.279
## ---------------------------------------
## Degrees of freedom: 87.5
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.721
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.28
## ---------------------------------------
## Degrees of freedom: 88
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.72
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.281
## ---------------------------------------
## Degrees of freedom: 88.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.719
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.283
## ---------------------------------------
## Degrees of freedom: 89
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.717
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.284
## ---------------------------------------
## Degrees of freedom: 89.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.716
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.285
## ---------------------------------------
## Degrees of freedom: 90
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.715
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.287
## ---------------------------------------
## Degrees of freedom: 90.5
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.713
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.288
## ---------------------------------------
## Degrees of freedom: 91
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.712
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.289
## ---------------------------------------
## Degrees of freedom: 91.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.711
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.29
## ---------------------------------------
## Degrees of freedom: 92
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.71
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.292
## ---------------------------------------
## Degrees of freedom: 92.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.708
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.293
## ---------------------------------------
## Degrees of freedom: 93
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.707
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.294
## ---------------------------------------
## Degrees of freedom: 93.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.706
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.295
## ---------------------------------------
## Degrees of freedom: 94
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.705
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.297
## ---------------------------------------
## Degrees of freedom: 94.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.703
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.298
## ---------------------------------------
## Degrees of freedom: 95
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.702
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.299
## ---------------------------------------
## Degrees of freedom: 95.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.701
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.3
## ---------------------------------------
## Degrees of freedom: 96
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.7
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.302
## ---------------------------------------
## Degrees of freedom: 96.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.698
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.303
## ---------------------------------------
## Degrees of freedom: 97
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.697
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.304
## ---------------------------------------
## Degrees of freedom: 97.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.696
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.305
## ---------------------------------------
## Degrees of freedom: 98
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.695
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.307
## ---------------------------------------
## Degrees of freedom: 98.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.693
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.308
## ---------------------------------------
## Degrees of freedom: 99
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.692
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.309
## ---------------------------------------
## Degrees of freedom: 99.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.691
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.31
## ---------------------------------------
## Degrees of freedom: 100
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.69
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.312
## ---------------------------------------
## Degrees of freedom: 100.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.688
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.313
## ---------------------------------------
## Degrees of freedom: 101
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.687
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.314
## ---------------------------------------
## Degrees of freedom: 101.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.686
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.315
## ---------------------------------------
## Degrees of freedom: 102
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.685
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.317
## ---------------------------------------
## Degrees of freedom: 102.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.683
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.318
## ---------------------------------------
## Degrees of freedom: 103
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.682
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.319
## ---------------------------------------
## Degrees of freedom: 103.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.681
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.32
## ---------------------------------------
## Degrees of freedom: 104
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.68
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.322
## ---------------------------------------
## Degrees of freedom: 104.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.678
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.323
## ---------------------------------------
## Degrees of freedom: 105
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.677
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.324
## ---------------------------------------
## Degrees of freedom: 105.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.676
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.325
## ---------------------------------------
## Degrees of freedom: 106
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.675
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.327
## ---------------------------------------
## Degrees of freedom: 106.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.673
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.328
## ---------------------------------------
## Degrees of freedom: 107
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.672
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.329
## ---------------------------------------
## Degrees of freedom: 107.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.671
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.33
## ---------------------------------------
## Degrees of freedom: 108
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.67
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.332
## ---------------------------------------
## Degrees of freedom: 108.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.668
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.333
## ---------------------------------------
## Degrees of freedom: 109
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.667
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.334
## ---------------------------------------
## Degrees of freedom: 109.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.666
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.335
## ---------------------------------------
## Degrees of freedom: 110
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.665
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.337
## ---------------------------------------
## Degrees of freedom: 110.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.663
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.338
## ---------------------------------------
## Degrees of freedom: 111
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.662
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.339
## ---------------------------------------
## Degrees of freedom: 111.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.661
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.34
## ---------------------------------------
## Degrees of freedom: 112
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.66
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.341
## ---------------------------------------
## Degrees of freedom: 112.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.659
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.343
## ---------------------------------------
## Degrees of freedom: 113
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.657
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.344
## ---------------------------------------
## Degrees of freedom: 113.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.656
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.345
## ---------------------------------------
## Degrees of freedom: 114
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.655
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.346
## ---------------------------------------
## Degrees of freedom: 114.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.654
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.348
## ---------------------------------------
## Degrees of freedom: 115
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.652
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.349
## ---------------------------------------
## Degrees of freedom: 115.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.651
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.35
## ---------------------------------------
## Degrees of freedom: 116
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.65
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.351
## ---------------------------------------
## Degrees of freedom: 116.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.649
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.353
## ---------------------------------------
## Degrees of freedom: 117
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.647
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.354
## ---------------------------------------
## Degrees of freedom: 117.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.646
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.355
## ---------------------------------------
## Degrees of freedom: 118
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.645
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.356
## ---------------------------------------
## Degrees of freedom: 118.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.644
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.357
## ---------------------------------------
## Degrees of freedom: 119
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.643
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.359
## ---------------------------------------
## Degrees of freedom: 119.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.641
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.36
## ---------------------------------------
## Degrees of freedom: 120
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.64
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.361
## ---------------------------------------
## Degrees of freedom: 120.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.639
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.362
## ---------------------------------------
## Degrees of freedom: 121
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.638
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.363
## ---------------------------------------
## Degrees of freedom: 121.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.637
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.365
## ---------------------------------------
## Degrees of freedom: 122
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.635
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.366
## ---------------------------------------
## Degrees of freedom: 122.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.634
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.367
## ---------------------------------------
## Degrees of freedom: 123
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.633
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.368
## ---------------------------------------
## Degrees of freedom: 123.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.632
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.37
## ---------------------------------------
## Degrees of freedom: 124
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.63
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.371
## ---------------------------------------
## Degrees of freedom: 124.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.629
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.372
## ---------------------------------------
## Degrees of freedom: 125
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.628
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.373
## ---------------------------------------
## Degrees of freedom: 125.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.627
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.374
## ---------------------------------------
## Degrees of freedom: 126
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.626
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.376
## ---------------------------------------
## Degrees of freedom: 126.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.624
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.377
## ---------------------------------------
## Degrees of freedom: 127
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.623
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.378
## ---------------------------------------
## Degrees of freedom: 127.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.622
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.379
## ---------------------------------------
## Degrees of freedom: 128
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.621
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.38
## ---------------------------------------
## Degrees of freedom: 128.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.62
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.382
## ---------------------------------------
## Degrees of freedom: 129
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.618
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.383
## ---------------------------------------
## Degrees of freedom: 129.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.617
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.384
## ---------------------------------------
## Degrees of freedom: 130
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.616
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.385
## ---------------------------------------
## Degrees of freedom: 130.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.615
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.386
## ---------------------------------------
## Degrees of freedom: 131
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.614
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.387
## ---------------------------------------
## Degrees of freedom: 131.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.613
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.389
## ---------------------------------------
## Degrees of freedom: 132
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.611
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.39
## ---------------------------------------
## Degrees of freedom: 132.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.61
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.391
## ---------------------------------------
## Degrees of freedom: 133
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.609
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.392
## ---------------------------------------
## Degrees of freedom: 133.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.608
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.393
## ---------------------------------------
## Degrees of freedom: 134
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.607
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.395
## ---------------------------------------
## Degrees of freedom: 134.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.605
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.396
## ---------------------------------------
## Degrees of freedom: 135
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.604
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.397
## ---------------------------------------
## Degrees of freedom: 135.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.603
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.398
## ---------------------------------------
## Degrees of freedom: 136
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.602
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.399
## ---------------------------------------
## Degrees of freedom: 136.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.601
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.401
## ---------------------------------------
## Degrees of freedom: 137
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.599
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.402
## ---------------------------------------
## Degrees of freedom: 137.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.598
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.403
## ---------------------------------------
## Degrees of freedom: 138
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.597
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.404
## ---------------------------------------
## Degrees of freedom: 138.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.596
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.405
## ---------------------------------------
## Degrees of freedom: 139
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.595
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.406
## ---------------------------------------
## Degrees of freedom: 139.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.594
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.408
## ---------------------------------------
## Degrees of freedom: 140
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.592
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.409
## ---------------------------------------
## Degrees of freedom: 140.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.591
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.41
## ---------------------------------------
## Degrees of freedom: 141
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.59
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.411
## ---------------------------------------
## Degrees of freedom: 141.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.589
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.412
## ---------------------------------------
## Degrees of freedom: 142
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.588
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.413
## ---------------------------------------
## Degrees of freedom: 142.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.587
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.415
## ---------------------------------------
## Degrees of freedom: 143
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.585
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.416
## ---------------------------------------
## Degrees of freedom: 143.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.584
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.417
## ---------------------------------------
## Degrees of freedom: 144
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.583
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.418
## ---------------------------------------
## Degrees of freedom: 144.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.582
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.419
## ---------------------------------------
## Degrees of freedom: 145
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.581
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.42
## ---------------------------------------
## Degrees of freedom: 145.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.58
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.422
## ---------------------------------------
## Degrees of freedom: 146
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.578
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.423
## ---------------------------------------
## Degrees of freedom: 146.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.577
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.424
## ---------------------------------------
## Degrees of freedom: 147
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.576
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.425
## ---------------------------------------
## Degrees of freedom: 147.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.575
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.426
## ---------------------------------------
## Degrees of freedom: 148
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.574
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.427
## ---------------------------------------
## Degrees of freedom: 148.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.573
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.428
## ---------------------------------------
## Degrees of freedom: 149
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.572
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.43
## ---------------------------------------
## Degrees of freedom: 149.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.57
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.431
## ---------------------------------------
## Degrees of freedom: 150
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.569
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.432
## ---------------------------------------
## Degrees of freedom: 150.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.568
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.433
## ---------------------------------------
## Degrees of freedom: 151
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.567
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.434
## ---------------------------------------
## Degrees of freedom: 151.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.566
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.435
## ---------------------------------------
## Degrees of freedom: 152
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.565
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.436
## ---------------------------------------
## Degrees of freedom: 152.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.564
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.438
## ---------------------------------------
## Degrees of freedom: 153
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.562
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.439
## ---------------------------------------
## Degrees of freedom: 153.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.561
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.44
## ---------------------------------------
## Degrees of freedom: 154
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.56
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.441
## ---------------------------------------
## Degrees of freedom: 154.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.559
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.442
## ---------------------------------------
## Degrees of freedom: 155
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.558
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.443
## ---------------------------------------
## Degrees of freedom: 155.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.557
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.444
## ---------------------------------------
## Degrees of freedom: 156
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.556
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.445
## ---------------------------------------
## Degrees of freedom: 156.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.555
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.447
## ---------------------------------------
## Degrees of freedom: 157
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.553
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.448
## ---------------------------------------
## Degrees of freedom: 157.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.552
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.449
## ---------------------------------------
## Degrees of freedom: 158
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.551
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.45
## ---------------------------------------
## Degrees of freedom: 158.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.55
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.451
## ---------------------------------------
## Degrees of freedom: 159
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.549
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.452
## ---------------------------------------
## Degrees of freedom: 159.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.548
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.453
## ---------------------------------------
## Degrees of freedom: 160
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.547
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.454
## ---------------------------------------
## Degrees of freedom: 160.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.546
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.456
## ---------------------------------------
## Degrees of freedom: 161
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.544
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.457
## ---------------------------------------
## Degrees of freedom: 161.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.543
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.458
## ---------------------------------------
## Degrees of freedom: 162
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.542
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.459
## ---------------------------------------
## Degrees of freedom: 162.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.541
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.46
## ---------------------------------------
## Degrees of freedom: 163
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.54
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.461
## ---------------------------------------
## Degrees of freedom: 163.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.539
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.462
## ---------------------------------------
## Degrees of freedom: 164
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.538
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.463
## ---------------------------------------
## Degrees of freedom: 164.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.537
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.464
## ---------------------------------------
## Degrees of freedom: 165
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.536
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.466
## ---------------------------------------
## Degrees of freedom: 165.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.534
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.467
## ---------------------------------------
## Degrees of freedom: 166
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.533
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.468
## ---------------------------------------
## Degrees of freedom: 166.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.532
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.469
## ---------------------------------------
## Degrees of freedom: 167
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.531
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.47
## ---------------------------------------
## Degrees of freedom: 167.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.53
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.471
## ---------------------------------------
## Degrees of freedom: 168
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.529
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.472
## ---------------------------------------
## Degrees of freedom: 168.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.528
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.473
## ---------------------------------------
## Degrees of freedom: 169
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.527
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.474
## ---------------------------------------
## Degrees of freedom: 169.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.526
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.475
## ---------------------------------------
## Degrees of freedom: 170
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.525
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.477
## ---------------------------------------
## Degrees of freedom: 170.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.523
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.478
## ---------------------------------------
## Degrees of freedom: 171
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.522
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.479
## ---------------------------------------
## Degrees of freedom: 171.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.521
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.48
## ---------------------------------------
## Degrees of freedom: 172
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.52
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.481
## ---------------------------------------
## Degrees of freedom: 172.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.519
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.482
## ---------------------------------------
## Degrees of freedom: 173
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.518
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.483
## ---------------------------------------
## Degrees of freedom: 173.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.517
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.484
## ---------------------------------------
## Degrees of freedom: 174
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.516
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.485
## ---------------------------------------
## Degrees of freedom: 174.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.515
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.486
## ---------------------------------------
## Degrees of freedom: 175
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.514
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.487
## ---------------------------------------
## Degrees of freedom: 175.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.513
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.488
## ---------------------------------------
## Degrees of freedom: 176
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.512
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.49
## ---------------------------------------
## Degrees of freedom: 176.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.51
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.491
## ---------------------------------------
## Degrees of freedom: 177
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.509
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.492
## ---------------------------------------
## Degrees of freedom: 177.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.508
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.493
## ---------------------------------------
## Degrees of freedom: 178
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.507
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.494
## ---------------------------------------
## Degrees of freedom: 178.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.506
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.495
## ---------------------------------------
## Degrees of freedom: 179
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.505
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.496
## ---------------------------------------
## Degrees of freedom: 179.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.504
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.497
## ---------------------------------------
## Degrees of freedom: 180
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.503
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.498
## ---------------------------------------
## Degrees of freedom: 180.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.502
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.499
## ---------------------------------------
## Degrees of freedom: 181
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.501
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.5
## ---------------------------------------
## Degrees of freedom: 181.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.5
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.501
## ---------------------------------------
## Degrees of freedom: 182
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.499
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.502
## ---------------------------------------
## Degrees of freedom: 182.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.498
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.503
## ---------------------------------------
## Degrees of freedom: 183
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.497
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.504
## ---------------------------------------
## Degrees of freedom: 183.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.496
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.505
## ---------------------------------------
## Degrees of freedom: 184
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.495
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.507
## ---------------------------------------
## Degrees of freedom: 184.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.493
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.508
## ---------------------------------------
## Degrees of freedom: 185
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.492
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.509
## ---------------------------------------
## Degrees of freedom: 185.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.491
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.51
## ---------------------------------------
## Degrees of freedom: 186
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.49
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.511
## ---------------------------------------
## Degrees of freedom: 186.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.489
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.512
## ---------------------------------------
## Degrees of freedom: 187
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.488
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.513
## ---------------------------------------
## Degrees of freedom: 187.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.487
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.514
## ---------------------------------------
## Degrees of freedom: 188
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.486
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.515
## ---------------------------------------
## Degrees of freedom: 188.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.485
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.516
## ---------------------------------------
## Degrees of freedom: 189
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.484
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.517
## ---------------------------------------
## Degrees of freedom: 189.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.483
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.518
## ---------------------------------------
## Degrees of freedom: 190
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.482
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.519
## ---------------------------------------
## Degrees of freedom: 190.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.481
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.52
## ---------------------------------------
## Degrees of freedom: 191
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.48
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.521
## ---------------------------------------
## Degrees of freedom: 191.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.479
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.522
## ---------------------------------------
## Degrees of freedom: 192
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.478
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.523
## ---------------------------------------
## Degrees of freedom: 192.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.477
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.524
## ---------------------------------------
## Degrees of freedom: 193
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.476
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.525
## ---------------------------------------
## Degrees of freedom: 193.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.475
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.526
## ---------------------------------------
## Degrees of freedom: 194
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.474
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.527
## ---------------------------------------
## Degrees of freedom: 194.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.473
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.528
## ---------------------------------------
## Degrees of freedom: 195
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.472
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.529
## ---------------------------------------
## Degrees of freedom: 195.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.471
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.53
## ---------------------------------------
## Degrees of freedom: 196
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.47
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.531
## ---------------------------------------
## Degrees of freedom: 196.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.469
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.532
## ---------------------------------------
## Degrees of freedom: 197
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.468
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.533
## ---------------------------------------
## Degrees of freedom: 197.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.467
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.534
## ---------------------------------------
## Degrees of freedom: 198
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.466
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.535
## ---------------------------------------
## Degrees of freedom: 198.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.465
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.536
## ---------------------------------------
## Degrees of freedom: 199
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.464
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.537
## ---------------------------------------
## Degrees of freedom: 199.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.463
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.538
## ---------------------------------------
## Degrees of freedom: 200
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.462
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.539
## ---------------------------------------
## Degrees of freedom: 200.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.461
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.54
## ---------------------------------------
## Degrees of freedom: 201
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.46
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.541
## ---------------------------------------
## Degrees of freedom: 201.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.459
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.542
## ---------------------------------------
## Degrees of freedom: 202
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.458
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.543
## ---------------------------------------
## Degrees of freedom: 202.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.457
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.544
## ---------------------------------------
## Degrees of freedom: 203
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.456
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.545
## ---------------------------------------
## Degrees of freedom: 203.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.455
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.546
## ---------------------------------------
## Degrees of freedom: 204
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.454
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.547
## ---------------------------------------
## Degrees of freedom: 204.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.453
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.548
## ---------------------------------------
## Degrees of freedom: 205
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.452
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.549
## ---------------------------------------
## Degrees of freedom: 205.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.451
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.55
## ---------------------------------------
## Degrees of freedom: 206
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.45
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.551
## ---------------------------------------
## Degrees of freedom: 206.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.449
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.552
## ---------------------------------------
## Degrees of freedom: 207
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.448
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.553
## ---------------------------------------
## Degrees of freedom: 207.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.447
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.554
## ---------------------------------------
## Degrees of freedom: 208
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.446
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.555
## ---------------------------------------
## Degrees of freedom: 208.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.445
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.556
## ---------------------------------------
## Degrees of freedom: 209
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.444
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.557
## ---------------------------------------
## Degrees of freedom: 209.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.443
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.558
## ---------------------------------------
## Degrees of freedom: 210
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.442
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.559
## ---------------------------------------
## Degrees of freedom: 210.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.441
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.56
## ---------------------------------------
## Degrees of freedom: 211
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.44
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.561
## ---------------------------------------
## Degrees of freedom: 211.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.439
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.562
## ---------------------------------------
## Degrees of freedom: 212
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.438
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.563
## ---------------------------------------
## Degrees of freedom: 212.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.437
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.564
## ---------------------------------------
## Degrees of freedom: 213
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.436
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.565
## ---------------------------------------
## Degrees of freedom: 213.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.435
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.566
## ---------------------------------------
## Degrees of freedom: 214
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.434
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.567
## ---------------------------------------
## Degrees of freedom: 214.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.433
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.568
## ---------------------------------------
## Degrees of freedom: 215
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.432
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.569
## ---------------------------------------
## Degrees of freedom: 215.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.431
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.57
## ---------------------------------------
## Degrees of freedom: 216
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.43
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.571
## ---------------------------------------
## Degrees of freedom: 216.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.429
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.572
## ---------------------------------------
## Degrees of freedom: 217
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.428
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.573
## ---------------------------------------
## Degrees of freedom: 217.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.427
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.574
## ---------------------------------------
## Degrees of freedom: 218
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.426
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.575
## ---------------------------------------
## Degrees of freedom: 218.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.425
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.576
## ---------------------------------------
## Degrees of freedom: 219
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.424
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.576
## ---------------------------------------
## Degrees of freedom: 219.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.424
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.577
## ---------------------------------------
## Degrees of freedom: 220
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.423
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.578
## ---------------------------------------
## Degrees of freedom: 220.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.422
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.579
## ---------------------------------------
## Degrees of freedom: 221
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.421
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.58
## ---------------------------------------
## Degrees of freedom: 221.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.42
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.581
## ---------------------------------------
## Degrees of freedom: 222
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.419
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.582
## ---------------------------------------
## Degrees of freedom: 222.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.418
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.583
## ---------------------------------------
## Degrees of freedom: 223
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.417
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.584
## ---------------------------------------
## Degrees of freedom: 223.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.416
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.585
## ---------------------------------------
## Degrees of freedom: 224
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.415
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.586
## ---------------------------------------
## Degrees of freedom: 224.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.414
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.587
## ---------------------------------------
## Degrees of freedom: 225
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.413
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.588
## ---------------------------------------
## Degrees of freedom: 225.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.412
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.589
## ---------------------------------------
## Degrees of freedom: 226
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.411
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.59
## ---------------------------------------
## Degrees of freedom: 226.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.41
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.591
## ---------------------------------------
## Degrees of freedom: 227
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.409
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.591
## ---------------------------------------
## Degrees of freedom: 227.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.409
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.592
## ---------------------------------------
## Degrees of freedom: 228
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.408
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.593
## ---------------------------------------
## Degrees of freedom: 228.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.407
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.594
## ---------------------------------------
## Degrees of freedom: 229
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.406
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.595
## ---------------------------------------
## Degrees of freedom: 229.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.405
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.596
## ---------------------------------------
## Degrees of freedom: 230
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.404
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.597
## ---------------------------------------
## Degrees of freedom: 230.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.403
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.598
## ---------------------------------------
## Degrees of freedom: 231
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.402
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.599
## ---------------------------------------
## Degrees of freedom: 231.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.401
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.6
## ---------------------------------------
## Degrees of freedom: 232
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.4
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.601
## ---------------------------------------
## Degrees of freedom: 232.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.399
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.602
## ---------------------------------------
## Degrees of freedom: 233
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.398
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.602
## ---------------------------------------
## Degrees of freedom: 233.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.398
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.603
## ---------------------------------------
## Degrees of freedom: 234
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.397
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.604
## ---------------------------------------
## Degrees of freedom: 234.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.396
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.605
## ---------------------------------------
## Degrees of freedom: 235
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.395
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.606
## ---------------------------------------
## Degrees of freedom: 235.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.394
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.607
## ---------------------------------------
## Degrees of freedom: 236
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.393
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.608
## ---------------------------------------
## Degrees of freedom: 236.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.392
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.609
## ---------------------------------------
## Degrees of freedom: 237
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.391
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.61
## ---------------------------------------
## Degrees of freedom: 237.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.39
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.61
## ---------------------------------------
## Degrees of freedom: 238
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.39
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.611
## ---------------------------------------
## Degrees of freedom: 238.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.389
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.612
## ---------------------------------------
## Degrees of freedom: 239
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.388
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.613
## ---------------------------------------
## Degrees of freedom: 239.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.387
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.614
## ---------------------------------------
## Degrees of freedom: 240
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.386
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.615
## ---------------------------------------
## Degrees of freedom: 240.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.385
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.616
## ---------------------------------------
## Degrees of freedom: 241
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.384
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.617
## ---------------------------------------
## Degrees of freedom: 241.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.383
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.618
## ---------------------------------------
## Degrees of freedom: 242
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.382
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.618
## ---------------------------------------
## Degrees of freedom: 242.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.382
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.619
## ---------------------------------------
## Degrees of freedom: 243
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.381
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.62
## ---------------------------------------
## Degrees of freedom: 243.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.38
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.621
## ---------------------------------------
## Degrees of freedom: 244
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.379
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.622
## ---------------------------------------
## Degrees of freedom: 244.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.378
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.623
## ---------------------------------------
## Degrees of freedom: 245
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.377
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.624
## ---------------------------------------
## Degrees of freedom: 245.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.376
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.625
## ---------------------------------------
## Degrees of freedom: 246
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.375
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.625
## ---------------------------------------
## Degrees of freedom: 246.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.375
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.626
## ---------------------------------------
## Degrees of freedom: 247
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.374
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.627
## ---------------------------------------
## Degrees of freedom: 247.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.373
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.628
## ---------------------------------------
## Degrees of freedom: 248
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.372
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.629
## ---------------------------------------
## Degrees of freedom: 248.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.371
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.63
## ---------------------------------------
## Degrees of freedom: 249
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.37
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.631
## ---------------------------------------
## Degrees of freedom: 249.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.369
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.631
## ---------------------------------------
## Degrees of freedom: 250
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.369
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.632
## ---------------------------------------
## Degrees of freedom: 250.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.368
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.633
## ---------------------------------------
## Degrees of freedom: 251
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.367
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.634
## ---------------------------------------
## Degrees of freedom: 251.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.366
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.635
## ---------------------------------------
## Degrees of freedom: 252
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.365
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.636
## ---------------------------------------
## Degrees of freedom: 252.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.364
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.637
## ---------------------------------------
## Degrees of freedom: 253
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.363
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.637
## ---------------------------------------
## Degrees of freedom: 253.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.363
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.638
## ---------------------------------------
## Degrees of freedom: 254
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.362
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.639
## ---------------------------------------
## Degrees of freedom: 254.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.361
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.64
## ---------------------------------------
## Degrees of freedom: 255
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.36
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.641
## ---------------------------------------
## Degrees of freedom: 255.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.359
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.642
## ---------------------------------------
## Degrees of freedom: 256
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.358
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.642
## ---------------------------------------
## Degrees of freedom: 256.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.358
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.643
## ---------------------------------------
## Degrees of freedom: 257
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.357
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.644
## ---------------------------------------
## Degrees of freedom: 257.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.356
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.645
## ---------------------------------------
## Degrees of freedom: 258
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.355
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.646
## ---------------------------------------
## Degrees of freedom: 258.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.354
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.647
## ---------------------------------------
## Degrees of freedom: 259
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.353
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.647
## ---------------------------------------
## Degrees of freedom: 259.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.353
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.648
## ---------------------------------------
## Degrees of freedom: 260
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.352
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.649
## ---------------------------------------
## Degrees of freedom: 260.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.351
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.65
## ---------------------------------------
## Degrees of freedom: 261
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.35
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.651
## ---------------------------------------
## Degrees of freedom: 261.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.349
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.652
## ---------------------------------------
## Degrees of freedom: 262
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.348
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.652
## ---------------------------------------
## Degrees of freedom: 262.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.348
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.653
## ---------------------------------------
## Degrees of freedom: 263
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.347
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.654
## ---------------------------------------
## Degrees of freedom: 263.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.346
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.655
## ---------------------------------------
## Degrees of freedom: 264
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.345
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.656
## ---------------------------------------
## Degrees of freedom: 264.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.344
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.656
## ---------------------------------------
## Degrees of freedom: 265
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.344
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.657
## ---------------------------------------
## Degrees of freedom: 265.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.343
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.658
## ---------------------------------------
## Degrees of freedom: 266
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.342
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.659
## ---------------------------------------
## Degrees of freedom: 266.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.341
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.66
## ---------------------------------------
## Degrees of freedom: 267
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.34
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.66
## ---------------------------------------
## Degrees of freedom: 267.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.34
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.661
## ---------------------------------------
## Degrees of freedom: 268
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.339
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.662
## ---------------------------------------
## Degrees of freedom: 268.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.338
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.663
## ---------------------------------------
## Degrees of freedom: 269
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.337
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.664
## ---------------------------------------
## Degrees of freedom: 269.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.336
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.664
## ---------------------------------------
## Degrees of freedom: 270
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.336
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.665
## ---------------------------------------
## Degrees of freedom: 270.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.335
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.666
## ---------------------------------------
## Degrees of freedom: 271
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.334
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.667
## ---------------------------------------
## Degrees of freedom: 271.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.333
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.668
## ---------------------------------------
## Degrees of freedom: 272
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.332
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.668
## ---------------------------------------
## Degrees of freedom: 272.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.332
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.669
## ---------------------------------------
## Degrees of freedom: 273
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.331
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.67
## ---------------------------------------
## Degrees of freedom: 273.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.33
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.671
## ---------------------------------------
## Degrees of freedom: 274
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.329
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.672
## ---------------------------------------
## Degrees of freedom: 274.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.328
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.672
## ---------------------------------------
## Degrees of freedom: 275
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.328
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.673
## ---------------------------------------
## Degrees of freedom: 275.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.327
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.674
## ---------------------------------------
## Degrees of freedom: 276
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.326
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.675
## ---------------------------------------
## Degrees of freedom: 276.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.325
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.675
## ---------------------------------------
## Degrees of freedom: 277
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.325
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.676
## ---------------------------------------
## Degrees of freedom: 277.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.324
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.677
## ---------------------------------------
## Degrees of freedom: 278
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.323
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.678
## ---------------------------------------
## Degrees of freedom: 278.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.322
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.679
## ---------------------------------------
## Degrees of freedom: 279
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.321
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.679
## ---------------------------------------
## Degrees of freedom: 279.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.321
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.68
## ---------------------------------------
## Degrees of freedom: 280
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.32
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.681
## ---------------------------------------
## Degrees of freedom: 280.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.319
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.682
## ---------------------------------------
## Degrees of freedom: 281
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.318
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.682
## ---------------------------------------
## Degrees of freedom: 281.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.318
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.683
## ---------------------------------------
## Degrees of freedom: 282
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.317
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.684
## ---------------------------------------
## Degrees of freedom: 282.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.316
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.685
## ---------------------------------------
## Degrees of freedom: 283
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.315
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.685
## ---------------------------------------
## Degrees of freedom: 283.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.315
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.686
## ---------------------------------------
## Degrees of freedom: 284
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.314
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.687
## ---------------------------------------
## Degrees of freedom: 284.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.313
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.688
## ---------------------------------------
## Degrees of freedom: 285
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.312
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.688
## ---------------------------------------
## Degrees of freedom: 285.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.312
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.689
## ---------------------------------------
## Degrees of freedom: 286
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.311
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.69
## ---------------------------------------
## Degrees of freedom: 286.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.31
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.691
## ---------------------------------------
## Degrees of freedom: 287
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.309
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.691
## ---------------------------------------
## Degrees of freedom: 287.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.309
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.692
## ---------------------------------------
## Degrees of freedom: 288
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.308
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.693
## ---------------------------------------
## Degrees of freedom: 288.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.307
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.694
## ---------------------------------------
## Degrees of freedom: 289
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.306
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.694
## ---------------------------------------
## Degrees of freedom: 289.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.306
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.695
## ---------------------------------------
## Degrees of freedom: 290
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.305
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.696
## ---------------------------------------
## Degrees of freedom: 290.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.304
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.697
## ---------------------------------------
## Degrees of freedom: 291
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.303
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.697
## ---------------------------------------
## Degrees of freedom: 291.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.303
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.698
## ---------------------------------------
## Degrees of freedom: 292
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.302
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.699
## ---------------------------------------
## Degrees of freedom: 292.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.301
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.7
## ---------------------------------------
## Degrees of freedom: 293
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.3
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.7
## ---------------------------------------
## Degrees of freedom: 293.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.3
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.701
## ---------------------------------------
## Degrees of freedom: 294
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.299
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.702
## ---------------------------------------
## Degrees of freedom: 294.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.298
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.702
## ---------------------------------------
## Degrees of freedom: 295
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.298
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.703
## ---------------------------------------
## Degrees of freedom: 295.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.297
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.704
## ---------------------------------------
## Degrees of freedom: 296
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.296
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.705
## ---------------------------------------
## Degrees of freedom: 296.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.295
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.705
## ---------------------------------------
## Degrees of freedom: 297
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.295
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.706
## ---------------------------------------
## Degrees of freedom: 297.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.294
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.707
## ---------------------------------------
## Degrees of freedom: 298
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.293
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.707
## ---------------------------------------
## Degrees of freedom: 298.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.293
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.708
## ---------------------------------------
## Degrees of freedom: 299
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.292
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.709
## ---------------------------------------
## Degrees of freedom: 299.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.291
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.71
## ---------------------------------------
## Degrees of freedom: 300
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.29
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.71
## ---------------------------------------
## Degrees of freedom: 300.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.29
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.711
## ---------------------------------------
## Degrees of freedom: 301
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.289
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.712
## ---------------------------------------
## Degrees of freedom: 301.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.288
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.712
## ---------------------------------------
## Degrees of freedom: 302
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.288
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.713
## ---------------------------------------
## Degrees of freedom: 302.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.287
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.714
## ---------------------------------------
## Degrees of freedom: 303
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.286
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.715
## ---------------------------------------
## Degrees of freedom: 303.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.285
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.715
## ---------------------------------------
## Degrees of freedom: 304
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.285
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.716
## ---------------------------------------
## Degrees of freedom: 304.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.284
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.717
## ---------------------------------------
## Degrees of freedom: 305
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.283
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.717
## ---------------------------------------
## Degrees of freedom: 305.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.283
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.718
## ---------------------------------------
## Degrees of freedom: 306
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.282
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.719
## ---------------------------------------
## Degrees of freedom: 306.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.281
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.719
## ---------------------------------------
## Degrees of freedom: 307
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.281
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.72
## ---------------------------------------
## Degrees of freedom: 307.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.28
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.721
## ---------------------------------------
## Degrees of freedom: 308
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.279
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.721
## ---------------------------------------
## Degrees of freedom: 308.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.279
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.722
## ---------------------------------------
## Degrees of freedom: 309
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.278
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.723
## ---------------------------------------
## Degrees of freedom: 309.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.277
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.724
## ---------------------------------------
## Degrees of freedom: 310
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.276
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.724
## ---------------------------------------
## Degrees of freedom: 310.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.276
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.725
## ---------------------------------------
## Degrees of freedom: 311
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.275
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.726
## ---------------------------------------
## Degrees of freedom: 311.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.274
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.726
## ---------------------------------------
## Degrees of freedom: 312
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.274
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.727
## ---------------------------------------
## Degrees of freedom: 312.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.273
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.728
## ---------------------------------------
## Degrees of freedom: 313
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.272
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.728
## ---------------------------------------
## Degrees of freedom: 313.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.272
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.729
## ---------------------------------------
## Degrees of freedom: 314
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.271
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.73
## ---------------------------------------
## Degrees of freedom: 314.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.27
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.73
## ---------------------------------------
## Degrees of freedom: 315
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.27
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.731
## ---------------------------------------
## Degrees of freedom: 315.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.269
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.732
## ---------------------------------------
## Degrees of freedom: 316
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.268
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.732
## ---------------------------------------
## Degrees of freedom: 316.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.268
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.733
## ---------------------------------------
## Degrees of freedom: 317
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.267
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.734
## ---------------------------------------
## Degrees of freedom: 317.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.266
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.734
## ---------------------------------------
## Degrees of freedom: 318
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.266
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.735
## ---------------------------------------
## Degrees of freedom: 318.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.265
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.736
## ---------------------------------------
## Degrees of freedom: 319
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.264
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.736
## ---------------------------------------
## Degrees of freedom: 319.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.264
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.737
## ---------------------------------------
## Degrees of freedom: 320
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.263
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.738
## ---------------------------------------
## Degrees of freedom: 320.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.262
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.738
## ---------------------------------------
## Degrees of freedom: 321
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.262
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.739
## ---------------------------------------
## Degrees of freedom: 321.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.261
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.74
## ---------------------------------------
## Degrees of freedom: 322
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.26
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.74
## ---------------------------------------
## Degrees of freedom: 322.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.26
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.741
## ---------------------------------------
## Degrees of freedom: 323
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.259
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.741
## ---------------------------------------
## Degrees of freedom: 323.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.259
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.742
## ---------------------------------------
## Degrees of freedom: 324
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.258
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.743
## ---------------------------------------
## Degrees of freedom: 324.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.257
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.743
## ---------------------------------------
## Degrees of freedom: 325
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.257
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.744
## ---------------------------------------
## Degrees of freedom: 325.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.256
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.745
## ---------------------------------------
## Degrees of freedom: 326
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.255
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.745
## ---------------------------------------
## Degrees of freedom: 326.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.255
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.746
## ---------------------------------------
## Degrees of freedom: 327
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.254
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.747
## ---------------------------------------
## Degrees of freedom: 327.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.253
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.747
## ---------------------------------------
## Degrees of freedom: 328
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.253
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.748
## ---------------------------------------
## Degrees of freedom: 328.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.252
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.748
## ---------------------------------------
## Degrees of freedom: 329
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.252
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.749
## ---------------------------------------
## Degrees of freedom: 329.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.251
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.75
## ---------------------------------------
## Degrees of freedom: 330
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.25
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.75
## ---------------------------------------
## Degrees of freedom: 330.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.25
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.751
## ---------------------------------------
## Degrees of freedom: 331
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.249
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.752
## ---------------------------------------
## Degrees of freedom: 331.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.248
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.752
## ---------------------------------------
## Degrees of freedom: 332
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.248
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.753
## ---------------------------------------
## Degrees of freedom: 332.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.247
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.753
## ---------------------------------------
## Degrees of freedom: 333
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.247
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.754
## ---------------------------------------
## Degrees of freedom: 333.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.246
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.755
## ---------------------------------------
## Degrees of freedom: 334
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.245
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.755
## ---------------------------------------
## Degrees of freedom: 334.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.245
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.756
## ---------------------------------------
## Degrees of freedom: 335
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.244
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.757
## ---------------------------------------
## Degrees of freedom: 335.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.243
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.757
## ---------------------------------------
## Degrees of freedom: 336
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.243
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.758
## ---------------------------------------
## Degrees of freedom: 336.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.242
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.758
## ---------------------------------------
## Degrees of freedom: 337
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.242
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.759
## ---------------------------------------
## Degrees of freedom: 337.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.241
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.76
## ---------------------------------------
## Degrees of freedom: 338
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.24
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.76
## ---------------------------------------
## Degrees of freedom: 338.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.24
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.761
## ---------------------------------------
## Degrees of freedom: 339
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.239
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.761
## ---------------------------------------
## Degrees of freedom: 339.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.239
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.762
## ---------------------------------------
## Degrees of freedom: 340
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.238
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.763
## ---------------------------------------
## Degrees of freedom: 340.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.237
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.763
## ---------------------------------------
## Degrees of freedom: 341
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.237
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.764
## ---------------------------------------
## Degrees of freedom: 341.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.236
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.764
## ---------------------------------------
## Degrees of freedom: 342
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.236
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.765
## ---------------------------------------
## Degrees of freedom: 342.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.235
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.766
## ---------------------------------------
## Degrees of freedom: 343
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.234
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.766
## ---------------------------------------
## Degrees of freedom: 343.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.234
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.767
## ---------------------------------------
## Degrees of freedom: 344
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.233
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.767
## ---------------------------------------
## Degrees of freedom: 344.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.233
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.768
## ---------------------------------------
## Degrees of freedom: 345
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.232
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.769
## ---------------------------------------
## Degrees of freedom: 345.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.231
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.769
## ---------------------------------------
## Degrees of freedom: 346
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.231
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.77
## ---------------------------------------
## Degrees of freedom: 346.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.23
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.77
## ---------------------------------------
## Degrees of freedom: 347
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.23
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.771
## ---------------------------------------
## Degrees of freedom: 347.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.229
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.772
## ---------------------------------------
## Degrees of freedom: 348
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.228
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.772
## ---------------------------------------
## Degrees of freedom: 348.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.228
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.773
## ---------------------------------------
## Degrees of freedom: 349
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.227
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.773
## ---------------------------------------
## Degrees of freedom: 349.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.227
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.774
## ---------------------------------------
## Degrees of freedom: 350
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.226
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.774
## ---------------------------------------
## Degrees of freedom: 350.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.226
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.775
## ---------------------------------------
## Degrees of freedom: 351
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.225
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.776
## ---------------------------------------
## Degrees of freedom: 351.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.224
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.776
## ---------------------------------------
## Degrees of freedom: 352
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.224
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 352.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 353
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.778
## ---------------------------------------
## Degrees of freedom: 353.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.222
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.778
## ---------------------------------------
## Degrees of freedom: 354
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.222
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.779
## ---------------------------------------
## Degrees of freedom: 354.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.221
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.78
## ---------------------------------------
## Degrees of freedom: 355
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.22
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.78
## ---------------------------------------
## Degrees of freedom: 355.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.22
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.781
## ---------------------------------------
## Degrees of freedom: 356
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.219
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.781
## ---------------------------------------
## Degrees of freedom: 356.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.219
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 357
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 357.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.783
## ---------------------------------------
## Degrees of freedom: 358
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.217
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.784
## ---------------------------------------
## Degrees of freedom: 358.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.216
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.784
## ---------------------------------------
## Degrees of freedom: 359
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.216
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 359.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 360
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.786
## ---------------------------------------
## Degrees of freedom: 360.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.214
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.786
## ---------------------------------------
## Degrees of freedom: 361
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.214
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.787
## ---------------------------------------
## Degrees of freedom: 361.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.213
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.787
## ---------------------------------------
## Degrees of freedom: 362
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.213
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 362.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 363
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.789
## ---------------------------------------
## Degrees of freedom: 363.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.211
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.79
## ---------------------------------------
## Degrees of freedom: 364
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.21
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.79
## ---------------------------------------
## Degrees of freedom: 364.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.21
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 365
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 365.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.792
## ---------------------------------------
## Degrees of freedom: 366
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.208
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.792
## ---------------------------------------
## Degrees of freedom: 366.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.208
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.793
## ---------------------------------------
## Degrees of freedom: 367
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.207
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.793
## ---------------------------------------
## Degrees of freedom: 367.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.207
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 368
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 368.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.795
## ---------------------------------------
## Degrees of freedom: 369
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.205
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.795
## ---------------------------------------
## Degrees of freedom: 369.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.205
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.796
## ---------------------------------------
## Degrees of freedom: 370
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.204
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.797
## ---------------------------------------
## Degrees of freedom: 370.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.203
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.797
## ---------------------------------------
## Degrees of freedom: 371
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.203
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 371.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 372
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.799
## ---------------------------------------
## Degrees of freedom: 372.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.201
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.799
## ---------------------------------------
## Degrees of freedom: 373
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.201
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.8
## ---------------------------------------
## Degrees of freedom: 373.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.8
## ---------------------------------------
## Degrees of freedom: 374
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.801
## ---------------------------------------
## Degrees of freedom: 374.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.199
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.801
## ---------------------------------------
## Degrees of freedom: 375
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.199
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 375.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 376
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.803
## ---------------------------------------
## Degrees of freedom: 376.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.197
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.803
## ---------------------------------------
## Degrees of freedom: 377
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.197
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.804
## ---------------------------------------
## Degrees of freedom: 377.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.196
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.804
## ---------------------------------------
## Degrees of freedom: 378
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.196
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.805
## ---------------------------------------
## Degrees of freedom: 378.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.195
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.805
## ---------------------------------------
## Degrees of freedom: 379
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.195
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 379.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 380
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 380.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 381
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.808
## ---------------------------------------
## Degrees of freedom: 381.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.192
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.808
## ---------------------------------------
## Degrees of freedom: 382
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.192
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 382.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 383
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 383.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 384
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.811
## ---------------------------------------
## Degrees of freedom: 384.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.189
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.811
## ---------------------------------------
## Degrees of freedom: 385
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.189
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.812
## ---------------------------------------
## Degrees of freedom: 385.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.188
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.812
## ---------------------------------------
## Degrees of freedom: 386
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.188
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 386.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 387
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.814
## ---------------------------------------
## Degrees of freedom: 387.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.186
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.814
## ---------------------------------------
## Degrees of freedom: 388
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.186
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 388.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 389
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 389.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 390
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.817
## ---------------------------------------
## Degrees of freedom: 390.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.183
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.817
## ---------------------------------------
## Degrees of freedom: 391
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.183
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 391.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 392
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.819
## ---------------------------------------
## Degrees of freedom: 392.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.181
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.819
## ---------------------------------------
## Degrees of freedom: 393
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.181
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 393.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 394
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 394.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 395
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 395.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.822
## ---------------------------------------
## Degrees of freedom: 396
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.178
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.822
## ---------------------------------------
## Degrees of freedom: 396.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.178
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 397
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 397.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 398
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 398.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 399
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 399.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 400
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 400.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.827
## ---------------------------------------
## Degrees of freedom: 401
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.173
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.827
## ---------------------------------------
## Degrees of freedom: 401.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.173
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 402
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 402.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 403
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 403.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 404
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 404.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 405
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 405.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 406
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 406.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 407
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 407.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 408
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 408.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 409
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 409.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 410
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 410.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 411
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 411.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 412
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 412.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 413
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 413.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 414
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 414.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 415
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 415.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 416
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 416.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 417
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 417.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 418
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 418.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 419
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 419.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 420
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 420.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 421
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 421.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 422
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 422.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 423
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 423.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 424
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 424.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 425
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 425.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 426
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 426.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 427
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 427.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 428
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 428.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 429
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 429.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 430
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 430.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 431
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 431.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 432
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 432.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 433
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 433.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.855
## ---------------------------------------
## Degrees of freedom: 434
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.145
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.855
## ---------------------------------------
## Degrees of freedom: 434.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.145
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.856
## ---------------------------------------
## Degrees of freedom: 435
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.144
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.856
## ---------------------------------------
## Degrees of freedom: 435.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.144
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.856
## ---------------------------------------
## Degrees of freedom: 436
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.144
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.857
## ---------------------------------------
## Degrees of freedom: 436.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.143
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.857
## ---------------------------------------
## Degrees of freedom: 437
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.143
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.857
## ---------------------------------------
## Degrees of freedom: 437.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.143
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.858
## ---------------------------------------
## Degrees of freedom: 438
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.142
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.858
## ---------------------------------------
## Degrees of freedom: 438.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.142
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.859
## ---------------------------------------
## Degrees of freedom: 439
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.141
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.859
## ---------------------------------------
## Degrees of freedom: 439.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.141
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.859
## ---------------------------------------
## Degrees of freedom: 440
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.141
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.86
## ---------------------------------------
## Degrees of freedom: 440.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.14
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.86
## ---------------------------------------
## Degrees of freedom: 441
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.14
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.861
## ---------------------------------------
## Degrees of freedom: 441.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.139
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.861
## ---------------------------------------
## Degrees of freedom: 442
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.139
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.861
## ---------------------------------------
## Degrees of freedom: 442.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.139
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.862
## ---------------------------------------
## Degrees of freedom: 443
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.138
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.862
## ---------------------------------------
## Degrees of freedom: 443.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.138
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.862
## ---------------------------------------
## Degrees of freedom: 444
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.138
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.863
## ---------------------------------------
## Degrees of freedom: 444.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.137
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.863
## ---------------------------------------
## Degrees of freedom: 445
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.137
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.864
## ---------------------------------------
## Degrees of freedom: 445.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.136
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.864
## ---------------------------------------
## Degrees of freedom: 446
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.136
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.864
## ---------------------------------------
## Degrees of freedom: 446.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.136
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.865
## ---------------------------------------
## Degrees of freedom: 447
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.135
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.865
## ---------------------------------------
## Degrees of freedom: 447.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.135
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.865
## ---------------------------------------
## Degrees of freedom: 448
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.135
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.866
## ---------------------------------------
## Degrees of freedom: 448.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.134
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.866
## ---------------------------------------
## Degrees of freedom: 449
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.134
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.867
## ---------------------------------------
## Degrees of freedom: 449.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.133
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.867
## ---------------------------------------
## Degrees of freedom: 450
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.133
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.867
## ---------------------------------------
## Degrees of freedom: 450.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.133
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.868
## ---------------------------------------
## Degrees of freedom: 451
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.132
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.868
## ---------------------------------------
## Degrees of freedom: 451.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.132
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.868
## ---------------------------------------
## Degrees of freedom: 452
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.132
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.869
## ---------------------------------------
## Degrees of freedom: 452.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.131
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.869
## ---------------------------------------
## Degrees of freedom: 453
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.131
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.869
## ---------------------------------------
## Degrees of freedom: 453.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.131
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.87
## ---------------------------------------
## Degrees of freedom: 454
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.13
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.87
## ---------------------------------------
## Degrees of freedom: 454.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.13
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.87
## ---------------------------------------
## Degrees of freedom: 455
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.13
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.871
## ---------------------------------------
## Degrees of freedom: 455.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.129
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.871
## ---------------------------------------
## Degrees of freedom: 456
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.129
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.872
## ---------------------------------------
## Degrees of freedom: 456.5
## Standardized standard error: 0.065
## Type I error rate: 0.05
## Type II error rate: 0.128
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.872
## ---------------------------------------
## Degrees of freedom: 457
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.128
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.872
## ---------------------------------------
## Degrees of freedom: 457.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.128
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.873
## ---------------------------------------
## Degrees of freedom: 458
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.127
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.873
## ---------------------------------------
## Degrees of freedom: 458.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.127
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.873
## ---------------------------------------
## Degrees of freedom: 459
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.127
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.874
## ---------------------------------------
## Degrees of freedom: 459.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.126
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.874
## ---------------------------------------
## Degrees of freedom: 460
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.126
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.874
## ---------------------------------------
## Degrees of freedom: 460.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.126
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.875
## ---------------------------------------
## Degrees of freedom: 461
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.125
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.875
## ---------------------------------------
## Degrees of freedom: 461.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.125
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.875
## ---------------------------------------
## Degrees of freedom: 462
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.125
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.876
## ---------------------------------------
## Degrees of freedom: 462.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.124
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.876
## ---------------------------------------
## Degrees of freedom: 463
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.124
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.876
## ---------------------------------------
## Degrees of freedom: 463.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.124
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.877
## ---------------------------------------
## Degrees of freedom: 464
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.123
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.877
## ---------------------------------------
## Degrees of freedom: 464.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.123
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.877
## ---------------------------------------
## Degrees of freedom: 465
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.123
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.878
## ---------------------------------------
## Degrees of freedom: 465.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.122
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.878
## ---------------------------------------
## Degrees of freedom: 466
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.122
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.878
## ---------------------------------------
## Degrees of freedom: 466.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.122
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.879
## ---------------------------------------
## Degrees of freedom: 467
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.121
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.879
## ---------------------------------------
## Degrees of freedom: 467.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.121
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.879
## ---------------------------------------
## Degrees of freedom: 468
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.121
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.88
## ---------------------------------------
## Degrees of freedom: 468.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.12
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.88
## ---------------------------------------
## Degrees of freedom: 469
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.12
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.88
## ---------------------------------------
## Degrees of freedom: 469.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.12
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.881
## ---------------------------------------
## Degrees of freedom: 470
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.119
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.881
## ---------------------------------------
## Degrees of freedom: 470.5
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.119
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.881
## ---------------------------------------
## Degrees of freedom: 471
## Standardized standard error: 0.064
## Type I error rate: 0.05
## Type II error rate: 0.119
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.882
## ---------------------------------------
## Degrees of freedom: 471.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.118
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.882
## ---------------------------------------
## Degrees of freedom: 472
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.118
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.882
## ---------------------------------------
## Degrees of freedom: 472.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.118
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.883
## ---------------------------------------
## Degrees of freedom: 473
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.117
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.883
## ---------------------------------------
## Degrees of freedom: 473.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.117
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.883
## ---------------------------------------
## Degrees of freedom: 474
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.117
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.884
## ---------------------------------------
## Degrees of freedom: 474.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.116
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.884
## ---------------------------------------
## Degrees of freedom: 475
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.116
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.884
## ---------------------------------------
## Degrees of freedom: 475.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.116
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.885
## ---------------------------------------
## Degrees of freedom: 476
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.115
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.885
## ---------------------------------------
## Degrees of freedom: 476.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.115
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.885
## ---------------------------------------
## Degrees of freedom: 477
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.115
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.886
## ---------------------------------------
## Degrees of freedom: 477.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.114
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.886
## ---------------------------------------
## Degrees of freedom: 478
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.114
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.886
## ---------------------------------------
## Degrees of freedom: 478.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.114
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.887
## ---------------------------------------
## Degrees of freedom: 479
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.113
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.887
## ---------------------------------------
## Degrees of freedom: 479.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.113
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.887
## ---------------------------------------
## Degrees of freedom: 480
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.113
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.888
## ---------------------------------------
## Degrees of freedom: 480.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.112
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.888
## ---------------------------------------
## Degrees of freedom: 481
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.112
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.888
## ---------------------------------------
## Degrees of freedom: 481.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.112
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.888
## ---------------------------------------
## Degrees of freedom: 482
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.112
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.889
## ---------------------------------------
## Degrees of freedom: 482.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.111
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.889
## ---------------------------------------
## Degrees of freedom: 483
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.111
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.889
## ---------------------------------------
## Degrees of freedom: 483.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.111
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.89
## ---------------------------------------
## Degrees of freedom: 484
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.11
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.89
## ---------------------------------------
## Degrees of freedom: 484.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.11
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.89
## ---------------------------------------
## Degrees of freedom: 485
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.11
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.891
## ---------------------------------------
## Degrees of freedom: 485.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.109
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.891
## ---------------------------------------
## Degrees of freedom: 486
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.109
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.891
## ---------------------------------------
## Degrees of freedom: 486.5
## Standardized standard error: 0.063
## Type I error rate: 0.05
## Type II error rate: 0.109
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.892
## ---------------------------------------
## Degrees of freedom: 487
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.108
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.892
## ---------------------------------------
## Degrees of freedom: 487.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.108
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.892
## ---------------------------------------
## Degrees of freedom: 488
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.108
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.892
## ---------------------------------------
## Degrees of freedom: 488.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.108
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.893
## ---------------------------------------
## Degrees of freedom: 489
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.107
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.893
## ---------------------------------------
## Degrees of freedom: 489.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.107
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.893
## ---------------------------------------
## Degrees of freedom: 490
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.107
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.894
## ---------------------------------------
## Degrees of freedom: 490.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.106
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.894
## ---------------------------------------
## Degrees of freedom: 491
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.106
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.894
## ---------------------------------------
## Degrees of freedom: 491.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.106
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.895
## ---------------------------------------
## Degrees of freedom: 492
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.105
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.895
## ---------------------------------------
## Degrees of freedom: 492.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.105
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.895
## ---------------------------------------
## Degrees of freedom: 493
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.105
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.895
## ---------------------------------------
## Degrees of freedom: 493.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.105
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.896
## ---------------------------------------
## Degrees of freedom: 494
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.104
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.896
## ---------------------------------------
## Degrees of freedom: 494.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.104
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.896
## ---------------------------------------
## Degrees of freedom: 495
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.104
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.897
## ---------------------------------------
## Degrees of freedom: 495.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.103
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.897
## ---------------------------------------
## Degrees of freedom: 496
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.103
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.897
## ---------------------------------------
## Degrees of freedom: 496.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.103
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.897
## ---------------------------------------
## Degrees of freedom: 497
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.103
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.898
## ---------------------------------------
## Degrees of freedom: 497.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.102
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.898
## ---------------------------------------
## Degrees of freedom: 498
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.102
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.898
## ---------------------------------------
## Degrees of freedom: 498.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.102
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.899
## ---------------------------------------
## Degrees of freedom: 499
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.101
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.899
## ---------------------------------------
## Degrees of freedom: 499.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.101
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.899
## ---------------------------------------
## Degrees of freedom: 500
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.101
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.899
## ---------------------------------------
## Degrees of freedom: 500.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.101
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.9
## ---------------------------------------
## Degrees of freedom: 501
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.1
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.9
## ---------------------------------------
## Degrees of freedom: 501.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.1
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.9
## ---------------------------------------
## Degrees of freedom: 502
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.1
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.901
## ---------------------------------------
## Degrees of freedom: 502.5
## Standardized standard error: 0.062
## Type I error rate: 0.05
## Type II error rate: 0.099
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.901
## ---------------------------------------
## Degrees of freedom: 503
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.099
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.901
## ---------------------------------------
## Degrees of freedom: 503.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.099
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.901
## ---------------------------------------
## Degrees of freedom: 504
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.099
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.902
## ---------------------------------------
## Degrees of freedom: 504.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.098
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.902
## ---------------------------------------
## Degrees of freedom: 505
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.098
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.902
## ---------------------------------------
## Degrees of freedom: 505.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.098
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.903
## ---------------------------------------
## Degrees of freedom: 506
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.097
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.903
## ---------------------------------------
## Degrees of freedom: 506.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.097
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.903
## ---------------------------------------
## Degrees of freedom: 507
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.097
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.903
## ---------------------------------------
## Degrees of freedom: 507.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.097
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.904
## ---------------------------------------
## Degrees of freedom: 508
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.096
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.904
## ---------------------------------------
## Degrees of freedom: 508.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.096
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.904
## ---------------------------------------
## Degrees of freedom: 509
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.096
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.904
## ---------------------------------------
## Degrees of freedom: 509.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.096
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.905
## ---------------------------------------
## Degrees of freedom: 510
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.095
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.905
## ---------------------------------------
## Degrees of freedom: 510.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.095
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.905
## ---------------------------------------
## Degrees of freedom: 511
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.095
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.906
## ---------------------------------------
## Degrees of freedom: 511.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.094
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.906
## ---------------------------------------
## Degrees of freedom: 512
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.094
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.906
## ---------------------------------------
## Degrees of freedom: 512.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.094
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.906
## ---------------------------------------
## Degrees of freedom: 513
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.094
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.907
## ---------------------------------------
## Degrees of freedom: 513.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.093
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.907
## ---------------------------------------
## Degrees of freedom: 514
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.093
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.907
## ---------------------------------------
## Degrees of freedom: 514.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.093
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.907
## ---------------------------------------
## Degrees of freedom: 515
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.093
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.908
## ---------------------------------------
## Degrees of freedom: 515.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.092
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.908
## ---------------------------------------
## Degrees of freedom: 516
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.092
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.908
## ---------------------------------------
## Degrees of freedom: 516.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.092
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.908
## ---------------------------------------
## Degrees of freedom: 517
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.092
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.909
## ---------------------------------------
## Degrees of freedom: 517.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.091
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.909
## ---------------------------------------
## Degrees of freedom: 518
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.091
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.909
## ---------------------------------------
## Degrees of freedom: 518.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.091
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.909
## ---------------------------------------
## Degrees of freedom: 519
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.091
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.91
## ---------------------------------------
## Degrees of freedom: 519.5
## Standardized standard error: 0.061
## Type I error rate: 0.05
## Type II error rate: 0.09
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.91
## ---------------------------------------
## Degrees of freedom: 520
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.09
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.91
## ---------------------------------------
## Degrees of freedom: 520.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.09
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.91
## ---------------------------------------
## Degrees of freedom: 521
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.09
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.911
## ---------------------------------------
## Degrees of freedom: 521.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.089
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.911
## ---------------------------------------
## Degrees of freedom: 522
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.089
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.911
## ---------------------------------------
## Degrees of freedom: 522.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.089
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.911
## ---------------------------------------
## Degrees of freedom: 523
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.089
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.912
## ---------------------------------------
## Degrees of freedom: 523.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.088
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.912
## ---------------------------------------
## Degrees of freedom: 524
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.088
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.912
## ---------------------------------------
## Degrees of freedom: 524.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.088
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.912
## ---------------------------------------
## Degrees of freedom: 525
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.088
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.913
## ---------------------------------------
## Degrees of freedom: 525.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.087
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.913
## ---------------------------------------
## Degrees of freedom: 526
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.087
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.913
## ---------------------------------------
## Degrees of freedom: 526.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.087
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.913
## ---------------------------------------
## Degrees of freedom: 527
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.087
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.914
## ---------------------------------------
## Degrees of freedom: 527.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.086
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.914
## ---------------------------------------
## Degrees of freedom: 528
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.086
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.914
## ---------------------------------------
## Degrees of freedom: 528.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.086
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.914
## ---------------------------------------
## Degrees of freedom: 529
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.086
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.915
## ---------------------------------------
## Degrees of freedom: 529.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.085
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.915
## ---------------------------------------
## Degrees of freedom: 530
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.085
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.915
## ---------------------------------------
## Degrees of freedom: 530.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.085
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.915
## ---------------------------------------
## Degrees of freedom: 531
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.085
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.916
## ---------------------------------------
## Degrees of freedom: 531.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.084
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.916
## ---------------------------------------
## Degrees of freedom: 532
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.084
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.916
## ---------------------------------------
## Degrees of freedom: 532.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.084
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.916
## ---------------------------------------
## Degrees of freedom: 533
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.084
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.917
## ---------------------------------------
## Degrees of freedom: 533.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.083
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.917
## ---------------------------------------
## Degrees of freedom: 534
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.083
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.917
## ---------------------------------------
## Degrees of freedom: 534.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.083
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.917
## ---------------------------------------
## Degrees of freedom: 535
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.083
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.918
## ---------------------------------------
## Degrees of freedom: 535.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.082
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.918
## ---------------------------------------
## Degrees of freedom: 536
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.082
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.918
## ---------------------------------------
## Degrees of freedom: 536.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.082
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.918
## ---------------------------------------
## Degrees of freedom: 537
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.082
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.919
## ---------------------------------------
## Degrees of freedom: 537.5
## Standardized standard error: 0.06
## Type I error rate: 0.05
## Type II error rate: 0.081
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.919
## ---------------------------------------
## Degrees of freedom: 538
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.081
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.919
## ---------------------------------------
## Degrees of freedom: 538.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.081
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.919
## ---------------------------------------
## Degrees of freedom: 539
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.081
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.919
## ---------------------------------------
## Degrees of freedom: 539.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.081
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.92
## ---------------------------------------
## Degrees of freedom: 540
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.08
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.92
## ---------------------------------------
## Degrees of freedom: 540.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.08
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.92
## ---------------------------------------
## Degrees of freedom: 541
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.08
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.92
## ---------------------------------------
## Degrees of freedom: 541.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.08
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.921
## ---------------------------------------
## Degrees of freedom: 542
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.079
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.921
## ---------------------------------------
## Degrees of freedom: 542.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.079
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.921
## ---------------------------------------
## Degrees of freedom: 543
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.079
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.921
## ---------------------------------------
## Degrees of freedom: 543.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.079
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.922
## ---------------------------------------
## Degrees of freedom: 544
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.078
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.922
## ---------------------------------------
## Degrees of freedom: 544.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.078
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.922
## ---------------------------------------
## Degrees of freedom: 545
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.078
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.922
## ---------------------------------------
## Degrees of freedom: 545.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.078
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.922
## ---------------------------------------
## Degrees of freedom: 546
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.078
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.923
## ---------------------------------------
## Degrees of freedom: 546.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.077
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.923
## ---------------------------------------
## Degrees of freedom: 547
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.077
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.923
## ---------------------------------------
## Degrees of freedom: 547.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.077
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.923
## ---------------------------------------
## Degrees of freedom: 548
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.077
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 548.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 549
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 549.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 550
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.924
## ---------------------------------------
## Degrees of freedom: 550.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.076
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.925
## ---------------------------------------
## Degrees of freedom: 551
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.075
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.925
## ---------------------------------------
## Degrees of freedom: 551.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.075
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.925
## ---------------------------------------
## Degrees of freedom: 552
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.075
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.925
## ---------------------------------------
## Degrees of freedom: 552.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.075
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.925
## ---------------------------------------
## Degrees of freedom: 553
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.075
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.926
## ---------------------------------------
## Degrees of freedom: 553.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.074
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.926
## ---------------------------------------
## Degrees of freedom: 554
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.074
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.926
## ---------------------------------------
## Degrees of freedom: 554.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.074
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.926
## ---------------------------------------
## Degrees of freedom: 555
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.074
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 555.5
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 556
## Standardized standard error: 0.059
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 556.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 557
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.927
## ---------------------------------------
## Degrees of freedom: 557.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.073
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 558
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 558.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 559
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 559.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.928
## ---------------------------------------
## Degrees of freedom: 560
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.072
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 560.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 561
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 561.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 562
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.929
## ---------------------------------------
## Degrees of freedom: 562.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.071
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.93
## ---------------------------------------
## Degrees of freedom: 563
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.07
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.93
## ---------------------------------------
## Degrees of freedom: 563.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.07
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.93
## ---------------------------------------
## Degrees of freedom: 564
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.07
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.93
## ---------------------------------------
## Degrees of freedom: 564.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.07
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.931
## ---------------------------------------
## Degrees of freedom: 565
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.069
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.931
## ---------------------------------------
## Degrees of freedom: 565.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.069
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.931
## ---------------------------------------
## Degrees of freedom: 566
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.069
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.931
## ---------------------------------------
## Degrees of freedom: 566.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.069
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.931
## ---------------------------------------
## Degrees of freedom: 567
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.069
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 567.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 568
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 568.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 569
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.932
## ---------------------------------------
## Degrees of freedom: 569.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.068
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 570
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 570.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 571
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 571.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 572
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.933
## ---------------------------------------
## Degrees of freedom: 572.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.067
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 573
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 573.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 574
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 574.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.934
## ---------------------------------------
## Degrees of freedom: 575
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.066
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 575.5
## Standardized standard error: 0.058
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 576
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 576.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 577
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.935
## ---------------------------------------
## Degrees of freedom: 577.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.065
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 578
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 578.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 579
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 579.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.936
## ---------------------------------------
## Degrees of freedom: 580
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.064
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 580.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 581
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 581.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 582
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 582.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.937
## ---------------------------------------
## Degrees of freedom: 583
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.063
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 583.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 584
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 584.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 585
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.938
## ---------------------------------------
## Degrees of freedom: 585.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.062
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 586
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 586.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 587
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 587.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 588
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.939
## ---------------------------------------
## Degrees of freedom: 588.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.061
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 589
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 589.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 590
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 590.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 591
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.94
## ---------------------------------------
## Degrees of freedom: 591.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.06
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 592
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 592.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 593
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 593.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.941
## ---------------------------------------
## Degrees of freedom: 594
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.059
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 594.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 595
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 595.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 596
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 596.5
## Standardized standard error: 0.057
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.942
## ---------------------------------------
## Degrees of freedom: 597
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.058
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 597.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 598
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 598.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 599
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 599.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.943
## ---------------------------------------
## Degrees of freedom: 600
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.057
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 600.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 601
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 601.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 602
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 602.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.944
## ---------------------------------------
## Degrees of freedom: 603
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.056
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 603.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 604
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 604.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 605
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 605.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.945
## ---------------------------------------
## Degrees of freedom: 606
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.055
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 606.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 607
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 607.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 608
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 608.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 609
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.946
## ---------------------------------------
## Degrees of freedom: 609.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.054
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 610
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 610.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 611
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 611.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 612
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.947
## ---------------------------------------
## Degrees of freedom: 612.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.053
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 613
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 613.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 614
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 614.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 615
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.948
## ---------------------------------------
## Degrees of freedom: 615.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.052
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 616
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 616.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 617
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 617.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 618
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 618.5
## Standardized standard error: 0.056
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.949
## ---------------------------------------
## Degrees of freedom: 619
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.051
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 619.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 620
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 620.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 621
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 621.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 622
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.95
## ---------------------------------------
## Degrees of freedom: 622.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.05
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 623
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 623.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 624
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 624.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 625
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 625.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.951
## ---------------------------------------
## Degrees of freedom: 626
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.049
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 626.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 627
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 627.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 628
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 628.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.952
## ---------------------------------------
## Degrees of freedom: 629
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.048
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 629.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 630
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 630.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 631
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 631.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 632
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 632.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.953
## ---------------------------------------
## Degrees of freedom: 633
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.047
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 633.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 634
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 634.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 635
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 635.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 636
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.954
## ---------------------------------------
## Degrees of freedom: 636.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.046
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 637
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 637.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 638
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 638.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 639
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 639.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.955
## ---------------------------------------
## Degrees of freedom: 640
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.045
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 640.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 641
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 641.5
## Standardized standard error: 0.055
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 642
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 642.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 643
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 643.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.956
## ---------------------------------------
## Degrees of freedom: 644
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.044
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 644.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 645
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 645.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 646
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 646.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 647
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 647.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.957
## ---------------------------------------
## Degrees of freedom: 648
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.043
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 648.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 649
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 649.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 650
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 650.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 651
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.958
## ---------------------------------------
## Degrees of freedom: 651.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.042
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 652
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 652.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 653
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 653.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 654
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 654.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 655
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 655.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.959
## ---------------------------------------
## Degrees of freedom: 656
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.041
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 656.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 657
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 657.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 658
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 658.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 659
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 659.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.96
## ---------------------------------------
## Degrees of freedom: 660
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.04
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 660.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 661
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 661.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 662
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 662.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 663
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 663.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.961
## ---------------------------------------
## Degrees of freedom: 664
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.039
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 664.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 665
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 665.5
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 666
## Standardized standard error: 0.054
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 666.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 667
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 667.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 668
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.962
## ---------------------------------------
## Degrees of freedom: 668.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.038
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 669
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 669.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 670
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 670.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 671
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 671.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 672
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 672.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.963
## ---------------------------------------
## Degrees of freedom: 673
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.037
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 673.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 674
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 674.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 675
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 675.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 676
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 676.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 677
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.964
## ---------------------------------------
## Degrees of freedom: 677.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.036
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 678
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 678.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 679
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 679.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 680
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 680.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 681
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 681.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.965
## ---------------------------------------
## Degrees of freedom: 682
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.035
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 682.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 683
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 683.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 684
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 684.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 685
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 685.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 686
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 686.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.966
## ---------------------------------------
## Degrees of freedom: 687
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.034
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 687.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 688
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 688.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 689
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 689.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 690
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 690.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 691
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 691.5
## Standardized standard error: 0.053
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.967
## ---------------------------------------
## Degrees of freedom: 692
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.033
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 692.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 693
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 693.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 694
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 694.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 695
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 695.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 696
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 696.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.968
## ---------------------------------------
## Degrees of freedom: 697
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.032
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 697.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 698
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 698.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 699
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 699.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 700
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 700.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 701
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 701.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 702
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.969
## ---------------------------------------
## Degrees of freedom: 702.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.031
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 703
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 703.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 704
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 704.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 705
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 705.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 706
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 706.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 707
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.97
## ---------------------------------------
## Degrees of freedom: 707.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.03
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 708
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 708.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 709
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 709.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 710
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 710.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 711
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 711.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 712
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 712.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 713
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.971
## ---------------------------------------
## Degrees of freedom: 713.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.029
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 714
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 714.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 715
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 715.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 716
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 716.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 717
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 717.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 718
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 718.5
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.972
## ---------------------------------------
## Degrees of freedom: 719
## Standardized standard error: 0.052
## Type I error rate: 0.05
## Type II error rate: 0.028
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 719.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 720
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 720.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 721
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 721.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 722
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 722.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 723
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 723.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 724
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 724.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.973
## ---------------------------------------
## Degrees of freedom: 725
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.027
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 725.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 726
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 726.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 727
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 727.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 728
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 728.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 729
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 729.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 730
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 730.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 731
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.974
## ---------------------------------------
## Degrees of freedom: 731.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.026
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 732
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 732.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 733
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 733.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 734
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 734.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 735
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 735.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 736
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 736.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 737
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.975
## ---------------------------------------
## Degrees of freedom: 737.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.025
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 738
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 738.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 739
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 739.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 740
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 740.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 741
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 741.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 742
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 742.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 743
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 743.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 744
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.976
## ---------------------------------------
## Degrees of freedom: 744.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.024
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 745
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 745.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 746
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 746.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 747
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 747.5
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 748
## Standardized standard error: 0.051
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 748.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 749
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 749.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 750
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 750.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 751
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.977
## ---------------------------------------
## Degrees of freedom: 751.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.023
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 752
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 752.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 753
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 753.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 754
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 754.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 755
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 755.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 756
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 756.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 757
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 757.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 758
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.978
## ---------------------------------------
## Degrees of freedom: 758.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.022
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 759
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 759.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 760
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 760.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 761
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 761.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 762
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 762.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 763
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 763.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 764
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 764.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 765
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 765.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 766
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.979
## ---------------------------------------
## Degrees of freedom: 766.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.021
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 767
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 767.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 768
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 768.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 769
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 769.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 770
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 770.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 771
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 771.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 772
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 772.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 773
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 773.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 774
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.98
## ---------------------------------------
## Degrees of freedom: 774.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.02
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 775
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 775.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 776
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 776.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 777
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 777.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 778
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 778.5
## Standardized standard error: 0.05
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 779
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 779.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 780
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 780.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 781
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 781.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 782
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.981
## ---------------------------------------
## Degrees of freedom: 782.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.019
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 783
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 783.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 784
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 784.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 785
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 785.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 786
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 786.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 787
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 787.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 788
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 788.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 789
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 789.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 790
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 790.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 791
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.982
## ---------------------------------------
## Degrees of freedom: 791.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.018
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 792
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 792.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 793
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 793.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 794
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 794.5
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 1
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 2.736
##
##
## Statistical power:
## ---------------------------------------
## 0.983
## ---------------------------------------
## Degrees of freedom: 795
## Standardized standard error: 0.049
## Type I error rate: 0.05
## Type II error rate: 0.017
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity designplot(crd2, ypar = "power", xpar = "n2",
ylim = c(.10, .85), xlim = c(10, 800),
ylab = "Power (for ES = .20)", xlab = "Number of Clusters",
main = expression(CRD (S + S^2 + TS + TS^2)), locate = TRUE)##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.057
## ---------------------------------------
## Degrees of freedom: 3
## Standardized standard error: 0.592
## Type I error rate: 0.05
## Type II error rate: 0.943
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.058
## ---------------------------------------
## Degrees of freedom: 3.5
## Standardized standard error: 0.578
## Type I error rate: 0.05
## Type II error rate: 0.942
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.059
## ---------------------------------------
## Degrees of freedom: 4
## Standardized standard error: 0.564
## Type I error rate: 0.05
## Type II error rate: 0.941
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.06
## ---------------------------------------
## Degrees of freedom: 4.5
## Standardized standard error: 0.552
## Type I error rate: 0.05
## Type II error rate: 0.94
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.061
## ---------------------------------------
## Degrees of freedom: 5
## Standardized standard error: 0.54
## Type I error rate: 0.05
## Type II error rate: 0.939
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.062
## ---------------------------------------
## Degrees of freedom: 5.5
## Standardized standard error: 0.53
## Type I error rate: 0.05
## Type II error rate: 0.938
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.062
## ---------------------------------------
## Degrees of freedom: 6
## Standardized standard error: 0.519
## Type I error rate: 0.05
## Type II error rate: 0.938
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.063
## ---------------------------------------
## Degrees of freedom: 6.5
## Standardized standard error: 0.51
## Type I error rate: 0.05
## Type II error rate: 0.937
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.064
## ---------------------------------------
## Degrees of freedom: 7
## Standardized standard error: 0.5
## Type I error rate: 0.05
## Type II error rate: 0.936
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.065
## ---------------------------------------
## Degrees of freedom: 7.5
## Standardized standard error: 0.492
## Type I error rate: 0.05
## Type II error rate: 0.935
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.066
## ---------------------------------------
## Degrees of freedom: 8
## Standardized standard error: 0.483
## Type I error rate: 0.05
## Type II error rate: 0.934
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.066
## ---------------------------------------
## Degrees of freedom: 8.5
## Standardized standard error: 0.476
## Type I error rate: 0.05
## Type II error rate: 0.934
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.067
## ---------------------------------------
## Degrees of freedom: 9
## Standardized standard error: 0.468
## Type I error rate: 0.05
## Type II error rate: 0.933
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.068
## ---------------------------------------
## Degrees of freedom: 9.5
## Standardized standard error: 0.461
## Type I error rate: 0.05
## Type II error rate: 0.932
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.069
## ---------------------------------------
## Degrees of freedom: 10
## Standardized standard error: 0.454
## Type I error rate: 0.05
## Type II error rate: 0.931
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.069
## ---------------------------------------
## Degrees of freedom: 10.5
## Standardized standard error: 0.448
## Type I error rate: 0.05
## Type II error rate: 0.931
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.07
## ---------------------------------------
## Degrees of freedom: 11
## Standardized standard error: 0.441
## Type I error rate: 0.05
## Type II error rate: 0.93
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.071
## ---------------------------------------
## Degrees of freedom: 11.5
## Standardized standard error: 0.435
## Type I error rate: 0.05
## Type II error rate: 0.929
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.071
## ---------------------------------------
## Degrees of freedom: 12
## Standardized standard error: 0.43
## Type I error rate: 0.05
## Type II error rate: 0.929
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.072
## ---------------------------------------
## Degrees of freedom: 12.5
## Standardized standard error: 0.424
## Type I error rate: 0.05
## Type II error rate: 0.928
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.073
## ---------------------------------------
## Degrees of freedom: 13
## Standardized standard error: 0.419
## Type I error rate: 0.05
## Type II error rate: 0.927
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.074
## ---------------------------------------
## Degrees of freedom: 13.5
## Standardized standard error: 0.413
## Type I error rate: 0.05
## Type II error rate: 0.926
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.074
## ---------------------------------------
## Degrees of freedom: 14
## Standardized standard error: 0.409
## Type I error rate: 0.05
## Type II error rate: 0.926
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.075
## ---------------------------------------
## Degrees of freedom: 14.5
## Standardized standard error: 0.404
## Type I error rate: 0.05
## Type II error rate: 0.925
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.076
## ---------------------------------------
## Degrees of freedom: 15
## Standardized standard error: 0.399
## Type I error rate: 0.05
## Type II error rate: 0.924
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.076
## ---------------------------------------
## Degrees of freedom: 15.5
## Standardized standard error: 0.395
## Type I error rate: 0.05
## Type II error rate: 0.924
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.077
## ---------------------------------------
## Degrees of freedom: 16
## Standardized standard error: 0.39
## Type I error rate: 0.05
## Type II error rate: 0.923
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.078
## ---------------------------------------
## Degrees of freedom: 16.5
## Standardized standard error: 0.386
## Type I error rate: 0.05
## Type II error rate: 0.922
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.078
## ---------------------------------------
## Degrees of freedom: 17
## Standardized standard error: 0.382
## Type I error rate: 0.05
## Type II error rate: 0.922
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.079
## ---------------------------------------
## Degrees of freedom: 17.5
## Standardized standard error: 0.378
## Type I error rate: 0.05
## Type II error rate: 0.921
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.08
## ---------------------------------------
## Degrees of freedom: 18
## Standardized standard error: 0.374
## Type I error rate: 0.05
## Type II error rate: 0.92
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.081
## ---------------------------------------
## Degrees of freedom: 18.5
## Standardized standard error: 0.371
## Type I error rate: 0.05
## Type II error rate: 0.919
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.081
## ---------------------------------------
## Degrees of freedom: 19
## Standardized standard error: 0.367
## Type I error rate: 0.05
## Type II error rate: 0.919
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.082
## ---------------------------------------
## Degrees of freedom: 19.5
## Standardized standard error: 0.364
## Type I error rate: 0.05
## Type II error rate: 0.918
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.083
## ---------------------------------------
## Degrees of freedom: 20
## Standardized standard error: 0.36
## Type I error rate: 0.05
## Type II error rate: 0.917
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.083
## ---------------------------------------
## Degrees of freedom: 20.5
## Standardized standard error: 0.357
## Type I error rate: 0.05
## Type II error rate: 0.917
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.084
## ---------------------------------------
## Degrees of freedom: 21
## Standardized standard error: 0.354
## Type I error rate: 0.05
## Type II error rate: 0.916
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.085
## ---------------------------------------
## Degrees of freedom: 21.5
## Standardized standard error: 0.351
## Type I error rate: 0.05
## Type II error rate: 0.915
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.085
## ---------------------------------------
## Degrees of freedom: 22
## Standardized standard error: 0.348
## Type I error rate: 0.05
## Type II error rate: 0.915
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.086
## ---------------------------------------
## Degrees of freedom: 22.5
## Standardized standard error: 0.345
## Type I error rate: 0.05
## Type II error rate: 0.914
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.087
## ---------------------------------------
## Degrees of freedom: 23
## Standardized standard error: 0.342
## Type I error rate: 0.05
## Type II error rate: 0.913
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.087
## ---------------------------------------
## Degrees of freedom: 23.5
## Standardized standard error: 0.339
## Type I error rate: 0.05
## Type II error rate: 0.913
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.088
## ---------------------------------------
## Degrees of freedom: 24
## Standardized standard error: 0.336
## Type I error rate: 0.05
## Type II error rate: 0.912
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.089
## ---------------------------------------
## Degrees of freedom: 24.5
## Standardized standard error: 0.334
## Type I error rate: 0.05
## Type II error rate: 0.911
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.09
## ---------------------------------------
## Degrees of freedom: 25
## Standardized standard error: 0.331
## Type I error rate: 0.05
## Type II error rate: 0.91
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.09
## ---------------------------------------
## Degrees of freedom: 25.5
## Standardized standard error: 0.328
## Type I error rate: 0.05
## Type II error rate: 0.91
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.091
## ---------------------------------------
## Degrees of freedom: 26
## Standardized standard error: 0.326
## Type I error rate: 0.05
## Type II error rate: 0.909
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.092
## ---------------------------------------
## Degrees of freedom: 26.5
## Standardized standard error: 0.323
## Type I error rate: 0.05
## Type II error rate: 0.908
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.092
## ---------------------------------------
## Degrees of freedom: 27
## Standardized standard error: 0.321
## Type I error rate: 0.05
## Type II error rate: 0.908
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.093
## ---------------------------------------
## Degrees of freedom: 27.5
## Standardized standard error: 0.319
## Type I error rate: 0.05
## Type II error rate: 0.907
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.094
## ---------------------------------------
## Degrees of freedom: 28
## Standardized standard error: 0.316
## Type I error rate: 0.05
## Type II error rate: 0.906
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.094
## ---------------------------------------
## Degrees of freedom: 28.5
## Standardized standard error: 0.314
## Type I error rate: 0.05
## Type II error rate: 0.906
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.095
## ---------------------------------------
## Degrees of freedom: 29
## Standardized standard error: 0.312
## Type I error rate: 0.05
## Type II error rate: 0.905
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.096
## ---------------------------------------
## Degrees of freedom: 29.5
## Standardized standard error: 0.31
## Type I error rate: 0.05
## Type II error rate: 0.904
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.096
## ---------------------------------------
## Degrees of freedom: 30
## Standardized standard error: 0.308
## Type I error rate: 0.05
## Type II error rate: 0.904
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.097
## ---------------------------------------
## Degrees of freedom: 30.5
## Standardized standard error: 0.306
## Type I error rate: 0.05
## Type II error rate: 0.903
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.098
## ---------------------------------------
## Degrees of freedom: 31
## Standardized standard error: 0.304
## Type I error rate: 0.05
## Type II error rate: 0.902
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.099
## ---------------------------------------
## Degrees of freedom: 31.5
## Standardized standard error: 0.302
## Type I error rate: 0.05
## Type II error rate: 0.901
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.099
## ---------------------------------------
## Degrees of freedom: 32
## Standardized standard error: 0.3
## Type I error rate: 0.05
## Type II error rate: 0.901
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.1
## ---------------------------------------
## Degrees of freedom: 32.5
## Standardized standard error: 0.298
## Type I error rate: 0.05
## Type II error rate: 0.9
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.101
## ---------------------------------------
## Degrees of freedom: 33
## Standardized standard error: 0.296
## Type I error rate: 0.05
## Type II error rate: 0.899
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.101
## ---------------------------------------
## Degrees of freedom: 33.5
## Standardized standard error: 0.294
## Type I error rate: 0.05
## Type II error rate: 0.899
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.102
## ---------------------------------------
## Degrees of freedom: 34
## Standardized standard error: 0.292
## Type I error rate: 0.05
## Type II error rate: 0.898
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.103
## ---------------------------------------
## Degrees of freedom: 34.5
## Standardized standard error: 0.291
## Type I error rate: 0.05
## Type II error rate: 0.897
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.103
## ---------------------------------------
## Degrees of freedom: 35
## Standardized standard error: 0.289
## Type I error rate: 0.05
## Type II error rate: 0.897
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.104
## ---------------------------------------
## Degrees of freedom: 35.5
## Standardized standard error: 0.287
## Type I error rate: 0.05
## Type II error rate: 0.896
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.105
## ---------------------------------------
## Degrees of freedom: 36
## Standardized standard error: 0.286
## Type I error rate: 0.05
## Type II error rate: 0.895
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.105
## ---------------------------------------
## Degrees of freedom: 36.5
## Standardized standard error: 0.284
## Type I error rate: 0.05
## Type II error rate: 0.895
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.106
## ---------------------------------------
## Degrees of freedom: 37
## Standardized standard error: 0.282
## Type I error rate: 0.05
## Type II error rate: 0.894
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.107
## ---------------------------------------
## Degrees of freedom: 37.5
## Standardized standard error: 0.281
## Type I error rate: 0.05
## Type II error rate: 0.893
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.108
## ---------------------------------------
## Degrees of freedom: 38
## Standardized standard error: 0.279
## Type I error rate: 0.05
## Type II error rate: 0.892
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.108
## ---------------------------------------
## Degrees of freedom: 38.5
## Standardized standard error: 0.278
## Type I error rate: 0.05
## Type II error rate: 0.892
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.109
## ---------------------------------------
## Degrees of freedom: 39
## Standardized standard error: 0.276
## Type I error rate: 0.05
## Type II error rate: 0.891
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.11
## ---------------------------------------
## Degrees of freedom: 39.5
## Standardized standard error: 0.275
## Type I error rate: 0.05
## Type II error rate: 0.89
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.11
## ---------------------------------------
## Degrees of freedom: 40
## Standardized standard error: 0.273
## Type I error rate: 0.05
## Type II error rate: 0.89
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.111
## ---------------------------------------
## Degrees of freedom: 40.5
## Standardized standard error: 0.272
## Type I error rate: 0.05
## Type II error rate: 0.889
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.112
## ---------------------------------------
## Degrees of freedom: 41
## Standardized standard error: 0.27
## Type I error rate: 0.05
## Type II error rate: 0.888
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.112
## ---------------------------------------
## Degrees of freedom: 41.5
## Standardized standard error: 0.269
## Type I error rate: 0.05
## Type II error rate: 0.888
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.113
## ---------------------------------------
## Degrees of freedom: 42
## Standardized standard error: 0.267
## Type I error rate: 0.05
## Type II error rate: 0.887
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.114
## ---------------------------------------
## Degrees of freedom: 42.5
## Standardized standard error: 0.266
## Type I error rate: 0.05
## Type II error rate: 0.886
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.114
## ---------------------------------------
## Degrees of freedom: 43
## Standardized standard error: 0.265
## Type I error rate: 0.05
## Type II error rate: 0.886
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.115
## ---------------------------------------
## Degrees of freedom: 43.5
## Standardized standard error: 0.263
## Type I error rate: 0.05
## Type II error rate: 0.885
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.116
## ---------------------------------------
## Degrees of freedom: 44
## Standardized standard error: 0.262
## Type I error rate: 0.05
## Type II error rate: 0.884
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.117
## ---------------------------------------
## Degrees of freedom: 44.5
## Standardized standard error: 0.261
## Type I error rate: 0.05
## Type II error rate: 0.883
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.117
## ---------------------------------------
## Degrees of freedom: 45
## Standardized standard error: 0.26
## Type I error rate: 0.05
## Type II error rate: 0.883
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.118
## ---------------------------------------
## Degrees of freedom: 45.5
## Standardized standard error: 0.258
## Type I error rate: 0.05
## Type II error rate: 0.882
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.119
## ---------------------------------------
## Degrees of freedom: 46
## Standardized standard error: 0.257
## Type I error rate: 0.05
## Type II error rate: 0.881
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.119
## ---------------------------------------
## Degrees of freedom: 46.5
## Standardized standard error: 0.256
## Type I error rate: 0.05
## Type II error rate: 0.881
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.12
## ---------------------------------------
## Degrees of freedom: 47
## Standardized standard error: 0.255
## Type I error rate: 0.05
## Type II error rate: 0.88
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.121
## ---------------------------------------
## Degrees of freedom: 47.5
## Standardized standard error: 0.254
## Type I error rate: 0.05
## Type II error rate: 0.879
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.121
## ---------------------------------------
## Degrees of freedom: 48
## Standardized standard error: 0.252
## Type I error rate: 0.05
## Type II error rate: 0.879
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.122
## ---------------------------------------
## Degrees of freedom: 48.5
## Standardized standard error: 0.251
## Type I error rate: 0.05
## Type II error rate: 0.878
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.123
## ---------------------------------------
## Degrees of freedom: 49
## Standardized standard error: 0.25
## Type I error rate: 0.05
## Type II error rate: 0.877
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.124
## ---------------------------------------
## Degrees of freedom: 49.5
## Standardized standard error: 0.249
## Type I error rate: 0.05
## Type II error rate: 0.876
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.124
## ---------------------------------------
## Degrees of freedom: 50
## Standardized standard error: 0.248
## Type I error rate: 0.05
## Type II error rate: 0.876
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.125
## ---------------------------------------
## Degrees of freedom: 50.5
## Standardized standard error: 0.247
## Type I error rate: 0.05
## Type II error rate: 0.875
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.126
## ---------------------------------------
## Degrees of freedom: 51
## Standardized standard error: 0.246
## Type I error rate: 0.05
## Type II error rate: 0.874
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.126
## ---------------------------------------
## Degrees of freedom: 51.5
## Standardized standard error: 0.245
## Type I error rate: 0.05
## Type II error rate: 0.874
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.127
## ---------------------------------------
## Degrees of freedom: 52
## Standardized standard error: 0.244
## Type I error rate: 0.05
## Type II error rate: 0.873
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.128
## ---------------------------------------
## Degrees of freedom: 52.5
## Standardized standard error: 0.243
## Type I error rate: 0.05
## Type II error rate: 0.872
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.128
## ---------------------------------------
## Degrees of freedom: 53
## Standardized standard error: 0.242
## Type I error rate: 0.05
## Type II error rate: 0.872
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.129
## ---------------------------------------
## Degrees of freedom: 53.5
## Standardized standard error: 0.241
## Type I error rate: 0.05
## Type II error rate: 0.871
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.13
## ---------------------------------------
## Degrees of freedom: 54
## Standardized standard error: 0.24
## Type I error rate: 0.05
## Type II error rate: 0.87
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.13
## ---------------------------------------
## Degrees of freedom: 54.5
## Standardized standard error: 0.239
## Type I error rate: 0.05
## Type II error rate: 0.87
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.131
## ---------------------------------------
## Degrees of freedom: 55
## Standardized standard error: 0.238
## Type I error rate: 0.05
## Type II error rate: 0.869
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.132
## ---------------------------------------
## Degrees of freedom: 55.5
## Standardized standard error: 0.237
## Type I error rate: 0.05
## Type II error rate: 0.868
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.133
## ---------------------------------------
## Degrees of freedom: 56
## Standardized standard error: 0.236
## Type I error rate: 0.05
## Type II error rate: 0.867
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.133
## ---------------------------------------
## Degrees of freedom: 56.5
## Standardized standard error: 0.235
## Type I error rate: 0.05
## Type II error rate: 0.867
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.134
## ---------------------------------------
## Degrees of freedom: 57
## Standardized standard error: 0.234
## Type I error rate: 0.05
## Type II error rate: 0.866
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.135
## ---------------------------------------
## Degrees of freedom: 57.5
## Standardized standard error: 0.233
## Type I error rate: 0.05
## Type II error rate: 0.865
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.135
## ---------------------------------------
## Degrees of freedom: 58
## Standardized standard error: 0.232
## Type I error rate: 0.05
## Type II error rate: 0.865
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.136
## ---------------------------------------
## Degrees of freedom: 58.5
## Standardized standard error: 0.231
## Type I error rate: 0.05
## Type II error rate: 0.864
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.137
## ---------------------------------------
## Degrees of freedom: 59
## Standardized standard error: 0.23
## Type I error rate: 0.05
## Type II error rate: 0.863
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.137
## ---------------------------------------
## Degrees of freedom: 59.5
## Standardized standard error: 0.23
## Type I error rate: 0.05
## Type II error rate: 0.863
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.138
## ---------------------------------------
## Degrees of freedom: 60
## Standardized standard error: 0.229
## Type I error rate: 0.05
## Type II error rate: 0.862
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.139
## ---------------------------------------
## Degrees of freedom: 60.5
## Standardized standard error: 0.228
## Type I error rate: 0.05
## Type II error rate: 0.861
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.14
## ---------------------------------------
## Degrees of freedom: 61
## Standardized standard error: 0.227
## Type I error rate: 0.05
## Type II error rate: 0.86
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.14
## ---------------------------------------
## Degrees of freedom: 61.5
## Standardized standard error: 0.226
## Type I error rate: 0.05
## Type II error rate: 0.86
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.141
## ---------------------------------------
## Degrees of freedom: 62
## Standardized standard error: 0.225
## Type I error rate: 0.05
## Type II error rate: 0.859
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.142
## ---------------------------------------
## Degrees of freedom: 62.5
## Standardized standard error: 0.225
## Type I error rate: 0.05
## Type II error rate: 0.858
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.142
## ---------------------------------------
## Degrees of freedom: 63
## Standardized standard error: 0.224
## Type I error rate: 0.05
## Type II error rate: 0.858
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.143
## ---------------------------------------
## Degrees of freedom: 63.5
## Standardized standard error: 0.223
## Type I error rate: 0.05
## Type II error rate: 0.857
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.144
## ---------------------------------------
## Degrees of freedom: 64
## Standardized standard error: 0.222
## Type I error rate: 0.05
## Type II error rate: 0.856
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.144
## ---------------------------------------
## Degrees of freedom: 64.5
## Standardized standard error: 0.221
## Type I error rate: 0.05
## Type II error rate: 0.856
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.145
## ---------------------------------------
## Degrees of freedom: 65
## Standardized standard error: 0.221
## Type I error rate: 0.05
## Type II error rate: 0.855
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.146
## ---------------------------------------
## Degrees of freedom: 65.5
## Standardized standard error: 0.22
## Type I error rate: 0.05
## Type II error rate: 0.854
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.147
## ---------------------------------------
## Degrees of freedom: 66
## Standardized standard error: 0.219
## Type I error rate: 0.05
## Type II error rate: 0.853
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.147
## ---------------------------------------
## Degrees of freedom: 66.5
## Standardized standard error: 0.218
## Type I error rate: 0.05
## Type II error rate: 0.853
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.148
## ---------------------------------------
## Degrees of freedom: 67
## Standardized standard error: 0.218
## Type I error rate: 0.05
## Type II error rate: 0.852
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.149
## ---------------------------------------
## Degrees of freedom: 67.5
## Standardized standard error: 0.217
## Type I error rate: 0.05
## Type II error rate: 0.851
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.149
## ---------------------------------------
## Degrees of freedom: 68
## Standardized standard error: 0.216
## Type I error rate: 0.05
## Type II error rate: 0.851
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.15
## ---------------------------------------
## Degrees of freedom: 68.5
## Standardized standard error: 0.215
## Type I error rate: 0.05
## Type II error rate: 0.85
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.151
## ---------------------------------------
## Degrees of freedom: 69
## Standardized standard error: 0.215
## Type I error rate: 0.05
## Type II error rate: 0.849
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.152
## ---------------------------------------
## Degrees of freedom: 69.5
## Standardized standard error: 0.214
## Type I error rate: 0.05
## Type II error rate: 0.848
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.152
## ---------------------------------------
## Degrees of freedom: 70
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.848
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.153
## ---------------------------------------
## Degrees of freedom: 70.5
## Standardized standard error: 0.213
## Type I error rate: 0.05
## Type II error rate: 0.847
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.154
## ---------------------------------------
## Degrees of freedom: 71
## Standardized standard error: 0.212
## Type I error rate: 0.05
## Type II error rate: 0.846
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.154
## ---------------------------------------
## Degrees of freedom: 71.5
## Standardized standard error: 0.211
## Type I error rate: 0.05
## Type II error rate: 0.846
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.155
## ---------------------------------------
## Degrees of freedom: 72
## Standardized standard error: 0.211
## Type I error rate: 0.05
## Type II error rate: 0.845
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.156
## ---------------------------------------
## Degrees of freedom: 72.5
## Standardized standard error: 0.21
## Type I error rate: 0.05
## Type II error rate: 0.844
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.156
## ---------------------------------------
## Degrees of freedom: 73
## Standardized standard error: 0.209
## Type I error rate: 0.05
## Type II error rate: 0.844
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.157
## ---------------------------------------
## Degrees of freedom: 73.5
## Standardized standard error: 0.209
## Type I error rate: 0.05
## Type II error rate: 0.843
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.158
## ---------------------------------------
## Degrees of freedom: 74
## Standardized standard error: 0.208
## Type I error rate: 0.05
## Type II error rate: 0.842
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.159
## ---------------------------------------
## Degrees of freedom: 74.5
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.841
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.159
## ---------------------------------------
## Degrees of freedom: 75
## Standardized standard error: 0.207
## Type I error rate: 0.05
## Type II error rate: 0.841
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.16
## ---------------------------------------
## Degrees of freedom: 75.5
## Standardized standard error: 0.206
## Type I error rate: 0.05
## Type II error rate: 0.84
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.161
## ---------------------------------------
## Degrees of freedom: 76
## Standardized standard error: 0.205
## Type I error rate: 0.05
## Type II error rate: 0.839
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.161
## ---------------------------------------
## Degrees of freedom: 76.5
## Standardized standard error: 0.205
## Type I error rate: 0.05
## Type II error rate: 0.839
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.162
## ---------------------------------------
## Degrees of freedom: 77
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.838
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.163
## ---------------------------------------
## Degrees of freedom: 77.5
## Standardized standard error: 0.204
## Type I error rate: 0.05
## Type II error rate: 0.837
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.163
## ---------------------------------------
## Degrees of freedom: 78
## Standardized standard error: 0.203
## Type I error rate: 0.05
## Type II error rate: 0.837
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.164
## ---------------------------------------
## Degrees of freedom: 78.5
## Standardized standard error: 0.202
## Type I error rate: 0.05
## Type II error rate: 0.836
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.165
## ---------------------------------------
## Degrees of freedom: 79
## Standardized standard error: 0.202
## Type I error rate: 0.05
## Type II error rate: 0.835
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.166
## ---------------------------------------
## Degrees of freedom: 79.5
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.834
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.166
## ---------------------------------------
## Degrees of freedom: 80
## Standardized standard error: 0.201
## Type I error rate: 0.05
## Type II error rate: 0.834
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.167
## ---------------------------------------
## Degrees of freedom: 80.5
## Standardized standard error: 0.2
## Type I error rate: 0.05
## Type II error rate: 0.833
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.168
## ---------------------------------------
## Degrees of freedom: 81
## Standardized standard error: 0.2
## Type I error rate: 0.05
## Type II error rate: 0.832
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.168
## ---------------------------------------
## Degrees of freedom: 81.5
## Standardized standard error: 0.199
## Type I error rate: 0.05
## Type II error rate: 0.832
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.169
## ---------------------------------------
## Degrees of freedom: 82
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.831
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.17
## ---------------------------------------
## Degrees of freedom: 82.5
## Standardized standard error: 0.198
## Type I error rate: 0.05
## Type II error rate: 0.83
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.171
## ---------------------------------------
## Degrees of freedom: 83
## Standardized standard error: 0.197
## Type I error rate: 0.05
## Type II error rate: 0.829
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.171
## ---------------------------------------
## Degrees of freedom: 83.5
## Standardized standard error: 0.197
## Type I error rate: 0.05
## Type II error rate: 0.829
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.172
## ---------------------------------------
## Degrees of freedom: 84
## Standardized standard error: 0.196
## Type I error rate: 0.05
## Type II error rate: 0.828
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.173
## ---------------------------------------
## Degrees of freedom: 84.5
## Standardized standard error: 0.196
## Type I error rate: 0.05
## Type II error rate: 0.827
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.173
## ---------------------------------------
## Degrees of freedom: 85
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.827
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.174
## ---------------------------------------
## Degrees of freedom: 85.5
## Standardized standard error: 0.195
## Type I error rate: 0.05
## Type II error rate: 0.826
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.175
## ---------------------------------------
## Degrees of freedom: 86
## Standardized standard error: 0.194
## Type I error rate: 0.05
## Type II error rate: 0.825
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.175
## ---------------------------------------
## Degrees of freedom: 86.5
## Standardized standard error: 0.194
## Type I error rate: 0.05
## Type II error rate: 0.825
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.176
## ---------------------------------------
## Degrees of freedom: 87
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.824
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.177
## ---------------------------------------
## Degrees of freedom: 87.5
## Standardized standard error: 0.193
## Type I error rate: 0.05
## Type II error rate: 0.823
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.178
## ---------------------------------------
## Degrees of freedom: 88
## Standardized standard error: 0.192
## Type I error rate: 0.05
## Type II error rate: 0.822
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.178
## ---------------------------------------
## Degrees of freedom: 88.5
## Standardized standard error: 0.192
## Type I error rate: 0.05
## Type II error rate: 0.822
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.179
## ---------------------------------------
## Degrees of freedom: 89
## Standardized standard error: 0.191
## Type I error rate: 0.05
## Type II error rate: 0.821
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.18
## ---------------------------------------
## Degrees of freedom: 89.5
## Standardized standard error: 0.191
## Type I error rate: 0.05
## Type II error rate: 0.82
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.18
## ---------------------------------------
## Degrees of freedom: 90
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.82
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.181
## ---------------------------------------
## Degrees of freedom: 90.5
## Standardized standard error: 0.19
## Type I error rate: 0.05
## Type II error rate: 0.819
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.182
## ---------------------------------------
## Degrees of freedom: 91
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.818
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.183
## ---------------------------------------
## Degrees of freedom: 91.5
## Standardized standard error: 0.189
## Type I error rate: 0.05
## Type II error rate: 0.817
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.183
## ---------------------------------------
## Degrees of freedom: 92
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.817
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.184
## ---------------------------------------
## Degrees of freedom: 92.5
## Standardized standard error: 0.188
## Type I error rate: 0.05
## Type II error rate: 0.816
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.185
## ---------------------------------------
## Degrees of freedom: 93
## Standardized standard error: 0.187
## Type I error rate: 0.05
## Type II error rate: 0.815
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.185
## ---------------------------------------
## Degrees of freedom: 93.5
## Standardized standard error: 0.187
## Type I error rate: 0.05
## Type II error rate: 0.815
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.186
## ---------------------------------------
## Degrees of freedom: 94
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.814
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.187
## ---------------------------------------
## Degrees of freedom: 94.5
## Standardized standard error: 0.186
## Type I error rate: 0.05
## Type II error rate: 0.813
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.187
## ---------------------------------------
## Degrees of freedom: 95
## Standardized standard error: 0.185
## Type I error rate: 0.05
## Type II error rate: 0.813
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.188
## ---------------------------------------
## Degrees of freedom: 95.5
## Standardized standard error: 0.185
## Type I error rate: 0.05
## Type II error rate: 0.812
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.189
## ---------------------------------------
## Degrees of freedom: 96
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.811
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.19
## ---------------------------------------
## Degrees of freedom: 96.5
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.81
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.19
## ---------------------------------------
## Degrees of freedom: 97
## Standardized standard error: 0.184
## Type I error rate: 0.05
## Type II error rate: 0.81
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.191
## ---------------------------------------
## Degrees of freedom: 97.5
## Standardized standard error: 0.183
## Type I error rate: 0.05
## Type II error rate: 0.809
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.192
## ---------------------------------------
## Degrees of freedom: 98
## Standardized standard error: 0.183
## Type I error rate: 0.05
## Type II error rate: 0.808
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.192
## ---------------------------------------
## Degrees of freedom: 98.5
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.808
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.193
## ---------------------------------------
## Degrees of freedom: 99
## Standardized standard error: 0.182
## Type I error rate: 0.05
## Type II error rate: 0.807
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.194
## ---------------------------------------
## Degrees of freedom: 99.5
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.806
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.195
## ---------------------------------------
## Degrees of freedom: 100
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.805
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.195
## ---------------------------------------
## Degrees of freedom: 100.5
## Standardized standard error: 0.181
## Type I error rate: 0.05
## Type II error rate: 0.805
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.196
## ---------------------------------------
## Degrees of freedom: 101
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.804
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.197
## ---------------------------------------
## Degrees of freedom: 101.5
## Standardized standard error: 0.18
## Type I error rate: 0.05
## Type II error rate: 0.803
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.197
## ---------------------------------------
## Degrees of freedom: 102
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.803
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.198
## ---------------------------------------
## Degrees of freedom: 102.5
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.802
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.199
## ---------------------------------------
## Degrees of freedom: 103
## Standardized standard error: 0.179
## Type I error rate: 0.05
## Type II error rate: 0.801
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.199
## ---------------------------------------
## Degrees of freedom: 103.5
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.801
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.2
## ---------------------------------------
## Degrees of freedom: 104
## Standardized standard error: 0.178
## Type I error rate: 0.05
## Type II error rate: 0.8
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.201
## ---------------------------------------
## Degrees of freedom: 104.5
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.799
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.202
## ---------------------------------------
## Degrees of freedom: 105
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.798
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.202
## ---------------------------------------
## Degrees of freedom: 105.5
## Standardized standard error: 0.177
## Type I error rate: 0.05
## Type II error rate: 0.798
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.203
## ---------------------------------------
## Degrees of freedom: 106
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.797
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.204
## ---------------------------------------
## Degrees of freedom: 106.5
## Standardized standard error: 0.176
## Type I error rate: 0.05
## Type II error rate: 0.796
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.204
## ---------------------------------------
## Degrees of freedom: 107
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.796
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.205
## ---------------------------------------
## Degrees of freedom: 107.5
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.795
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.206
## ---------------------------------------
## Degrees of freedom: 108
## Standardized standard error: 0.175
## Type I error rate: 0.05
## Type II error rate: 0.794
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.207
## ---------------------------------------
## Degrees of freedom: 108.5
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.793
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.207
## ---------------------------------------
## Degrees of freedom: 109
## Standardized standard error: 0.174
## Type I error rate: 0.05
## Type II error rate: 0.793
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.208
## ---------------------------------------
## Degrees of freedom: 109.5
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.792
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.209
## ---------------------------------------
## Degrees of freedom: 110
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.791
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.209
## ---------------------------------------
## Degrees of freedom: 110.5
## Standardized standard error: 0.173
## Type I error rate: 0.05
## Type II error rate: 0.791
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.21
## ---------------------------------------
## Degrees of freedom: 111
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.79
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.211
## ---------------------------------------
## Degrees of freedom: 111.5
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.789
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.211
## ---------------------------------------
## Degrees of freedom: 112
## Standardized standard error: 0.172
## Type I error rate: 0.05
## Type II error rate: 0.789
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.212
## ---------------------------------------
## Degrees of freedom: 112.5
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.788
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.213
## ---------------------------------------
## Degrees of freedom: 113
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.787
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.214
## ---------------------------------------
## Degrees of freedom: 113.5
## Standardized standard error: 0.171
## Type I error rate: 0.05
## Type II error rate: 0.786
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.214
## ---------------------------------------
## Degrees of freedom: 114
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.786
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.215
## ---------------------------------------
## Degrees of freedom: 114.5
## Standardized standard error: 0.17
## Type I error rate: 0.05
## Type II error rate: 0.785
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.216
## ---------------------------------------
## Degrees of freedom: 115
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.784
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.216
## ---------------------------------------
## Degrees of freedom: 115.5
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.784
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.217
## ---------------------------------------
## Degrees of freedom: 116
## Standardized standard error: 0.169
## Type I error rate: 0.05
## Type II error rate: 0.783
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.218
## ---------------------------------------
## Degrees of freedom: 116.5
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.782
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.219
## ---------------------------------------
## Degrees of freedom: 117
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.781
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.219
## ---------------------------------------
## Degrees of freedom: 117.5
## Standardized standard error: 0.168
## Type I error rate: 0.05
## Type II error rate: 0.781
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.22
## ---------------------------------------
## Degrees of freedom: 118
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.78
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.221
## ---------------------------------------
## Degrees of freedom: 118.5
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.779
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.221
## ---------------------------------------
## Degrees of freedom: 119
## Standardized standard error: 0.167
## Type I error rate: 0.05
## Type II error rate: 0.779
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.222
## ---------------------------------------
## Degrees of freedom: 119.5
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.778
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.223
## ---------------------------------------
## Degrees of freedom: 120
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.777
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.223
## ---------------------------------------
## Degrees of freedom: 120.5
## Standardized standard error: 0.166
## Type I error rate: 0.05
## Type II error rate: 0.777
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.224
## ---------------------------------------
## Degrees of freedom: 121
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.776
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.225
## ---------------------------------------
## Degrees of freedom: 121.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.775
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.226
## ---------------------------------------
## Degrees of freedom: 122
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.774
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.226
## ---------------------------------------
## Degrees of freedom: 122.5
## Standardized standard error: 0.165
## Type I error rate: 0.05
## Type II error rate: 0.774
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.227
## ---------------------------------------
## Degrees of freedom: 123
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.773
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.228
## ---------------------------------------
## Degrees of freedom: 123.5
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.772
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.228
## ---------------------------------------
## Degrees of freedom: 124
## Standardized standard error: 0.164
## Type I error rate: 0.05
## Type II error rate: 0.772
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.229
## ---------------------------------------
## Degrees of freedom: 124.5
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.771
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.23
## ---------------------------------------
## Degrees of freedom: 125
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.77
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.23
## ---------------------------------------
## Degrees of freedom: 125.5
## Standardized standard error: 0.163
## Type I error rate: 0.05
## Type II error rate: 0.77
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.231
## ---------------------------------------
## Degrees of freedom: 126
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.769
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.232
## ---------------------------------------
## Degrees of freedom: 126.5
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.768
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.233
## ---------------------------------------
## Degrees of freedom: 127
## Standardized standard error: 0.162
## Type I error rate: 0.05
## Type II error rate: 0.767
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.233
## ---------------------------------------
## Degrees of freedom: 127.5
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.767
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.234
## ---------------------------------------
## Degrees of freedom: 128
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.766
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.235
## ---------------------------------------
## Degrees of freedom: 128.5
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.765
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.235
## ---------------------------------------
## Degrees of freedom: 129
## Standardized standard error: 0.161
## Type I error rate: 0.05
## Type II error rate: 0.765
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.236
## ---------------------------------------
## Degrees of freedom: 129.5
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.764
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.237
## ---------------------------------------
## Degrees of freedom: 130
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.763
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.238
## ---------------------------------------
## Degrees of freedom: 130.5
## Standardized standard error: 0.16
## Type I error rate: 0.05
## Type II error rate: 0.762
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.238
## ---------------------------------------
## Degrees of freedom: 131
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.762
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.239
## ---------------------------------------
## Degrees of freedom: 131.5
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.761
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.24
## ---------------------------------------
## Degrees of freedom: 132
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.76
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.24
## ---------------------------------------
## Degrees of freedom: 132.5
## Standardized standard error: 0.159
## Type I error rate: 0.05
## Type II error rate: 0.76
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.241
## ---------------------------------------
## Degrees of freedom: 133
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.759
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.242
## ---------------------------------------
## Degrees of freedom: 133.5
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.758
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.242
## ---------------------------------------
## Degrees of freedom: 134
## Standardized standard error: 0.158
## Type I error rate: 0.05
## Type II error rate: 0.758
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.243
## ---------------------------------------
## Degrees of freedom: 134.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.757
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.244
## ---------------------------------------
## Degrees of freedom: 135
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.756
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.245
## ---------------------------------------
## Degrees of freedom: 135.5
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.755
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.245
## ---------------------------------------
## Degrees of freedom: 136
## Standardized standard error: 0.157
## Type I error rate: 0.05
## Type II error rate: 0.755
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.246
## ---------------------------------------
## Degrees of freedom: 136.5
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.754
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.247
## ---------------------------------------
## Degrees of freedom: 137
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.753
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.247
## ---------------------------------------
## Degrees of freedom: 137.5
## Standardized standard error: 0.156
## Type I error rate: 0.05
## Type II error rate: 0.753
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.248
## ---------------------------------------
## Degrees of freedom: 138
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.752
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.249
## ---------------------------------------
## Degrees of freedom: 138.5
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.751
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.249
## ---------------------------------------
## Degrees of freedom: 139
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.751
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.25
## ---------------------------------------
## Degrees of freedom: 139.5
## Standardized standard error: 0.155
## Type I error rate: 0.05
## Type II error rate: 0.75
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.251
## ---------------------------------------
## Degrees of freedom: 140
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.749
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.252
## ---------------------------------------
## Degrees of freedom: 140.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.748
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.252
## ---------------------------------------
## Degrees of freedom: 141
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.748
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.253
## ---------------------------------------
## Degrees of freedom: 141.5
## Standardized standard error: 0.154
## Type I error rate: 0.05
## Type II error rate: 0.747
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.254
## ---------------------------------------
## Degrees of freedom: 142
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.746
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.254
## ---------------------------------------
## Degrees of freedom: 142.5
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.746
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.255
## ---------------------------------------
## Degrees of freedom: 143
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.745
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.256
## ---------------------------------------
## Degrees of freedom: 143.5
## Standardized standard error: 0.153
## Type I error rate: 0.05
## Type II error rate: 0.744
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.256
## ---------------------------------------
## Degrees of freedom: 144
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.744
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.257
## ---------------------------------------
## Degrees of freedom: 144.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.743
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.258
## ---------------------------------------
## Degrees of freedom: 145
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.742
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.259
## ---------------------------------------
## Degrees of freedom: 145.5
## Standardized standard error: 0.152
## Type I error rate: 0.05
## Type II error rate: 0.741
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.259
## ---------------------------------------
## Degrees of freedom: 146
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.741
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.26
## ---------------------------------------
## Degrees of freedom: 146.5
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.74
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.261
## ---------------------------------------
## Degrees of freedom: 147
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.739
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.261
## ---------------------------------------
## Degrees of freedom: 147.5
## Standardized standard error: 0.151
## Type I error rate: 0.05
## Type II error rate: 0.739
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.262
## ---------------------------------------
## Degrees of freedom: 148
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.738
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.263
## ---------------------------------------
## Degrees of freedom: 148.5
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.737
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.263
## ---------------------------------------
## Degrees of freedom: 149
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.737
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.264
## ---------------------------------------
## Degrees of freedom: 149.5
## Standardized standard error: 0.15
## Type I error rate: 0.05
## Type II error rate: 0.736
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.265
## ---------------------------------------
## Degrees of freedom: 150
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.735
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.266
## ---------------------------------------
## Degrees of freedom: 150.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.734
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.266
## ---------------------------------------
## Degrees of freedom: 151
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.734
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.267
## ---------------------------------------
## Degrees of freedom: 151.5
## Standardized standard error: 0.149
## Type I error rate: 0.05
## Type II error rate: 0.733
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.268
## ---------------------------------------
## Degrees of freedom: 152
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.732
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.268
## ---------------------------------------
## Degrees of freedom: 152.5
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.732
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.269
## ---------------------------------------
## Degrees of freedom: 153
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.731
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.27
## ---------------------------------------
## Degrees of freedom: 153.5
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.73
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.27
## ---------------------------------------
## Degrees of freedom: 154
## Standardized standard error: 0.148
## Type I error rate: 0.05
## Type II error rate: 0.73
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.271
## ---------------------------------------
## Degrees of freedom: 154.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.729
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.272
## ---------------------------------------
## Degrees of freedom: 155
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.728
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.273
## ---------------------------------------
## Degrees of freedom: 155.5
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.727
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.273
## ---------------------------------------
## Degrees of freedom: 156
## Standardized standard error: 0.147
## Type I error rate: 0.05
## Type II error rate: 0.727
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.274
## ---------------------------------------
## Degrees of freedom: 156.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.726
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.275
## ---------------------------------------
## Degrees of freedom: 157
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.725
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.275
## ---------------------------------------
## Degrees of freedom: 157.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.725
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.276
## ---------------------------------------
## Degrees of freedom: 158
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.724
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.277
## ---------------------------------------
## Degrees of freedom: 158.5
## Standardized standard error: 0.146
## Type I error rate: 0.05
## Type II error rate: 0.723
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.277
## ---------------------------------------
## Degrees of freedom: 159
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.723
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.278
## ---------------------------------------
## Degrees of freedom: 159.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.722
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.279
## ---------------------------------------
## Degrees of freedom: 160
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.721
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.279
## ---------------------------------------
## Degrees of freedom: 160.5
## Standardized standard error: 0.145
## Type I error rate: 0.05
## Type II error rate: 0.721
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.28
## ---------------------------------------
## Degrees of freedom: 161
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.72
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.281
## ---------------------------------------
## Degrees of freedom: 161.5
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.719
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.282
## ---------------------------------------
## Degrees of freedom: 162
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.718
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.282
## ---------------------------------------
## Degrees of freedom: 162.5
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.718
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.283
## ---------------------------------------
## Degrees of freedom: 163
## Standardized standard error: 0.144
## Type I error rate: 0.05
## Type II error rate: 0.717
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.284
## ---------------------------------------
## Degrees of freedom: 163.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.716
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.284
## ---------------------------------------
## Degrees of freedom: 164
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.716
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.285
## ---------------------------------------
## Degrees of freedom: 164.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.715
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.286
## ---------------------------------------
## Degrees of freedom: 165
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.714
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.286
## ---------------------------------------
## Degrees of freedom: 165.5
## Standardized standard error: 0.143
## Type I error rate: 0.05
## Type II error rate: 0.714
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.287
## ---------------------------------------
## Degrees of freedom: 166
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.713
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.288
## ---------------------------------------
## Degrees of freedom: 166.5
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.712
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.289
## ---------------------------------------
## Degrees of freedom: 167
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.711
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.289
## ---------------------------------------
## Degrees of freedom: 167.5
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.711
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.29
## ---------------------------------------
## Degrees of freedom: 168
## Standardized standard error: 0.142
## Type I error rate: 0.05
## Type II error rate: 0.71
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.291
## ---------------------------------------
## Degrees of freedom: 168.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.709
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.291
## ---------------------------------------
## Degrees of freedom: 169
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.709
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.292
## ---------------------------------------
## Degrees of freedom: 169.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.708
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.293
## ---------------------------------------
## Degrees of freedom: 170
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.707
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.293
## ---------------------------------------
## Degrees of freedom: 170.5
## Standardized standard error: 0.141
## Type I error rate: 0.05
## Type II error rate: 0.707
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.294
## ---------------------------------------
## Degrees of freedom: 171
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.706
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.295
## ---------------------------------------
## Degrees of freedom: 171.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.705
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.295
## ---------------------------------------
## Degrees of freedom: 172
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.705
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.296
## ---------------------------------------
## Degrees of freedom: 172.5
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.704
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.297
## ---------------------------------------
## Degrees of freedom: 173
## Standardized standard error: 0.14
## Type I error rate: 0.05
## Type II error rate: 0.703
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.297
## ---------------------------------------
## Degrees of freedom: 173.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.703
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.298
## ---------------------------------------
## Degrees of freedom: 174
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.702
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.299
## ---------------------------------------
## Degrees of freedom: 174.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.701
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.3
## ---------------------------------------
## Degrees of freedom: 175
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.7
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.3
## ---------------------------------------
## Degrees of freedom: 175.5
## Standardized standard error: 0.139
## Type I error rate: 0.05
## Type II error rate: 0.7
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.301
## ---------------------------------------
## Degrees of freedom: 176
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.699
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.302
## ---------------------------------------
## Degrees of freedom: 176.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.698
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.302
## ---------------------------------------
## Degrees of freedom: 177
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.698
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.303
## ---------------------------------------
## Degrees of freedom: 177.5
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.697
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.304
## ---------------------------------------
## Degrees of freedom: 178
## Standardized standard error: 0.138
## Type I error rate: 0.05
## Type II error rate: 0.696
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.304
## ---------------------------------------
## Degrees of freedom: 178.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.696
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.305
## ---------------------------------------
## Degrees of freedom: 179
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.695
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.306
## ---------------------------------------
## Degrees of freedom: 179.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.694
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.306
## ---------------------------------------
## Degrees of freedom: 180
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.694
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.307
## ---------------------------------------
## Degrees of freedom: 180.5
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.693
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.308
## ---------------------------------------
## Degrees of freedom: 181
## Standardized standard error: 0.137
## Type I error rate: 0.05
## Type II error rate: 0.692
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.308
## ---------------------------------------
## Degrees of freedom: 181.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.692
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.309
## ---------------------------------------
## Degrees of freedom: 182
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.691
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.31
## ---------------------------------------
## Degrees of freedom: 182.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.69
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.311
## ---------------------------------------
## Degrees of freedom: 183
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.689
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.311
## ---------------------------------------
## Degrees of freedom: 183.5
## Standardized standard error: 0.136
## Type I error rate: 0.05
## Type II error rate: 0.689
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.312
## ---------------------------------------
## Degrees of freedom: 184
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.688
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.313
## ---------------------------------------
## Degrees of freedom: 184.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.687
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.313
## ---------------------------------------
## Degrees of freedom: 185
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.687
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.314
## ---------------------------------------
## Degrees of freedom: 185.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.686
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.315
## ---------------------------------------
## Degrees of freedom: 186
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.685
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.315
## ---------------------------------------
## Degrees of freedom: 186.5
## Standardized standard error: 0.135
## Type I error rate: 0.05
## Type II error rate: 0.685
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.316
## ---------------------------------------
## Degrees of freedom: 187
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.684
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.317
## ---------------------------------------
## Degrees of freedom: 187.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.683
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.317
## ---------------------------------------
## Degrees of freedom: 188
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.683
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.318
## ---------------------------------------
## Degrees of freedom: 188.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.682
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.319
## ---------------------------------------
## Degrees of freedom: 189
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.681
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.319
## ---------------------------------------
## Degrees of freedom: 189.5
## Standardized standard error: 0.134
## Type I error rate: 0.05
## Type II error rate: 0.681
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.32
## ---------------------------------------
## Degrees of freedom: 190
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.68
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.321
## ---------------------------------------
## Degrees of freedom: 190.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.679
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.321
## ---------------------------------------
## Degrees of freedom: 191
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.679
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.322
## ---------------------------------------
## Degrees of freedom: 191.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.678
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.323
## ---------------------------------------
## Degrees of freedom: 192
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.677
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.324
## ---------------------------------------
## Degrees of freedom: 192.5
## Standardized standard error: 0.133
## Type I error rate: 0.05
## Type II error rate: 0.676
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.324
## ---------------------------------------
## Degrees of freedom: 193
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.676
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.325
## ---------------------------------------
## Degrees of freedom: 193.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.675
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.326
## ---------------------------------------
## Degrees of freedom: 194
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.674
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.326
## ---------------------------------------
## Degrees of freedom: 194.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.674
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.327
## ---------------------------------------
## Degrees of freedom: 195
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.673
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.328
## ---------------------------------------
## Degrees of freedom: 195.5
## Standardized standard error: 0.132
## Type I error rate: 0.05
## Type II error rate: 0.672
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.328
## ---------------------------------------
## Degrees of freedom: 196
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.672
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.329
## ---------------------------------------
## Degrees of freedom: 196.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.671
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.33
## ---------------------------------------
## Degrees of freedom: 197
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.67
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.33
## ---------------------------------------
## Degrees of freedom: 197.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.67
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.331
## ---------------------------------------
## Degrees of freedom: 198
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.669
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.332
## ---------------------------------------
## Degrees of freedom: 198.5
## Standardized standard error: 0.131
## Type I error rate: 0.05
## Type II error rate: 0.668
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.332
## ---------------------------------------
## Degrees of freedom: 199
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.668
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.333
## ---------------------------------------
## Degrees of freedom: 199.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.667
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.334
## ---------------------------------------
## Degrees of freedom: 200
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.666
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.334
## ---------------------------------------
## Degrees of freedom: 200.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.666
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.335
## ---------------------------------------
## Degrees of freedom: 201
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.665
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.336
## ---------------------------------------
## Degrees of freedom: 201.5
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.664
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.336
## ---------------------------------------
## Degrees of freedom: 202
## Standardized standard error: 0.13
## Type I error rate: 0.05
## Type II error rate: 0.664
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.337
## ---------------------------------------
## Degrees of freedom: 202.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.663
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.338
## ---------------------------------------
## Degrees of freedom: 203
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.662
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.338
## ---------------------------------------
## Degrees of freedom: 203.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.662
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.339
## ---------------------------------------
## Degrees of freedom: 204
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.661
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.34
## ---------------------------------------
## Degrees of freedom: 204.5
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.66
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.34
## ---------------------------------------
## Degrees of freedom: 205
## Standardized standard error: 0.129
## Type I error rate: 0.05
## Type II error rate: 0.66
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.341
## ---------------------------------------
## Degrees of freedom: 205.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.659
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.342
## ---------------------------------------
## Degrees of freedom: 206
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.658
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.342
## ---------------------------------------
## Degrees of freedom: 206.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.658
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.343
## ---------------------------------------
## Degrees of freedom: 207
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.657
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.344
## ---------------------------------------
## Degrees of freedom: 207.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.656
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.345
## ---------------------------------------
## Degrees of freedom: 208
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.655
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.345
## ---------------------------------------
## Degrees of freedom: 208.5
## Standardized standard error: 0.128
## Type I error rate: 0.05
## Type II error rate: 0.655
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.346
## ---------------------------------------
## Degrees of freedom: 209
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.654
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.347
## ---------------------------------------
## Degrees of freedom: 209.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.653
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.347
## ---------------------------------------
## Degrees of freedom: 210
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.653
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.348
## ---------------------------------------
## Degrees of freedom: 210.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.652
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.349
## ---------------------------------------
## Degrees of freedom: 211
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.651
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.349
## ---------------------------------------
## Degrees of freedom: 211.5
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.651
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.35
## ---------------------------------------
## Degrees of freedom: 212
## Standardized standard error: 0.127
## Type I error rate: 0.05
## Type II error rate: 0.65
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.351
## ---------------------------------------
## Degrees of freedom: 212.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.649
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.351
## ---------------------------------------
## Degrees of freedom: 213
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.649
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.352
## ---------------------------------------
## Degrees of freedom: 213.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.648
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.353
## ---------------------------------------
## Degrees of freedom: 214
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.647
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.353
## ---------------------------------------
## Degrees of freedom: 214.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.647
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.354
## ---------------------------------------
## Degrees of freedom: 215
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.646
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.355
## ---------------------------------------
## Degrees of freedom: 215.5
## Standardized standard error: 0.126
## Type I error rate: 0.05
## Type II error rate: 0.645
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.355
## ---------------------------------------
## Degrees of freedom: 216
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.645
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.356
## ---------------------------------------
## Degrees of freedom: 216.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.644
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.357
## ---------------------------------------
## Degrees of freedom: 217
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.643
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.357
## ---------------------------------------
## Degrees of freedom: 217.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.643
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.358
## ---------------------------------------
## Degrees of freedom: 218
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.642
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.359
## ---------------------------------------
## Degrees of freedom: 218.5
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.641
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.359
## ---------------------------------------
## Degrees of freedom: 219
## Standardized standard error: 0.125
## Type I error rate: 0.05
## Type II error rate: 0.641
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.36
## ---------------------------------------
## Degrees of freedom: 219.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.64
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.361
## ---------------------------------------
## Degrees of freedom: 220
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.639
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.361
## ---------------------------------------
## Degrees of freedom: 220.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.639
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.362
## ---------------------------------------
## Degrees of freedom: 221
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.638
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.363
## ---------------------------------------
## Degrees of freedom: 221.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.637
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.363
## ---------------------------------------
## Degrees of freedom: 222
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.637
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.364
## ---------------------------------------
## Degrees of freedom: 222.5
## Standardized standard error: 0.124
## Type I error rate: 0.05
## Type II error rate: 0.636
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.365
## ---------------------------------------
## Degrees of freedom: 223
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.635
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.365
## ---------------------------------------
## Degrees of freedom: 223.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.635
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.366
## ---------------------------------------
## Degrees of freedom: 224
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.634
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.367
## ---------------------------------------
## Degrees of freedom: 224.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.633
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.367
## ---------------------------------------
## Degrees of freedom: 225
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.633
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.368
## ---------------------------------------
## Degrees of freedom: 225.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.632
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.369
## ---------------------------------------
## Degrees of freedom: 226
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.631
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.369
## ---------------------------------------
## Degrees of freedom: 226.5
## Standardized standard error: 0.123
## Type I error rate: 0.05
## Type II error rate: 0.631
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.37
## ---------------------------------------
## Degrees of freedom: 227
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.63
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.37
## ---------------------------------------
## Degrees of freedom: 227.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.63
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.371
## ---------------------------------------
## Degrees of freedom: 228
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.629
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.372
## ---------------------------------------
## Degrees of freedom: 228.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.628
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.372
## ---------------------------------------
## Degrees of freedom: 229
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.628
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.373
## ---------------------------------------
## Degrees of freedom: 229.5
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.627
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.374
## ---------------------------------------
## Degrees of freedom: 230
## Standardized standard error: 0.122
## Type I error rate: 0.05
## Type II error rate: 0.626
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.374
## ---------------------------------------
## Degrees of freedom: 230.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.626
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.375
## ---------------------------------------
## Degrees of freedom: 231
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.625
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.376
## ---------------------------------------
## Degrees of freedom: 231.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.624
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.376
## ---------------------------------------
## Degrees of freedom: 232
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.624
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.377
## ---------------------------------------
## Degrees of freedom: 232.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.623
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.378
## ---------------------------------------
## Degrees of freedom: 233
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.622
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.378
## ---------------------------------------
## Degrees of freedom: 233.5
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.622
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.379
## ---------------------------------------
## Degrees of freedom: 234
## Standardized standard error: 0.121
## Type I error rate: 0.05
## Type II error rate: 0.621
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.38
## ---------------------------------------
## Degrees of freedom: 234.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.62
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.38
## ---------------------------------------
## Degrees of freedom: 235
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.62
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.381
## ---------------------------------------
## Degrees of freedom: 235.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.619
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.382
## ---------------------------------------
## Degrees of freedom: 236
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.618
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.382
## ---------------------------------------
## Degrees of freedom: 236.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.618
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.383
## ---------------------------------------
## Degrees of freedom: 237
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.617
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.384
## ---------------------------------------
## Degrees of freedom: 237.5
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.616
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.384
## ---------------------------------------
## Degrees of freedom: 238
## Standardized standard error: 0.12
## Type I error rate: 0.05
## Type II error rate: 0.616
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.385
## ---------------------------------------
## Degrees of freedom: 238.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.615
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.386
## ---------------------------------------
## Degrees of freedom: 239
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.614
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.386
## ---------------------------------------
## Degrees of freedom: 239.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.614
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.387
## ---------------------------------------
## Degrees of freedom: 240
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.613
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.388
## ---------------------------------------
## Degrees of freedom: 240.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.612
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.388
## ---------------------------------------
## Degrees of freedom: 241
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.612
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.389
## ---------------------------------------
## Degrees of freedom: 241.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.611
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.39
## ---------------------------------------
## Degrees of freedom: 242
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.61
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.39
## ---------------------------------------
## Degrees of freedom: 242.5
## Standardized standard error: 0.119
## Type I error rate: 0.05
## Type II error rate: 0.61
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.391
## ---------------------------------------
## Degrees of freedom: 243
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.609
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.391
## ---------------------------------------
## Degrees of freedom: 243.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.609
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.392
## ---------------------------------------
## Degrees of freedom: 244
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.608
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.393
## ---------------------------------------
## Degrees of freedom: 244.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.607
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.393
## ---------------------------------------
## Degrees of freedom: 245
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.607
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.394
## ---------------------------------------
## Degrees of freedom: 245.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.606
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.395
## ---------------------------------------
## Degrees of freedom: 246
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.605
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.395
## ---------------------------------------
## Degrees of freedom: 246.5
## Standardized standard error: 0.118
## Type I error rate: 0.05
## Type II error rate: 0.605
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.396
## ---------------------------------------
## Degrees of freedom: 247
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.604
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.397
## ---------------------------------------
## Degrees of freedom: 247.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.603
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.397
## ---------------------------------------
## Degrees of freedom: 248
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.603
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.398
## ---------------------------------------
## Degrees of freedom: 248.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.602
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.399
## ---------------------------------------
## Degrees of freedom: 249
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.601
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.399
## ---------------------------------------
## Degrees of freedom: 249.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.601
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.4
## ---------------------------------------
## Degrees of freedom: 250
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.6
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.401
## ---------------------------------------
## Degrees of freedom: 250.5
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.599
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.401
## ---------------------------------------
## Degrees of freedom: 251
## Standardized standard error: 0.117
## Type I error rate: 0.05
## Type II error rate: 0.599
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.402
## ---------------------------------------
## Degrees of freedom: 251.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.598
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.402
## ---------------------------------------
## Degrees of freedom: 252
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.598
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.403
## ---------------------------------------
## Degrees of freedom: 252.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.597
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.404
## ---------------------------------------
## Degrees of freedom: 253
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.596
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.404
## ---------------------------------------
## Degrees of freedom: 253.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.596
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.405
## ---------------------------------------
## Degrees of freedom: 254
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.595
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.406
## ---------------------------------------
## Degrees of freedom: 254.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.594
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.406
## ---------------------------------------
## Degrees of freedom: 255
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.594
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.407
## ---------------------------------------
## Degrees of freedom: 255.5
## Standardized standard error: 0.116
## Type I error rate: 0.05
## Type II error rate: 0.593
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.408
## ---------------------------------------
## Degrees of freedom: 256
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.592
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.408
## ---------------------------------------
## Degrees of freedom: 256.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.592
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.409
## ---------------------------------------
## Degrees of freedom: 257
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.591
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.41
## ---------------------------------------
## Degrees of freedom: 257.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.59
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.41
## ---------------------------------------
## Degrees of freedom: 258
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.59
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.411
## ---------------------------------------
## Degrees of freedom: 258.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.589
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.411
## ---------------------------------------
## Degrees of freedom: 259
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.589
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.412
## ---------------------------------------
## Degrees of freedom: 259.5
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.588
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.413
## ---------------------------------------
## Degrees of freedom: 260
## Standardized standard error: 0.115
## Type I error rate: 0.05
## Type II error rate: 0.587
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.413
## ---------------------------------------
## Degrees of freedom: 260.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.587
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.414
## ---------------------------------------
## Degrees of freedom: 261
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.586
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.415
## ---------------------------------------
## Degrees of freedom: 261.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.585
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.415
## ---------------------------------------
## Degrees of freedom: 262
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.585
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.416
## ---------------------------------------
## Degrees of freedom: 262.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.584
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.417
## ---------------------------------------
## Degrees of freedom: 263
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.583
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.417
## ---------------------------------------
## Degrees of freedom: 263.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.583
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.418
## ---------------------------------------
## Degrees of freedom: 264
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.582
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.418
## ---------------------------------------
## Degrees of freedom: 264.5
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.582
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.419
## ---------------------------------------
## Degrees of freedom: 265
## Standardized standard error: 0.114
## Type I error rate: 0.05
## Type II error rate: 0.581
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.42
## ---------------------------------------
## Degrees of freedom: 265.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.58
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.42
## ---------------------------------------
## Degrees of freedom: 266
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.58
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.421
## ---------------------------------------
## Degrees of freedom: 266.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.579
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.422
## ---------------------------------------
## Degrees of freedom: 267
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.578
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.422
## ---------------------------------------
## Degrees of freedom: 267.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.578
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.423
## ---------------------------------------
## Degrees of freedom: 268
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.577
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.424
## ---------------------------------------
## Degrees of freedom: 268.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.576
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.424
## ---------------------------------------
## Degrees of freedom: 269
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.576
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.425
## ---------------------------------------
## Degrees of freedom: 269.5
## Standardized standard error: 0.113
## Type I error rate: 0.05
## Type II error rate: 0.575
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.425
## ---------------------------------------
## Degrees of freedom: 270
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.575
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.426
## ---------------------------------------
## Degrees of freedom: 270.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.574
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.427
## ---------------------------------------
## Degrees of freedom: 271
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.573
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.427
## ---------------------------------------
## Degrees of freedom: 271.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.573
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.428
## ---------------------------------------
## Degrees of freedom: 272
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.572
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.429
## ---------------------------------------
## Degrees of freedom: 272.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.571
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.429
## ---------------------------------------
## Degrees of freedom: 273
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.571
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.43
## ---------------------------------------
## Degrees of freedom: 273.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.57
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.43
## ---------------------------------------
## Degrees of freedom: 274
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.57
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.431
## ---------------------------------------
## Degrees of freedom: 274.5
## Standardized standard error: 0.112
## Type I error rate: 0.05
## Type II error rate: 0.569
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.432
## ---------------------------------------
## Degrees of freedom: 275
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.568
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.432
## ---------------------------------------
## Degrees of freedom: 275.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.568
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.433
## ---------------------------------------
## Degrees of freedom: 276
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.567
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.434
## ---------------------------------------
## Degrees of freedom: 276.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.566
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.434
## ---------------------------------------
## Degrees of freedom: 277
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.566
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.435
## ---------------------------------------
## Degrees of freedom: 277.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.565
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.435
## ---------------------------------------
## Degrees of freedom: 278
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.565
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.436
## ---------------------------------------
## Degrees of freedom: 278.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.564
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.437
## ---------------------------------------
## Degrees of freedom: 279
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.563
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.437
## ---------------------------------------
## Degrees of freedom: 279.5
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.563
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.438
## ---------------------------------------
## Degrees of freedom: 280
## Standardized standard error: 0.111
## Type I error rate: 0.05
## Type II error rate: 0.562
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.439
## ---------------------------------------
## Degrees of freedom: 280.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.561
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.439
## ---------------------------------------
## Degrees of freedom: 281
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.561
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.44
## ---------------------------------------
## Degrees of freedom: 281.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.56
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.44
## ---------------------------------------
## Degrees of freedom: 282
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.56
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.441
## ---------------------------------------
## Degrees of freedom: 282.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.559
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.442
## ---------------------------------------
## Degrees of freedom: 283
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.558
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.442
## ---------------------------------------
## Degrees of freedom: 283.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.558
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.443
## ---------------------------------------
## Degrees of freedom: 284
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.557
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.444
## ---------------------------------------
## Degrees of freedom: 284.5
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.556
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.444
## ---------------------------------------
## Degrees of freedom: 285
## Standardized standard error: 0.11
## Type I error rate: 0.05
## Type II error rate: 0.556
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.445
## ---------------------------------------
## Degrees of freedom: 285.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.555
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.445
## ---------------------------------------
## Degrees of freedom: 286
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.555
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.446
## ---------------------------------------
## Degrees of freedom: 286.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.554
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.447
## ---------------------------------------
## Degrees of freedom: 287
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.553
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.447
## ---------------------------------------
## Degrees of freedom: 287.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.553
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.448
## ---------------------------------------
## Degrees of freedom: 288
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.552
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.448
## ---------------------------------------
## Degrees of freedom: 288.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.552
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.449
## ---------------------------------------
## Degrees of freedom: 289
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.551
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.45
## ---------------------------------------
## Degrees of freedom: 289.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.55
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.45
## ---------------------------------------
## Degrees of freedom: 290
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.55
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.451
## ---------------------------------------
## Degrees of freedom: 290.5
## Standardized standard error: 0.109
## Type I error rate: 0.05
## Type II error rate: 0.549
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.452
## ---------------------------------------
## Degrees of freedom: 291
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.548
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.452
## ---------------------------------------
## Degrees of freedom: 291.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.548
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.453
## ---------------------------------------
## Degrees of freedom: 292
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.547
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.453
## ---------------------------------------
## Degrees of freedom: 292.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.547
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.454
## ---------------------------------------
## Degrees of freedom: 293
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.546
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.455
## ---------------------------------------
## Degrees of freedom: 293.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.545
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.455
## ---------------------------------------
## Degrees of freedom: 294
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.545
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.456
## ---------------------------------------
## Degrees of freedom: 294.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.544
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.456
## ---------------------------------------
## Degrees of freedom: 295
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.544
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.457
## ---------------------------------------
## Degrees of freedom: 295.5
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.543
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.458
## ---------------------------------------
## Degrees of freedom: 296
## Standardized standard error: 0.108
## Type I error rate: 0.05
## Type II error rate: 0.542
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.458
## ---------------------------------------
## Degrees of freedom: 296.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.542
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.459
## ---------------------------------------
## Degrees of freedom: 297
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.541
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.46
## ---------------------------------------
## Degrees of freedom: 297.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.54
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.46
## ---------------------------------------
## Degrees of freedom: 298
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.54
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.461
## ---------------------------------------
## Degrees of freedom: 298.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.539
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.461
## ---------------------------------------
## Degrees of freedom: 299
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.539
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.462
## ---------------------------------------
## Degrees of freedom: 299.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.538
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.463
## ---------------------------------------
## Degrees of freedom: 300
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.537
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.463
## ---------------------------------------
## Degrees of freedom: 300.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.537
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.464
## ---------------------------------------
## Degrees of freedom: 301
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.536
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.464
## ---------------------------------------
## Degrees of freedom: 301.5
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.536
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.465
## ---------------------------------------
## Degrees of freedom: 302
## Standardized standard error: 0.107
## Type I error rate: 0.05
## Type II error rate: 0.535
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.466
## ---------------------------------------
## Degrees of freedom: 302.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.534
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.466
## ---------------------------------------
## Degrees of freedom: 303
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.534
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.467
## ---------------------------------------
## Degrees of freedom: 303.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.533
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.467
## ---------------------------------------
## Degrees of freedom: 304
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.533
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.468
## ---------------------------------------
## Degrees of freedom: 304.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.532
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.469
## ---------------------------------------
## Degrees of freedom: 305
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.531
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.469
## ---------------------------------------
## Degrees of freedom: 305.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.531
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.47
## ---------------------------------------
## Degrees of freedom: 306
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.53
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.47
## ---------------------------------------
## Degrees of freedom: 306.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.53
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.471
## ---------------------------------------
## Degrees of freedom: 307
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.529
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.472
## ---------------------------------------
## Degrees of freedom: 307.5
## Standardized standard error: 0.106
## Type I error rate: 0.05
## Type II error rate: 0.528
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.472
## ---------------------------------------
## Degrees of freedom: 308
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.528
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.473
## ---------------------------------------
## Degrees of freedom: 308.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.527
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.473
## ---------------------------------------
## Degrees of freedom: 309
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.527
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.474
## ---------------------------------------
## Degrees of freedom: 309.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.526
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.475
## ---------------------------------------
## Degrees of freedom: 310
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.525
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.475
## ---------------------------------------
## Degrees of freedom: 310.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.525
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.476
## ---------------------------------------
## Degrees of freedom: 311
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.524
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.476
## ---------------------------------------
## Degrees of freedom: 311.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.524
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.477
## ---------------------------------------
## Degrees of freedom: 312
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.523
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.478
## ---------------------------------------
## Degrees of freedom: 312.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.522
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.478
## ---------------------------------------
## Degrees of freedom: 313
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.522
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.479
## ---------------------------------------
## Degrees of freedom: 313.5
## Standardized standard error: 0.105
## Type I error rate: 0.05
## Type II error rate: 0.521
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.479
## ---------------------------------------
## Degrees of freedom: 314
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.521
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.48
## ---------------------------------------
## Degrees of freedom: 314.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.52
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.481
## ---------------------------------------
## Degrees of freedom: 315
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.519
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.481
## ---------------------------------------
## Degrees of freedom: 315.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.519
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.482
## ---------------------------------------
## Degrees of freedom: 316
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.518
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.482
## ---------------------------------------
## Degrees of freedom: 316.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.518
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.483
## ---------------------------------------
## Degrees of freedom: 317
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.517
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.484
## ---------------------------------------
## Degrees of freedom: 317.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.516
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.484
## ---------------------------------------
## Degrees of freedom: 318
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.516
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.485
## ---------------------------------------
## Degrees of freedom: 318.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.515
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.485
## ---------------------------------------
## Degrees of freedom: 319
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.515
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.486
## ---------------------------------------
## Degrees of freedom: 319.5
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.514
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.486
## ---------------------------------------
## Degrees of freedom: 320
## Standardized standard error: 0.104
## Type I error rate: 0.05
## Type II error rate: 0.514
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.487
## ---------------------------------------
## Degrees of freedom: 320.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.513
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.488
## ---------------------------------------
## Degrees of freedom: 321
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.512
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.488
## ---------------------------------------
## Degrees of freedom: 321.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.512
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.489
## ---------------------------------------
## Degrees of freedom: 322
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.511
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.489
## ---------------------------------------
## Degrees of freedom: 322.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.511
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.49
## ---------------------------------------
## Degrees of freedom: 323
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.51
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.491
## ---------------------------------------
## Degrees of freedom: 323.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.509
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.491
## ---------------------------------------
## Degrees of freedom: 324
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.509
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.492
## ---------------------------------------
## Degrees of freedom: 324.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.508
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.492
## ---------------------------------------
## Degrees of freedom: 325
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.508
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.493
## ---------------------------------------
## Degrees of freedom: 325.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.507
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.494
## ---------------------------------------
## Degrees of freedom: 326
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.506
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.494
## ---------------------------------------
## Degrees of freedom: 326.5
## Standardized standard error: 0.103
## Type I error rate: 0.05
## Type II error rate: 0.506
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.495
## ---------------------------------------
## Degrees of freedom: 327
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.505
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.495
## ---------------------------------------
## Degrees of freedom: 327.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.505
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.496
## ---------------------------------------
## Degrees of freedom: 328
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.504
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.496
## ---------------------------------------
## Degrees of freedom: 328.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.504
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.497
## ---------------------------------------
## Degrees of freedom: 329
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.503
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.498
## ---------------------------------------
## Degrees of freedom: 329.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.502
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.498
## ---------------------------------------
## Degrees of freedom: 330
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.502
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.499
## ---------------------------------------
## Degrees of freedom: 330.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.501
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.499
## ---------------------------------------
## Degrees of freedom: 331
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.501
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.5
## ---------------------------------------
## Degrees of freedom: 331.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.5
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.501
## ---------------------------------------
## Degrees of freedom: 332
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.499
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.501
## ---------------------------------------
## Degrees of freedom: 332.5
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.499
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.502
## ---------------------------------------
## Degrees of freedom: 333
## Standardized standard error: 0.102
## Type I error rate: 0.05
## Type II error rate: 0.498
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.502
## ---------------------------------------
## Degrees of freedom: 333.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.498
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.503
## ---------------------------------------
## Degrees of freedom: 334
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.497
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.503
## ---------------------------------------
## Degrees of freedom: 334.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.497
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.504
## ---------------------------------------
## Degrees of freedom: 335
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.496
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.505
## ---------------------------------------
## Degrees of freedom: 335.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.495
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.505
## ---------------------------------------
## Degrees of freedom: 336
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.495
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.506
## ---------------------------------------
## Degrees of freedom: 336.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.494
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.506
## ---------------------------------------
## Degrees of freedom: 337
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.494
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.507
## ---------------------------------------
## Degrees of freedom: 337.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.493
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.507
## ---------------------------------------
## Degrees of freedom: 338
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.493
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.508
## ---------------------------------------
## Degrees of freedom: 338.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.492
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.509
## ---------------------------------------
## Degrees of freedom: 339
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.491
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.509
## ---------------------------------------
## Degrees of freedom: 339.5
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.491
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.51
## ---------------------------------------
## Degrees of freedom: 340
## Standardized standard error: 0.101
## Type I error rate: 0.05
## Type II error rate: 0.49
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.51
## ---------------------------------------
## Degrees of freedom: 340.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.49
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.511
## ---------------------------------------
## Degrees of freedom: 341
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.489
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.511
## ---------------------------------------
## Degrees of freedom: 341.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.489
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.512
## ---------------------------------------
## Degrees of freedom: 342
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.488
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.513
## ---------------------------------------
## Degrees of freedom: 342.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.487
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.513
## ---------------------------------------
## Degrees of freedom: 343
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.487
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.514
## ---------------------------------------
## Degrees of freedom: 343.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.486
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.514
## ---------------------------------------
## Degrees of freedom: 344
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.486
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.515
## ---------------------------------------
## Degrees of freedom: 344.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.485
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.515
## ---------------------------------------
## Degrees of freedom: 345
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.485
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.516
## ---------------------------------------
## Degrees of freedom: 345.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.484
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.517
## ---------------------------------------
## Degrees of freedom: 346
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.483
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.517
## ---------------------------------------
## Degrees of freedom: 346.5
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.483
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.518
## ---------------------------------------
## Degrees of freedom: 347
## Standardized standard error: 0.1
## Type I error rate: 0.05
## Type II error rate: 0.482
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.518
## ---------------------------------------
## Degrees of freedom: 347.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.482
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.519
## ---------------------------------------
## Degrees of freedom: 348
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.481
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.519
## ---------------------------------------
## Degrees of freedom: 348.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.481
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.52
## ---------------------------------------
## Degrees of freedom: 349
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.48
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.521
## ---------------------------------------
## Degrees of freedom: 349.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.479
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.521
## ---------------------------------------
## Degrees of freedom: 350
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.479
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.522
## ---------------------------------------
## Degrees of freedom: 350.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.478
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.522
## ---------------------------------------
## Degrees of freedom: 351
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.478
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.523
## ---------------------------------------
## Degrees of freedom: 351.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.477
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.523
## ---------------------------------------
## Degrees of freedom: 352
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.477
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.524
## ---------------------------------------
## Degrees of freedom: 352.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.476
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.525
## ---------------------------------------
## Degrees of freedom: 353
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.475
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.525
## ---------------------------------------
## Degrees of freedom: 353.5
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.475
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.526
## ---------------------------------------
## Degrees of freedom: 354
## Standardized standard error: 0.099
## Type I error rate: 0.05
## Type II error rate: 0.474
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.526
## ---------------------------------------
## Degrees of freedom: 354.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.474
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.527
## ---------------------------------------
## Degrees of freedom: 355
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.473
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.527
## ---------------------------------------
## Degrees of freedom: 355.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.473
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.528
## ---------------------------------------
## Degrees of freedom: 356
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.472
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.528
## ---------------------------------------
## Degrees of freedom: 356.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.472
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.529
## ---------------------------------------
## Degrees of freedom: 357
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.471
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.53
## ---------------------------------------
## Degrees of freedom: 357.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.47
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.53
## ---------------------------------------
## Degrees of freedom: 358
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.47
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.531
## ---------------------------------------
## Degrees of freedom: 358.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.469
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.531
## ---------------------------------------
## Degrees of freedom: 359
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.469
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.532
## ---------------------------------------
## Degrees of freedom: 359.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.468
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.532
## ---------------------------------------
## Degrees of freedom: 360
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.468
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.533
## ---------------------------------------
## Degrees of freedom: 360.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.467
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.533
## ---------------------------------------
## Degrees of freedom: 361
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.467
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.534
## ---------------------------------------
## Degrees of freedom: 361.5
## Standardized standard error: 0.098
## Type I error rate: 0.05
## Type II error rate: 0.466
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.535
## ---------------------------------------
## Degrees of freedom: 362
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.465
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.535
## ---------------------------------------
## Degrees of freedom: 362.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.465
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.536
## ---------------------------------------
## Degrees of freedom: 363
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.464
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.536
## ---------------------------------------
## Degrees of freedom: 363.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.464
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.537
## ---------------------------------------
## Degrees of freedom: 364
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.463
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.537
## ---------------------------------------
## Degrees of freedom: 364.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.463
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.538
## ---------------------------------------
## Degrees of freedom: 365
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.462
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.538
## ---------------------------------------
## Degrees of freedom: 365.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.462
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.539
## ---------------------------------------
## Degrees of freedom: 366
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.461
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.54
## ---------------------------------------
## Degrees of freedom: 366.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.46
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.54
## ---------------------------------------
## Degrees of freedom: 367
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.46
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.541
## ---------------------------------------
## Degrees of freedom: 367.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.459
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.541
## ---------------------------------------
## Degrees of freedom: 368
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.459
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.542
## ---------------------------------------
## Degrees of freedom: 368.5
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.458
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.542
## ---------------------------------------
## Degrees of freedom: 369
## Standardized standard error: 0.097
## Type I error rate: 0.05
## Type II error rate: 0.458
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.543
## ---------------------------------------
## Degrees of freedom: 369.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.457
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.543
## ---------------------------------------
## Degrees of freedom: 370
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.457
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.544
## ---------------------------------------
## Degrees of freedom: 370.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.456
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.544
## ---------------------------------------
## Degrees of freedom: 371
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.456
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.545
## ---------------------------------------
## Degrees of freedom: 371.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.455
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.546
## ---------------------------------------
## Degrees of freedom: 372
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.454
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.546
## ---------------------------------------
## Degrees of freedom: 372.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.454
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.547
## ---------------------------------------
## Degrees of freedom: 373
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.453
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.547
## ---------------------------------------
## Degrees of freedom: 373.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.453
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.548
## ---------------------------------------
## Degrees of freedom: 374
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.452
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.548
## ---------------------------------------
## Degrees of freedom: 374.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.452
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.549
## ---------------------------------------
## Degrees of freedom: 375
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.451
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.549
## ---------------------------------------
## Degrees of freedom: 375.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.451
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.55
## ---------------------------------------
## Degrees of freedom: 376
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.45
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.55
## ---------------------------------------
## Degrees of freedom: 376.5
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.45
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.551
## ---------------------------------------
## Degrees of freedom: 377
## Standardized standard error: 0.096
## Type I error rate: 0.05
## Type II error rate: 0.449
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.552
## ---------------------------------------
## Degrees of freedom: 377.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.448
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.552
## ---------------------------------------
## Degrees of freedom: 378
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.448
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.553
## ---------------------------------------
## Degrees of freedom: 378.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.447
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.553
## ---------------------------------------
## Degrees of freedom: 379
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.447
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.554
## ---------------------------------------
## Degrees of freedom: 379.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.446
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.554
## ---------------------------------------
## Degrees of freedom: 380
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.446
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.555
## ---------------------------------------
## Degrees of freedom: 380.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.445
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.555
## ---------------------------------------
## Degrees of freedom: 381
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.445
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.556
## ---------------------------------------
## Degrees of freedom: 381.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.444
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.556
## ---------------------------------------
## Degrees of freedom: 382
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.444
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.557
## ---------------------------------------
## Degrees of freedom: 382.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.443
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.557
## ---------------------------------------
## Degrees of freedom: 383
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.443
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.558
## ---------------------------------------
## Degrees of freedom: 383.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.442
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.559
## ---------------------------------------
## Degrees of freedom: 384
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.441
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.559
## ---------------------------------------
## Degrees of freedom: 384.5
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.441
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.56
## ---------------------------------------
## Degrees of freedom: 385
## Standardized standard error: 0.095
## Type I error rate: 0.05
## Type II error rate: 0.44
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.56
## ---------------------------------------
## Degrees of freedom: 385.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.44
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.561
## ---------------------------------------
## Degrees of freedom: 386
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.439
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.561
## ---------------------------------------
## Degrees of freedom: 386.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.439
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.562
## ---------------------------------------
## Degrees of freedom: 387
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.438
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.562
## ---------------------------------------
## Degrees of freedom: 387.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.438
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.563
## ---------------------------------------
## Degrees of freedom: 388
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.437
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.563
## ---------------------------------------
## Degrees of freedom: 388.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.437
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.564
## ---------------------------------------
## Degrees of freedom: 389
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.436
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.564
## ---------------------------------------
## Degrees of freedom: 389.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.436
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.565
## ---------------------------------------
## Degrees of freedom: 390
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.435
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.565
## ---------------------------------------
## Degrees of freedom: 390.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.435
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.566
## ---------------------------------------
## Degrees of freedom: 391
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.434
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.566
## ---------------------------------------
## Degrees of freedom: 391.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.434
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.567
## ---------------------------------------
## Degrees of freedom: 392
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.433
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.568
## ---------------------------------------
## Degrees of freedom: 392.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.432
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.568
## ---------------------------------------
## Degrees of freedom: 393
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.432
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.569
## ---------------------------------------
## Degrees of freedom: 393.5
## Standardized standard error: 0.094
## Type I error rate: 0.05
## Type II error rate: 0.431
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.569
## ---------------------------------------
## Degrees of freedom: 394
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.431
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.57
## ---------------------------------------
## Degrees of freedom: 394.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.43
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.57
## ---------------------------------------
## Degrees of freedom: 395
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.43
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.571
## ---------------------------------------
## Degrees of freedom: 395.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.429
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.571
## ---------------------------------------
## Degrees of freedom: 396
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.429
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.572
## ---------------------------------------
## Degrees of freedom: 396.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.428
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.572
## ---------------------------------------
## Degrees of freedom: 397
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.428
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.573
## ---------------------------------------
## Degrees of freedom: 397.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.427
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.573
## ---------------------------------------
## Degrees of freedom: 398
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.427
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.574
## ---------------------------------------
## Degrees of freedom: 398.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.426
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.574
## ---------------------------------------
## Degrees of freedom: 399
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.426
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.575
## ---------------------------------------
## Degrees of freedom: 399.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.425
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.575
## ---------------------------------------
## Degrees of freedom: 400
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.425
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.576
## ---------------------------------------
## Degrees of freedom: 400.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.424
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.576
## ---------------------------------------
## Degrees of freedom: 401
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.424
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.577
## ---------------------------------------
## Degrees of freedom: 401.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.423
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.577
## ---------------------------------------
## Degrees of freedom: 402
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.423
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.578
## ---------------------------------------
## Degrees of freedom: 402.5
## Standardized standard error: 0.093
## Type I error rate: 0.05
## Type II error rate: 0.422
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.578
## ---------------------------------------
## Degrees of freedom: 403
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.422
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.579
## ---------------------------------------
## Degrees of freedom: 403.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.421
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.58
## ---------------------------------------
## Degrees of freedom: 404
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.42
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.58
## ---------------------------------------
## Degrees of freedom: 404.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.42
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.581
## ---------------------------------------
## Degrees of freedom: 405
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.419
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.581
## ---------------------------------------
## Degrees of freedom: 405.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.419
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.582
## ---------------------------------------
## Degrees of freedom: 406
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.418
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.582
## ---------------------------------------
## Degrees of freedom: 406.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.418
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.583
## ---------------------------------------
## Degrees of freedom: 407
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.417
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.583
## ---------------------------------------
## Degrees of freedom: 407.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.417
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.584
## ---------------------------------------
## Degrees of freedom: 408
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.416
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.584
## ---------------------------------------
## Degrees of freedom: 408.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.416
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.585
## ---------------------------------------
## Degrees of freedom: 409
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.415
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.585
## ---------------------------------------
## Degrees of freedom: 409.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.415
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.586
## ---------------------------------------
## Degrees of freedom: 410
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.414
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.586
## ---------------------------------------
## Degrees of freedom: 410.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.414
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.587
## ---------------------------------------
## Degrees of freedom: 411
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.413
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.587
## ---------------------------------------
## Degrees of freedom: 411.5
## Standardized standard error: 0.092
## Type I error rate: 0.05
## Type II error rate: 0.413
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.588
## ---------------------------------------
## Degrees of freedom: 412
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.412
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.588
## ---------------------------------------
## Degrees of freedom: 412.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.412
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.589
## ---------------------------------------
## Degrees of freedom: 413
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.411
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.589
## ---------------------------------------
## Degrees of freedom: 413.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.411
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.59
## ---------------------------------------
## Degrees of freedom: 414
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.41
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.59
## ---------------------------------------
## Degrees of freedom: 414.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.41
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.591
## ---------------------------------------
## Degrees of freedom: 415
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.409
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.591
## ---------------------------------------
## Degrees of freedom: 415.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.409
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.592
## ---------------------------------------
## Degrees of freedom: 416
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.408
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.592
## ---------------------------------------
## Degrees of freedom: 416.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.408
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.593
## ---------------------------------------
## Degrees of freedom: 417
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.407
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.593
## ---------------------------------------
## Degrees of freedom: 417.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.407
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.594
## ---------------------------------------
## Degrees of freedom: 418
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.406
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.594
## ---------------------------------------
## Degrees of freedom: 418.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.406
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.595
## ---------------------------------------
## Degrees of freedom: 419
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.405
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.595
## ---------------------------------------
## Degrees of freedom: 419.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.405
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.596
## ---------------------------------------
## Degrees of freedom: 420
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.404
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.596
## ---------------------------------------
## Degrees of freedom: 420.5
## Standardized standard error: 0.091
## Type I error rate: 0.05
## Type II error rate: 0.404
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.597
## ---------------------------------------
## Degrees of freedom: 421
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.403
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.597
## ---------------------------------------
## Degrees of freedom: 421.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.403
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.598
## ---------------------------------------
## Degrees of freedom: 422
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.402
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.598
## ---------------------------------------
## Degrees of freedom: 422.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.402
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.599
## ---------------------------------------
## Degrees of freedom: 423
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.401
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.599
## ---------------------------------------
## Degrees of freedom: 423.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.401
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.6
## ---------------------------------------
## Degrees of freedom: 424
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.4
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.6
## ---------------------------------------
## Degrees of freedom: 424.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.4
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.601
## ---------------------------------------
## Degrees of freedom: 425
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.399
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.601
## ---------------------------------------
## Degrees of freedom: 425.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.399
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.602
## ---------------------------------------
## Degrees of freedom: 426
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.398
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.602
## ---------------------------------------
## Degrees of freedom: 426.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.398
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.603
## ---------------------------------------
## Degrees of freedom: 427
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.397
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.603
## ---------------------------------------
## Degrees of freedom: 427.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.397
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.604
## ---------------------------------------
## Degrees of freedom: 428
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.396
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.604
## ---------------------------------------
## Degrees of freedom: 428.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.396
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.605
## ---------------------------------------
## Degrees of freedom: 429
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.395
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.605
## ---------------------------------------
## Degrees of freedom: 429.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.395
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.606
## ---------------------------------------
## Degrees of freedom: 430
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.394
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.606
## ---------------------------------------
## Degrees of freedom: 430.5
## Standardized standard error: 0.09
## Type I error rate: 0.05
## Type II error rate: 0.394
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.607
## ---------------------------------------
## Degrees of freedom: 431
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.393
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.607
## ---------------------------------------
## Degrees of freedom: 431.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.393
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.608
## ---------------------------------------
## Degrees of freedom: 432
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.392
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.608
## ---------------------------------------
## Degrees of freedom: 432.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.392
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.609
## ---------------------------------------
## Degrees of freedom: 433
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.391
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.609
## ---------------------------------------
## Degrees of freedom: 433.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.391
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.61
## ---------------------------------------
## Degrees of freedom: 434
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.39
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.61
## ---------------------------------------
## Degrees of freedom: 434.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.39
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.611
## ---------------------------------------
## Degrees of freedom: 435
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.389
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.611
## ---------------------------------------
## Degrees of freedom: 435.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.389
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.612
## ---------------------------------------
## Degrees of freedom: 436
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.388
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.612
## ---------------------------------------
## Degrees of freedom: 436.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.388
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.613
## ---------------------------------------
## Degrees of freedom: 437
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.387
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.613
## ---------------------------------------
## Degrees of freedom: 437.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.387
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.614
## ---------------------------------------
## Degrees of freedom: 438
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.386
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.614
## ---------------------------------------
## Degrees of freedom: 438.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.386
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.615
## ---------------------------------------
## Degrees of freedom: 439
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.385
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.615
## ---------------------------------------
## Degrees of freedom: 439.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.385
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.616
## ---------------------------------------
## Degrees of freedom: 440
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.384
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.616
## ---------------------------------------
## Degrees of freedom: 440.5
## Standardized standard error: 0.089
## Type I error rate: 0.05
## Type II error rate: 0.384
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.616
## ---------------------------------------
## Degrees of freedom: 441
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.384
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.617
## ---------------------------------------
## Degrees of freedom: 441.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.383
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.617
## ---------------------------------------
## Degrees of freedom: 442
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.383
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.618
## ---------------------------------------
## Degrees of freedom: 442.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.382
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.618
## ---------------------------------------
## Degrees of freedom: 443
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.382
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.619
## ---------------------------------------
## Degrees of freedom: 443.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.381
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.619
## ---------------------------------------
## Degrees of freedom: 444
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.381
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.62
## ---------------------------------------
## Degrees of freedom: 444.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.38
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.62
## ---------------------------------------
## Degrees of freedom: 445
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.38
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.621
## ---------------------------------------
## Degrees of freedom: 445.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.379
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.621
## ---------------------------------------
## Degrees of freedom: 446
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.379
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.622
## ---------------------------------------
## Degrees of freedom: 446.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.378
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.622
## ---------------------------------------
## Degrees of freedom: 447
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.378
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.623
## ---------------------------------------
## Degrees of freedom: 447.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.377
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.623
## ---------------------------------------
## Degrees of freedom: 448
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.377
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.624
## ---------------------------------------
## Degrees of freedom: 448.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.376
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.624
## ---------------------------------------
## Degrees of freedom: 449
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.376
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.625
## ---------------------------------------
## Degrees of freedom: 449.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.375
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.625
## ---------------------------------------
## Degrees of freedom: 450
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.375
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.626
## ---------------------------------------
## Degrees of freedom: 450.5
## Standardized standard error: 0.088
## Type I error rate: 0.05
## Type II error rate: 0.374
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.626
## ---------------------------------------
## Degrees of freedom: 451
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.374
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.627
## ---------------------------------------
## Degrees of freedom: 451.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.373
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.627
## ---------------------------------------
## Degrees of freedom: 452
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.373
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.627
## ---------------------------------------
## Degrees of freedom: 452.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.373
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.628
## ---------------------------------------
## Degrees of freedom: 453
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.372
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.628
## ---------------------------------------
## Degrees of freedom: 453.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.372
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.629
## ---------------------------------------
## Degrees of freedom: 454
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.371
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.629
## ---------------------------------------
## Degrees of freedom: 454.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.371
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.63
## ---------------------------------------
## Degrees of freedom: 455
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.37
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.63
## ---------------------------------------
## Degrees of freedom: 455.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.37
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.631
## ---------------------------------------
## Degrees of freedom: 456
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.369
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.631
## ---------------------------------------
## Degrees of freedom: 456.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.369
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.632
## ---------------------------------------
## Degrees of freedom: 457
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.368
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.632
## ---------------------------------------
## Degrees of freedom: 457.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.368
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.633
## ---------------------------------------
## Degrees of freedom: 458
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.367
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.633
## ---------------------------------------
## Degrees of freedom: 458.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.367
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.634
## ---------------------------------------
## Degrees of freedom: 459
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.366
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.634
## ---------------------------------------
## Degrees of freedom: 459.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.366
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.635
## ---------------------------------------
## Degrees of freedom: 460
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.365
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.635
## ---------------------------------------
## Degrees of freedom: 460.5
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.365
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.635
## ---------------------------------------
## Degrees of freedom: 461
## Standardized standard error: 0.087
## Type I error rate: 0.05
## Type II error rate: 0.365
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.636
## ---------------------------------------
## Degrees of freedom: 461.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.364
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.636
## ---------------------------------------
## Degrees of freedom: 462
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.364
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.637
## ---------------------------------------
## Degrees of freedom: 462.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.363
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.637
## ---------------------------------------
## Degrees of freedom: 463
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.363
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.638
## ---------------------------------------
## Degrees of freedom: 463.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.362
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.638
## ---------------------------------------
## Degrees of freedom: 464
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.362
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.639
## ---------------------------------------
## Degrees of freedom: 464.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.361
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.639
## ---------------------------------------
## Degrees of freedom: 465
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.361
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.64
## ---------------------------------------
## Degrees of freedom: 465.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.36
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.64
## ---------------------------------------
## Degrees of freedom: 466
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.36
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.641
## ---------------------------------------
## Degrees of freedom: 466.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.359
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.641
## ---------------------------------------
## Degrees of freedom: 467
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.359
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.641
## ---------------------------------------
## Degrees of freedom: 467.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.359
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.642
## ---------------------------------------
## Degrees of freedom: 468
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.358
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.642
## ---------------------------------------
## Degrees of freedom: 468.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.358
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.643
## ---------------------------------------
## Degrees of freedom: 469
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.357
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.643
## ---------------------------------------
## Degrees of freedom: 469.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.357
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.644
## ---------------------------------------
## Degrees of freedom: 470
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.356
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.644
## ---------------------------------------
## Degrees of freedom: 470.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.356
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.645
## ---------------------------------------
## Degrees of freedom: 471
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.355
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.645
## ---------------------------------------
## Degrees of freedom: 471.5
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.355
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.646
## ---------------------------------------
## Degrees of freedom: 472
## Standardized standard error: 0.086
## Type I error rate: 0.05
## Type II error rate: 0.354
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.646
## ---------------------------------------
## Degrees of freedom: 472.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.354
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.646
## ---------------------------------------
## Degrees of freedom: 473
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.354
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.647
## ---------------------------------------
## Degrees of freedom: 473.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.353
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.647
## ---------------------------------------
## Degrees of freedom: 474
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.353
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.648
## ---------------------------------------
## Degrees of freedom: 474.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.352
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.648
## ---------------------------------------
## Degrees of freedom: 475
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.352
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.649
## ---------------------------------------
## Degrees of freedom: 475.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.351
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.649
## ---------------------------------------
## Degrees of freedom: 476
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.351
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.65
## ---------------------------------------
## Degrees of freedom: 476.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.35
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.65
## ---------------------------------------
## Degrees of freedom: 477
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.35
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.651
## ---------------------------------------
## Degrees of freedom: 477.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.349
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.651
## ---------------------------------------
## Degrees of freedom: 478
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.349
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.651
## ---------------------------------------
## Degrees of freedom: 478.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.349
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.652
## ---------------------------------------
## Degrees of freedom: 479
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.348
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.652
## ---------------------------------------
## Degrees of freedom: 479.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.348
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.653
## ---------------------------------------
## Degrees of freedom: 480
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.347
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.653
## ---------------------------------------
## Degrees of freedom: 480.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.347
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.654
## ---------------------------------------
## Degrees of freedom: 481
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.346
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.654
## ---------------------------------------
## Degrees of freedom: 481.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.346
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.655
## ---------------------------------------
## Degrees of freedom: 482
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.345
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.655
## ---------------------------------------
## Degrees of freedom: 482.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.345
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.655
## ---------------------------------------
## Degrees of freedom: 483
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.345
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.656
## ---------------------------------------
## Degrees of freedom: 483.5
## Standardized standard error: 0.085
## Type I error rate: 0.05
## Type II error rate: 0.344
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.656
## ---------------------------------------
## Degrees of freedom: 484
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.344
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.657
## ---------------------------------------
## Degrees of freedom: 484.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.343
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.657
## ---------------------------------------
## Degrees of freedom: 485
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.343
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.658
## ---------------------------------------
## Degrees of freedom: 485.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.342
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.658
## ---------------------------------------
## Degrees of freedom: 486
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.342
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.659
## ---------------------------------------
## Degrees of freedom: 486.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.341
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.659
## ---------------------------------------
## Degrees of freedom: 487
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.341
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.659
## ---------------------------------------
## Degrees of freedom: 487.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.341
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.66
## ---------------------------------------
## Degrees of freedom: 488
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.34
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.66
## ---------------------------------------
## Degrees of freedom: 488.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.34
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.661
## ---------------------------------------
## Degrees of freedom: 489
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.339
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.661
## ---------------------------------------
## Degrees of freedom: 489.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.339
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.662
## ---------------------------------------
## Degrees of freedom: 490
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.338
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.662
## ---------------------------------------
## Degrees of freedom: 490.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.338
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.663
## ---------------------------------------
## Degrees of freedom: 491
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.337
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.663
## ---------------------------------------
## Degrees of freedom: 491.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.337
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.663
## ---------------------------------------
## Degrees of freedom: 492
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.337
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.664
## ---------------------------------------
## Degrees of freedom: 492.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.336
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.664
## ---------------------------------------
## Degrees of freedom: 493
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.336
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.665
## ---------------------------------------
## Degrees of freedom: 493.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.335
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.665
## ---------------------------------------
## Degrees of freedom: 494
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.335
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.666
## ---------------------------------------
## Degrees of freedom: 494.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.334
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.666
## ---------------------------------------
## Degrees of freedom: 495
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.334
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.666
## ---------------------------------------
## Degrees of freedom: 495.5
## Standardized standard error: 0.084
## Type I error rate: 0.05
## Type II error rate: 0.334
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.667
## ---------------------------------------
## Degrees of freedom: 496
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.333
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.667
## ---------------------------------------
## Degrees of freedom: 496.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.333
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.668
## ---------------------------------------
## Degrees of freedom: 497
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.332
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.668
## ---------------------------------------
## Degrees of freedom: 497.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.332
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.669
## ---------------------------------------
## Degrees of freedom: 498
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.331
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.669
## ---------------------------------------
## Degrees of freedom: 498.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.331
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.669
## ---------------------------------------
## Degrees of freedom: 499
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.331
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.67
## ---------------------------------------
## Degrees of freedom: 499.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.33
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.67
## ---------------------------------------
## Degrees of freedom: 500
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.33
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.671
## ---------------------------------------
## Degrees of freedom: 500.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.329
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.671
## ---------------------------------------
## Degrees of freedom: 501
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.329
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.672
## ---------------------------------------
## Degrees of freedom: 501.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.328
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.672
## ---------------------------------------
## Degrees of freedom: 502
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.328
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.672
## ---------------------------------------
## Degrees of freedom: 502.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.328
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.673
## ---------------------------------------
## Degrees of freedom: 503
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.327
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.673
## ---------------------------------------
## Degrees of freedom: 503.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.327
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.674
## ---------------------------------------
## Degrees of freedom: 504
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.326
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.674
## ---------------------------------------
## Degrees of freedom: 504.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.326
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.675
## ---------------------------------------
## Degrees of freedom: 505
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.325
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.675
## ---------------------------------------
## Degrees of freedom: 505.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.325
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.675
## ---------------------------------------
## Degrees of freedom: 506
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.325
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.676
## ---------------------------------------
## Degrees of freedom: 506.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.324
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.676
## ---------------------------------------
## Degrees of freedom: 507
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.324
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.677
## ---------------------------------------
## Degrees of freedom: 507.5
## Standardized standard error: 0.083
## Type I error rate: 0.05
## Type II error rate: 0.323
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.677
## ---------------------------------------
## Degrees of freedom: 508
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.323
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.678
## ---------------------------------------
## Degrees of freedom: 508.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.322
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.678
## ---------------------------------------
## Degrees of freedom: 509
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.322
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.678
## ---------------------------------------
## Degrees of freedom: 509.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.322
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.679
## ---------------------------------------
## Degrees of freedom: 510
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.321
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.679
## ---------------------------------------
## Degrees of freedom: 510.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.321
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.68
## ---------------------------------------
## Degrees of freedom: 511
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.32
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.68
## ---------------------------------------
## Degrees of freedom: 511.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.32
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.681
## ---------------------------------------
## Degrees of freedom: 512
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.319
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.681
## ---------------------------------------
## Degrees of freedom: 512.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.319
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.681
## ---------------------------------------
## Degrees of freedom: 513
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.319
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.682
## ---------------------------------------
## Degrees of freedom: 513.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.318
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.682
## ---------------------------------------
## Degrees of freedom: 514
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.318
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.683
## ---------------------------------------
## Degrees of freedom: 514.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.317
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.683
## ---------------------------------------
## Degrees of freedom: 515
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.317
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.683
## ---------------------------------------
## Degrees of freedom: 515.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.317
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.684
## ---------------------------------------
## Degrees of freedom: 516
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.316
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.684
## ---------------------------------------
## Degrees of freedom: 516.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.316
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.685
## ---------------------------------------
## Degrees of freedom: 517
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.315
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.685
## ---------------------------------------
## Degrees of freedom: 517.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.315
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.686
## ---------------------------------------
## Degrees of freedom: 518
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.314
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.686
## ---------------------------------------
## Degrees of freedom: 518.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.314
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.686
## ---------------------------------------
## Degrees of freedom: 519
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.314
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.687
## ---------------------------------------
## Degrees of freedom: 519.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.313
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.687
## ---------------------------------------
## Degrees of freedom: 520
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.313
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.688
## ---------------------------------------
## Degrees of freedom: 520.5
## Standardized standard error: 0.082
## Type I error rate: 0.05
## Type II error rate: 0.312
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.688
## ---------------------------------------
## Degrees of freedom: 521
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.312
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.688
## ---------------------------------------
## Degrees of freedom: 521.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.312
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.689
## ---------------------------------------
## Degrees of freedom: 522
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.311
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.689
## ---------------------------------------
## Degrees of freedom: 522.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.311
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.69
## ---------------------------------------
## Degrees of freedom: 523
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.31
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.69
## ---------------------------------------
## Degrees of freedom: 523.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.31
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.69
## ---------------------------------------
## Degrees of freedom: 524
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.31
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.691
## ---------------------------------------
## Degrees of freedom: 524.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.309
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.691
## ---------------------------------------
## Degrees of freedom: 525
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.309
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.692
## ---------------------------------------
## Degrees of freedom: 525.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.308
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.692
## ---------------------------------------
## Degrees of freedom: 526
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.308
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.693
## ---------------------------------------
## Degrees of freedom: 526.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.307
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.693
## ---------------------------------------
## Degrees of freedom: 527
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.307
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.693
## ---------------------------------------
## Degrees of freedom: 527.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.307
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.694
## ---------------------------------------
## Degrees of freedom: 528
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.306
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.694
## ---------------------------------------
## Degrees of freedom: 528.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.306
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.695
## ---------------------------------------
## Degrees of freedom: 529
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.305
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.695
## ---------------------------------------
## Degrees of freedom: 529.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.305
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.695
## ---------------------------------------
## Degrees of freedom: 530
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.305
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.696
## ---------------------------------------
## Degrees of freedom: 530.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.304
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.696
## ---------------------------------------
## Degrees of freedom: 531
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.304
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.697
## ---------------------------------------
## Degrees of freedom: 531.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.303
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.697
## ---------------------------------------
## Degrees of freedom: 532
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.303
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.697
## ---------------------------------------
## Degrees of freedom: 532.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.303
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.698
## ---------------------------------------
## Degrees of freedom: 533
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.302
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.698
## ---------------------------------------
## Degrees of freedom: 533.5
## Standardized standard error: 0.081
## Type I error rate: 0.05
## Type II error rate: 0.302
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.699
## ---------------------------------------
## Degrees of freedom: 534
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.301
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.699
## ---------------------------------------
## Degrees of freedom: 534.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.301
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.699
## ---------------------------------------
## Degrees of freedom: 535
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.301
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.7
## ---------------------------------------
## Degrees of freedom: 535.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.3
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.7
## ---------------------------------------
## Degrees of freedom: 536
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.3
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.701
## ---------------------------------------
## Degrees of freedom: 536.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.299
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.701
## ---------------------------------------
## Degrees of freedom: 537
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.299
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.701
## ---------------------------------------
## Degrees of freedom: 537.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.299
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.702
## ---------------------------------------
## Degrees of freedom: 538
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.298
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.702
## ---------------------------------------
## Degrees of freedom: 538.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.298
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.703
## ---------------------------------------
## Degrees of freedom: 539
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.297
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.703
## ---------------------------------------
## Degrees of freedom: 539.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.297
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.703
## ---------------------------------------
## Degrees of freedom: 540
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.297
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.704
## ---------------------------------------
## Degrees of freedom: 540.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.296
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.704
## ---------------------------------------
## Degrees of freedom: 541
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.296
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.705
## ---------------------------------------
## Degrees of freedom: 541.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.295
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.705
## ---------------------------------------
## Degrees of freedom: 542
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.295
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.705
## ---------------------------------------
## Degrees of freedom: 542.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.295
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.706
## ---------------------------------------
## Degrees of freedom: 543
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.294
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.706
## ---------------------------------------
## Degrees of freedom: 543.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.294
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.707
## ---------------------------------------
## Degrees of freedom: 544
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.293
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.707
## ---------------------------------------
## Degrees of freedom: 544.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.293
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.707
## ---------------------------------------
## Degrees of freedom: 545
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.293
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.708
## ---------------------------------------
## Degrees of freedom: 545.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.292
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.708
## ---------------------------------------
## Degrees of freedom: 546
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.292
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.708
## ---------------------------------------
## Degrees of freedom: 546.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.292
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.709
## ---------------------------------------
## Degrees of freedom: 547
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.291
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.709
## ---------------------------------------
## Degrees of freedom: 547.5
## Standardized standard error: 0.08
## Type I error rate: 0.05
## Type II error rate: 0.291
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.71
## ---------------------------------------
## Degrees of freedom: 548
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.29
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.71
## ---------------------------------------
## Degrees of freedom: 548.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.29
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.71
## ---------------------------------------
## Degrees of freedom: 549
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.29
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.711
## ---------------------------------------
## Degrees of freedom: 549.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.289
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.711
## ---------------------------------------
## Degrees of freedom: 550
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.289
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.712
## ---------------------------------------
## Degrees of freedom: 550.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.288
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.712
## ---------------------------------------
## Degrees of freedom: 551
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.288
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.712
## ---------------------------------------
## Degrees of freedom: 551.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.288
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.713
## ---------------------------------------
## Degrees of freedom: 552
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.287
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.713
## ---------------------------------------
## Degrees of freedom: 552.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.287
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.714
## ---------------------------------------
## Degrees of freedom: 553
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.286
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.714
## ---------------------------------------
## Degrees of freedom: 553.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.286
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.714
## ---------------------------------------
## Degrees of freedom: 554
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.286
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.715
## ---------------------------------------
## Degrees of freedom: 554.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.285
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.715
## ---------------------------------------
## Degrees of freedom: 555
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.285
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.715
## ---------------------------------------
## Degrees of freedom: 555.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.285
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.716
## ---------------------------------------
## Degrees of freedom: 556
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.284
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.716
## ---------------------------------------
## Degrees of freedom: 556.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.284
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.717
## ---------------------------------------
## Degrees of freedom: 557
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.283
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.717
## ---------------------------------------
## Degrees of freedom: 557.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.283
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.717
## ---------------------------------------
## Degrees of freedom: 558
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.283
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.718
## ---------------------------------------
## Degrees of freedom: 558.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.282
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.718
## ---------------------------------------
## Degrees of freedom: 559
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.282
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.718
## ---------------------------------------
## Degrees of freedom: 559.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.282
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.719
## ---------------------------------------
## Degrees of freedom: 560
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.281
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.719
## ---------------------------------------
## Degrees of freedom: 560.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.281
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.72
## ---------------------------------------
## Degrees of freedom: 561
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.28
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.72
## ---------------------------------------
## Degrees of freedom: 561.5
## Standardized standard error: 0.079
## Type I error rate: 0.05
## Type II error rate: 0.28
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.72
## ---------------------------------------
## Degrees of freedom: 562
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.28
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.721
## ---------------------------------------
## Degrees of freedom: 562.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.279
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.721
## ---------------------------------------
## Degrees of freedom: 563
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.279
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.721
## ---------------------------------------
## Degrees of freedom: 563.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.279
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.722
## ---------------------------------------
## Degrees of freedom: 564
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.278
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.722
## ---------------------------------------
## Degrees of freedom: 564.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.278
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.723
## ---------------------------------------
## Degrees of freedom: 565
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.277
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.723
## ---------------------------------------
## Degrees of freedom: 565.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.277
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.723
## ---------------------------------------
## Degrees of freedom: 566
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.277
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.724
## ---------------------------------------
## Degrees of freedom: 566.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.276
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.724
## ---------------------------------------
## Degrees of freedom: 567
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.276
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.724
## ---------------------------------------
## Degrees of freedom: 567.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.276
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.725
## ---------------------------------------
## Degrees of freedom: 568
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.275
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.725
## ---------------------------------------
## Degrees of freedom: 568.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.275
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.726
## ---------------------------------------
## Degrees of freedom: 569
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.274
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.726
## ---------------------------------------
## Degrees of freedom: 569.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.274
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.726
## ---------------------------------------
## Degrees of freedom: 570
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.274
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.727
## ---------------------------------------
## Degrees of freedom: 570.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.273
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.727
## ---------------------------------------
## Degrees of freedom: 571
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.273
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.727
## ---------------------------------------
## Degrees of freedom: 571.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.273
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.728
## ---------------------------------------
## Degrees of freedom: 572
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.272
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.728
## ---------------------------------------
## Degrees of freedom: 572.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.272
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.729
## ---------------------------------------
## Degrees of freedom: 573
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.271
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.729
## ---------------------------------------
## Degrees of freedom: 573.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.271
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.729
## ---------------------------------------
## Degrees of freedom: 574
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.271
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.73
## ---------------------------------------
## Degrees of freedom: 574.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.27
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.73
## ---------------------------------------
## Degrees of freedom: 575
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.27
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.73
## ---------------------------------------
## Degrees of freedom: 575.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.27
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.731
## ---------------------------------------
## Degrees of freedom: 576
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.269
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.731
## ---------------------------------------
## Degrees of freedom: 576.5
## Standardized standard error: 0.078
## Type I error rate: 0.05
## Type II error rate: 0.269
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.731
## ---------------------------------------
## Degrees of freedom: 577
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.269
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.732
## ---------------------------------------
## Degrees of freedom: 577.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.268
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.732
## ---------------------------------------
## Degrees of freedom: 578
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.268
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.733
## ---------------------------------------
## Degrees of freedom: 578.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.267
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.733
## ---------------------------------------
## Degrees of freedom: 579
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.267
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.733
## ---------------------------------------
## Degrees of freedom: 579.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.267
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.734
## ---------------------------------------
## Degrees of freedom: 580
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.266
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.734
## ---------------------------------------
## Degrees of freedom: 580.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.266
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.734
## ---------------------------------------
## Degrees of freedom: 581
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.266
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.735
## ---------------------------------------
## Degrees of freedom: 581.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.265
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.735
## ---------------------------------------
## Degrees of freedom: 582
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.265
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.735
## ---------------------------------------
## Degrees of freedom: 582.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.265
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.736
## ---------------------------------------
## Degrees of freedom: 583
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.264
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.736
## ---------------------------------------
## Degrees of freedom: 583.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.264
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.737
## ---------------------------------------
## Degrees of freedom: 584
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.263
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.737
## ---------------------------------------
## Degrees of freedom: 584.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.263
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.737
## ---------------------------------------
## Degrees of freedom: 585
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.263
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.738
## ---------------------------------------
## Degrees of freedom: 585.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.262
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.738
## ---------------------------------------
## Degrees of freedom: 586
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.262
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.738
## ---------------------------------------
## Degrees of freedom: 586.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.262
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.739
## ---------------------------------------
## Degrees of freedom: 587
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.261
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.739
## ---------------------------------------
## Degrees of freedom: 587.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.261
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.739
## ---------------------------------------
## Degrees of freedom: 588
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.261
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.74
## ---------------------------------------
## Degrees of freedom: 588.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.26
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.74
## ---------------------------------------
## Degrees of freedom: 589
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.26
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.74
## ---------------------------------------
## Degrees of freedom: 589.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.26
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.741
## ---------------------------------------
## Degrees of freedom: 590
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.259
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.741
## ---------------------------------------
## Degrees of freedom: 590.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.259
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.742
## ---------------------------------------
## Degrees of freedom: 591
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.258
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.742
## ---------------------------------------
## Degrees of freedom: 591.5
## Standardized standard error: 0.077
## Type I error rate: 0.05
## Type II error rate: 0.258
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.742
## ---------------------------------------
## Degrees of freedom: 592
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.258
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.743
## ---------------------------------------
## Degrees of freedom: 592.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.257
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.743
## ---------------------------------------
## Degrees of freedom: 593
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.257
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.743
## ---------------------------------------
## Degrees of freedom: 593.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.257
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.744
## ---------------------------------------
## Degrees of freedom: 594
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.256
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.744
## ---------------------------------------
## Degrees of freedom: 594.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.256
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.744
## ---------------------------------------
## Degrees of freedom: 595
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.256
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.745
## ---------------------------------------
## Degrees of freedom: 595.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.255
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.745
## ---------------------------------------
## Degrees of freedom: 596
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.255
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.745
## ---------------------------------------
## Degrees of freedom: 596.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.255
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.746
## ---------------------------------------
## Degrees of freedom: 597
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.254
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.746
## ---------------------------------------
## Degrees of freedom: 597.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.254
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.746
## ---------------------------------------
## Degrees of freedom: 598
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.254
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.747
## ---------------------------------------
## Degrees of freedom: 598.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.253
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.747
## ---------------------------------------
## Degrees of freedom: 599
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.253
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.748
## ---------------------------------------
## Degrees of freedom: 599.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.252
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.748
## ---------------------------------------
## Degrees of freedom: 600
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.252
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.748
## ---------------------------------------
## Degrees of freedom: 600.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.252
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.749
## ---------------------------------------
## Degrees of freedom: 601
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.251
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.749
## ---------------------------------------
## Degrees of freedom: 601.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.251
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.749
## ---------------------------------------
## Degrees of freedom: 602
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.251
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.75
## ---------------------------------------
## Degrees of freedom: 602.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.25
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.75
## ---------------------------------------
## Degrees of freedom: 603
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.25
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.75
## ---------------------------------------
## Degrees of freedom: 603.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.25
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.751
## ---------------------------------------
## Degrees of freedom: 604
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.249
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.751
## ---------------------------------------
## Degrees of freedom: 604.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.249
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.751
## ---------------------------------------
## Degrees of freedom: 605
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.249
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.752
## ---------------------------------------
## Degrees of freedom: 605.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.248
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.752
## ---------------------------------------
## Degrees of freedom: 606
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.248
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.752
## ---------------------------------------
## Degrees of freedom: 606.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.248
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.753
## ---------------------------------------
## Degrees of freedom: 607
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.247
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.753
## ---------------------------------------
## Degrees of freedom: 607.5
## Standardized standard error: 0.076
## Type I error rate: 0.05
## Type II error rate: 0.247
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.753
## ---------------------------------------
## Degrees of freedom: 608
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.247
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.754
## ---------------------------------------
## Degrees of freedom: 608.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.246
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.754
## ---------------------------------------
## Degrees of freedom: 609
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.246
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.754
## ---------------------------------------
## Degrees of freedom: 609.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.246
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.755
## ---------------------------------------
## Degrees of freedom: 610
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.245
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.755
## ---------------------------------------
## Degrees of freedom: 610.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.245
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.755
## ---------------------------------------
## Degrees of freedom: 611
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.245
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.756
## ---------------------------------------
## Degrees of freedom: 611.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.244
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.756
## ---------------------------------------
## Degrees of freedom: 612
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.244
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.756
## ---------------------------------------
## Degrees of freedom: 612.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.244
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.757
## ---------------------------------------
## Degrees of freedom: 613
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.243
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.757
## ---------------------------------------
## Degrees of freedom: 613.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.243
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.757
## ---------------------------------------
## Degrees of freedom: 614
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.243
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.758
## ---------------------------------------
## Degrees of freedom: 614.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.242
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.758
## ---------------------------------------
## Degrees of freedom: 615
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.242
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.758
## ---------------------------------------
## Degrees of freedom: 615.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.242
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.759
## ---------------------------------------
## Degrees of freedom: 616
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.241
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.759
## ---------------------------------------
## Degrees of freedom: 616.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.241
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.759
## ---------------------------------------
## Degrees of freedom: 617
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.241
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.76
## ---------------------------------------
## Degrees of freedom: 617.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.24
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.76
## ---------------------------------------
## Degrees of freedom: 618
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.24
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.76
## ---------------------------------------
## Degrees of freedom: 618.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.24
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.761
## ---------------------------------------
## Degrees of freedom: 619
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.239
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.761
## ---------------------------------------
## Degrees of freedom: 619.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.239
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.761
## ---------------------------------------
## Degrees of freedom: 620
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.239
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.762
## ---------------------------------------
## Degrees of freedom: 620.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.238
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.762
## ---------------------------------------
## Degrees of freedom: 621
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.238
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.762
## ---------------------------------------
## Degrees of freedom: 621.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.238
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.763
## ---------------------------------------
## Degrees of freedom: 622
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.237
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.763
## ---------------------------------------
## Degrees of freedom: 622.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.237
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.763
## ---------------------------------------
## Degrees of freedom: 623
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.237
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.764
## ---------------------------------------
## Degrees of freedom: 623.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.236
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.764
## ---------------------------------------
## Degrees of freedom: 624
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.236
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.764
## ---------------------------------------
## Degrees of freedom: 624.5
## Standardized standard error: 0.075
## Type I error rate: 0.05
## Type II error rate: 0.236
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.765
## ---------------------------------------
## Degrees of freedom: 625
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.235
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.765
## ---------------------------------------
## Degrees of freedom: 625.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.235
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.765
## ---------------------------------------
## Degrees of freedom: 626
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.235
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.766
## ---------------------------------------
## Degrees of freedom: 626.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.234
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.766
## ---------------------------------------
## Degrees of freedom: 627
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.234
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.766
## ---------------------------------------
## Degrees of freedom: 627.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.234
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.767
## ---------------------------------------
## Degrees of freedom: 628
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.233
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.767
## ---------------------------------------
## Degrees of freedom: 628.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.233
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.767
## ---------------------------------------
## Degrees of freedom: 629
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.233
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.768
## ---------------------------------------
## Degrees of freedom: 629.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.232
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.768
## ---------------------------------------
## Degrees of freedom: 630
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.232
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.768
## ---------------------------------------
## Degrees of freedom: 630.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.232
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.769
## ---------------------------------------
## Degrees of freedom: 631
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.231
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.769
## ---------------------------------------
## Degrees of freedom: 631.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.231
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.769
## ---------------------------------------
## Degrees of freedom: 632
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.231
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.77
## ---------------------------------------
## Degrees of freedom: 632.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.23
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.77
## ---------------------------------------
## Degrees of freedom: 633
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.23
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.77
## ---------------------------------------
## Degrees of freedom: 633.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.23
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.771
## ---------------------------------------
## Degrees of freedom: 634
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.229
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.771
## ---------------------------------------
## Degrees of freedom: 634.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.229
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.771
## ---------------------------------------
## Degrees of freedom: 635
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.229
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.771
## ---------------------------------------
## Degrees of freedom: 635.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.229
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.772
## ---------------------------------------
## Degrees of freedom: 636
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.228
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.772
## ---------------------------------------
## Degrees of freedom: 636.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.228
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.772
## ---------------------------------------
## Degrees of freedom: 637
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.228
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.773
## ---------------------------------------
## Degrees of freedom: 637.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.227
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.773
## ---------------------------------------
## Degrees of freedom: 638
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.227
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.773
## ---------------------------------------
## Degrees of freedom: 638.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.227
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.774
## ---------------------------------------
## Degrees of freedom: 639
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.226
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.774
## ---------------------------------------
## Degrees of freedom: 639.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.226
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.774
## ---------------------------------------
## Degrees of freedom: 640
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.226
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.775
## ---------------------------------------
## Degrees of freedom: 640.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.225
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.775
## ---------------------------------------
## Degrees of freedom: 641
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.225
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.775
## ---------------------------------------
## Degrees of freedom: 641.5
## Standardized standard error: 0.074
## Type I error rate: 0.05
## Type II error rate: 0.225
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.776
## ---------------------------------------
## Degrees of freedom: 642
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.224
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.776
## ---------------------------------------
## Degrees of freedom: 642.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.224
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.776
## ---------------------------------------
## Degrees of freedom: 643
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.224
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 643.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 644
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 644.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.777
## ---------------------------------------
## Degrees of freedom: 645
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.223
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.778
## ---------------------------------------
## Degrees of freedom: 645.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.222
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.778
## ---------------------------------------
## Degrees of freedom: 646
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.222
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.778
## ---------------------------------------
## Degrees of freedom: 646.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.222
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.779
## ---------------------------------------
## Degrees of freedom: 647
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.221
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.779
## ---------------------------------------
## Degrees of freedom: 647.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.221
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.779
## ---------------------------------------
## Degrees of freedom: 648
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.221
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.78
## ---------------------------------------
## Degrees of freedom: 648.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.22
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.78
## ---------------------------------------
## Degrees of freedom: 649
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.22
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.78
## ---------------------------------------
## Degrees of freedom: 649.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.22
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.781
## ---------------------------------------
## Degrees of freedom: 650
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.219
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.781
## ---------------------------------------
## Degrees of freedom: 650.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.219
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.781
## ---------------------------------------
## Degrees of freedom: 651
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.219
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 651.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 652
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 652.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.782
## ---------------------------------------
## Degrees of freedom: 653
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.218
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.783
## ---------------------------------------
## Degrees of freedom: 653.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.217
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.783
## ---------------------------------------
## Degrees of freedom: 654
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.217
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.783
## ---------------------------------------
## Degrees of freedom: 654.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.217
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.784
## ---------------------------------------
## Degrees of freedom: 655
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.216
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.784
## ---------------------------------------
## Degrees of freedom: 655.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.216
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.784
## ---------------------------------------
## Degrees of freedom: 656
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.216
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 656.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 657
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 657.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.785
## ---------------------------------------
## Degrees of freedom: 658
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.215
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.786
## ---------------------------------------
## Degrees of freedom: 658.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.214
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.786
## ---------------------------------------
## Degrees of freedom: 659
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.214
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.786
## ---------------------------------------
## Degrees of freedom: 659.5
## Standardized standard error: 0.073
## Type I error rate: 0.05
## Type II error rate: 0.214
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.787
## ---------------------------------------
## Degrees of freedom: 660
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.213
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.787
## ---------------------------------------
## Degrees of freedom: 660.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.213
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.787
## ---------------------------------------
## Degrees of freedom: 661
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.213
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 661.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 662
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 662.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.788
## ---------------------------------------
## Degrees of freedom: 663
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.212
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.789
## ---------------------------------------
## Degrees of freedom: 663.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.211
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.789
## ---------------------------------------
## Degrees of freedom: 664
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.211
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.789
## ---------------------------------------
## Degrees of freedom: 664.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.211
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.79
## ---------------------------------------
## Degrees of freedom: 665
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.21
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.79
## ---------------------------------------
## Degrees of freedom: 665.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.21
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.79
## ---------------------------------------
## Degrees of freedom: 666
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.21
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 666.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 667
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 667.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.791
## ---------------------------------------
## Degrees of freedom: 668
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.209
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.792
## ---------------------------------------
## Degrees of freedom: 668.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.208
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.792
## ---------------------------------------
## Degrees of freedom: 669
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.208
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.792
## ---------------------------------------
## Degrees of freedom: 669.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.208
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.793
## ---------------------------------------
## Degrees of freedom: 670
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.207
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.793
## ---------------------------------------
## Degrees of freedom: 670.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.207
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.793
## ---------------------------------------
## Degrees of freedom: 671
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.207
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 671.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 672
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 672.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.794
## ---------------------------------------
## Degrees of freedom: 673
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.206
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.795
## ---------------------------------------
## Degrees of freedom: 673.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.205
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.795
## ---------------------------------------
## Degrees of freedom: 674
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.205
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.795
## ---------------------------------------
## Degrees of freedom: 674.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.205
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.796
## ---------------------------------------
## Degrees of freedom: 675
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.204
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.796
## ---------------------------------------
## Degrees of freedom: 675.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.204
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.796
## ---------------------------------------
## Degrees of freedom: 676
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.204
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.796
## ---------------------------------------
## Degrees of freedom: 676.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.204
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.797
## ---------------------------------------
## Degrees of freedom: 677
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.203
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.797
## ---------------------------------------
## Degrees of freedom: 677.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.203
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.797
## ---------------------------------------
## Degrees of freedom: 678
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.203
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 678.5
## Standardized standard error: 0.072
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 679
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 679.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.798
## ---------------------------------------
## Degrees of freedom: 680
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.202
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.799
## ---------------------------------------
## Degrees of freedom: 680.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.201
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.799
## ---------------------------------------
## Degrees of freedom: 681
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.201
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.799
## ---------------------------------------
## Degrees of freedom: 681.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.201
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.8
## ---------------------------------------
## Degrees of freedom: 682
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.8
## ---------------------------------------
## Degrees of freedom: 682.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.8
## ---------------------------------------
## Degrees of freedom: 683
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.8
## ---------------------------------------
## Degrees of freedom: 683.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.2
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.801
## ---------------------------------------
## Degrees of freedom: 684
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.199
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.801
## ---------------------------------------
## Degrees of freedom: 684.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.199
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.801
## ---------------------------------------
## Degrees of freedom: 685
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.199
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 685.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 686
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 686.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.802
## ---------------------------------------
## Degrees of freedom: 687
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.198
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.803
## ---------------------------------------
## Degrees of freedom: 687.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.197
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.803
## ---------------------------------------
## Degrees of freedom: 688
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.197
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.803
## ---------------------------------------
## Degrees of freedom: 688.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.197
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.804
## ---------------------------------------
## Degrees of freedom: 689
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.196
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.804
## ---------------------------------------
## Degrees of freedom: 689.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.196
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.804
## ---------------------------------------
## Degrees of freedom: 690
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.196
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.804
## ---------------------------------------
## Degrees of freedom: 690.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.196
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.805
## ---------------------------------------
## Degrees of freedom: 691
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.195
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.805
## ---------------------------------------
## Degrees of freedom: 691.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.195
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.805
## ---------------------------------------
## Degrees of freedom: 692
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.195
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 692.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 693
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 693.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.806
## ---------------------------------------
## Degrees of freedom: 694
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.194
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 694.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 695
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 695.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.807
## ---------------------------------------
## Degrees of freedom: 696
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.193
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.808
## ---------------------------------------
## Degrees of freedom: 696.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.192
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.808
## ---------------------------------------
## Degrees of freedom: 697
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.192
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.808
## ---------------------------------------
## Degrees of freedom: 697.5
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.192
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 698
## Standardized standard error: 0.071
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 698.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 699
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.809
## ---------------------------------------
## Degrees of freedom: 699.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.191
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 700
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 700.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 701
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.81
## ---------------------------------------
## Degrees of freedom: 701.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.19
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.811
## ---------------------------------------
## Degrees of freedom: 702
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.189
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.811
## ---------------------------------------
## Degrees of freedom: 702.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.189
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.811
## ---------------------------------------
## Degrees of freedom: 703
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.189
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.812
## ---------------------------------------
## Degrees of freedom: 703.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.188
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.812
## ---------------------------------------
## Degrees of freedom: 704
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.188
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.812
## ---------------------------------------
## Degrees of freedom: 704.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.188
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.812
## ---------------------------------------
## Degrees of freedom: 705
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.188
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 705.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 706
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 706.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.813
## ---------------------------------------
## Degrees of freedom: 707
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.187
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.814
## ---------------------------------------
## Degrees of freedom: 707.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.186
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.814
## ---------------------------------------
## Degrees of freedom: 708
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.186
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.814
## ---------------------------------------
## Degrees of freedom: 708.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.186
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 709
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 709.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 710
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.815
## ---------------------------------------
## Degrees of freedom: 710.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.185
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 711
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 711.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 712
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.816
## ---------------------------------------
## Degrees of freedom: 712.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.184
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.817
## ---------------------------------------
## Degrees of freedom: 713
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.183
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.817
## ---------------------------------------
## Degrees of freedom: 713.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.183
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.817
## ---------------------------------------
## Degrees of freedom: 714
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.183
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.817
## ---------------------------------------
## Degrees of freedom: 714.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.183
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 715
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 715.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 716
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.818
## ---------------------------------------
## Degrees of freedom: 716.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.182
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.819
## ---------------------------------------
## Degrees of freedom: 717
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.181
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.819
## ---------------------------------------
## Degrees of freedom: 717.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.181
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.819
## ---------------------------------------
## Degrees of freedom: 718
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.181
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 718.5
## Standardized standard error: 0.07
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 719
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 719.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.82
## ---------------------------------------
## Degrees of freedom: 720
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.18
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 720.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 721
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 721.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.821
## ---------------------------------------
## Degrees of freedom: 722
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.179
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.822
## ---------------------------------------
## Degrees of freedom: 722.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.178
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.822
## ---------------------------------------
## Degrees of freedom: 723
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.178
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.822
## ---------------------------------------
## Degrees of freedom: 723.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.178
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.822
## ---------------------------------------
## Degrees of freedom: 724
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.178
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 724.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 725
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 725.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.823
## ---------------------------------------
## Degrees of freedom: 726
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.177
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 726.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 727
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 727.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.824
## ---------------------------------------
## Degrees of freedom: 728
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.176
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 728.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 729
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 729.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.825
## ---------------------------------------
## Degrees of freedom: 730
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.175
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 730.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 731
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 731.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.826
## ---------------------------------------
## Degrees of freedom: 732
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.174
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.827
## ---------------------------------------
## Degrees of freedom: 732.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.173
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.827
## ---------------------------------------
## Degrees of freedom: 733
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.173
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.827
## ---------------------------------------
## Degrees of freedom: 733.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.173
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.827
## ---------------------------------------
## Degrees of freedom: 734
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.173
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 734.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 735
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 735.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.828
## ---------------------------------------
## Degrees of freedom: 736
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.172
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 736.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 737
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 737.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.829
## ---------------------------------------
## Degrees of freedom: 738
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.171
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 738.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 739
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 739.5
## Standardized standard error: 0.069
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.83
## ---------------------------------------
## Degrees of freedom: 740
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.17
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 740.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 741
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 741.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.831
## ---------------------------------------
## Degrees of freedom: 742
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.169
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 742.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 743
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 743.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.832
## ---------------------------------------
## Degrees of freedom: 744
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.168
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 744.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 745
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 745.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.833
## ---------------------------------------
## Degrees of freedom: 746
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.167
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 746.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 747
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 747.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.834
## ---------------------------------------
## Degrees of freedom: 748
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.166
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 748.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 749
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 749.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.835
## ---------------------------------------
## Degrees of freedom: 750
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.165
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 750.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 751
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 751.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.836
## ---------------------------------------
## Degrees of freedom: 752
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.164
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 752.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 753
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 753.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 754
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.837
## ---------------------------------------
## Degrees of freedom: 754.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.163
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 755
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 755.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 756
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.838
## ---------------------------------------
## Degrees of freedom: 756.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.162
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 757
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 757.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 758
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.839
## ---------------------------------------
## Degrees of freedom: 758.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.161
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 759
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 759.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 760
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.84
## ---------------------------------------
## Degrees of freedom: 760.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.16
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 761
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 761.5
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 762
## Standardized standard error: 0.068
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.841
## ---------------------------------------
## Degrees of freedom: 762.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.159
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 763
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 763.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 764
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 764.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.842
## ---------------------------------------
## Degrees of freedom: 765
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.158
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 765.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 766
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 766.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.843
## ---------------------------------------
## Degrees of freedom: 767
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.157
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 767.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 768
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 768.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.844
## ---------------------------------------
## Degrees of freedom: 769
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.156
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 769.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 770
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 770.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 771
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.845
## ---------------------------------------
## Degrees of freedom: 771.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.155
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 772
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 772.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 773
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.846
## ---------------------------------------
## Degrees of freedom: 773.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.154
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 774
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 774.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 775
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 775.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.847
## ---------------------------------------
## Degrees of freedom: 776
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.153
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 776.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 777
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 777.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.848
## ---------------------------------------
## Degrees of freedom: 778
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.152
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 778.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 779
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 779.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 780
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.849
## ---------------------------------------
## Degrees of freedom: 780.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.151
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 781
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 781.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 782
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.85
## ---------------------------------------
## Degrees of freedom: 782.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.15
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 783
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 783.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 784
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 784.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.851
## ---------------------------------------
## Degrees of freedom: 785
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.149
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 785.5
## Standardized standard error: 0.067
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 786
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 786.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.852
## ---------------------------------------
## Degrees of freedom: 787
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.148
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 787.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 788
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 788.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 789
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.853
## ---------------------------------------
## Degrees of freedom: 789.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.147
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 790
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 790.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 791
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.854
## ---------------------------------------
## Degrees of freedom: 791.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.146
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.855
## ---------------------------------------
## Degrees of freedom: 792
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.145
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.855
## ---------------------------------------
## Degrees of freedom: 792.5
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.145
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
##
## RDDE for normal distribution
## based on population moments## ---------------------------------------
## Polynomial order = 2
## Interaction w/ treatment = TRUE
## Treat if score < cutoff = TRUE
## Cutoff = -0.285 | p = 0.388
## RDDE = 4.993
##
##
## Statistical power:
## ---------------------------------------
## 0.855
## ---------------------------------------
## Degrees of freedom: 793
## Standardized standard error: 0.066
## Type I error rate: 0.05
## Type II error rate: 0.145
## Two-tailed test: TRUE
## ---------------------------------------
## Regression discontinuity design
As seen from the MDES and power plots, a little less than 150 clusters are needed to obtain the benchmark power rate of 80% for the CRT, more than 350 cluster are needed for CRD with linear score variable interacting with the treatment, and more than 650 clusters are needed for CRD with quadratic score variable interacting with the treatment. Precise number of clusters can be found via placing the primary constraint on either the effect size or the power rate.