pretest_posttest_designer: Create a pretest-posttest design
Description
Produces a design in which an outcome Y is observed pre- and post-treatment.
The design allows for individual post-treatment outcomes to be correlated with pre-treatment outcomes
and for at-random missingness in the observation of post-treatment outcomes.
Usage
pretest_posttest_designer(N = 100, ate = 0.25, sd_1 = 1, sd_2 = 1,
rho = 0.5, attrition_rate = 0.1)
Arguments
N
An integer. Size of sample.
ate
A number. Average treatment effect.
sd_1
Nonnegative number. Standard deviation of period 1 shocks.
sd_2
Nonnegative number. Standard deviation of period 2 shocks.
rho
A number in [-1,1]. Correlation in outcomes between pre- and post-test.
attrition_rate
A number in [0,1]. Proportion of respondents in pre-test data that appear in post-test data.
Value
A pretest-posttest design.
Examples
Run this code# NOT RUN {
# Generate a pre-test post-test design using default arguments:
pretest_posttest_design <- pretest_posttest_designer()
# }
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