calc_SE {PUMP} | R Documentation |
Computes Q_m, the standard error of the effect size estimate
Description
Function to calculate the theoretical true (unadjusted) standard error of the ATE estimate for a given d_m and model, in effect size units.
Usage
calc_SE(
d_m,
J,
K,
nbar,
Tbar,
R2.1,
R2.2,
R2.3,
ICC.2,
ICC.3,
omega.2,
omega.3
)
Arguments
d_m |
a single RCT d_m (see list/naming convention). |
J |
scalar; the number of schools |
K |
scalar; the number of districts |
nbar |
scalar; the harmonic mean of the number of units per school |
Tbar |
scalar; the proportion of samples that are assigned to the treatment |
R2.1 |
scalar, or vector of length M; percent of variation explained by Level 1 covariates for each outcome |
R2.2 |
scalar, or vector of length M; percent of variation explained by Level 2 covariates for each outcome |
R2.3 |
scalar, or vector of length M; percent of variation explained by Level 3 covariates for each outcome |
ICC.2 |
scalar, or vector of length M; school intraclass correlation |
ICC.3 |
scalar, or vector of length M; district intraclass correlation |
omega.2 |
scalar, or vector of length M; ratio of school effect size variability to random effects variability |
omega.3 |
scalar, or vector of length M; ratio of district effect size variability to random effects variability |
Value
vector; the standard error of the effect size estimate