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.
pretest_posttest_designer(
N = 100,
ate = 0.25,
sd_1 = 1,
sd_2 = 1,
rho = 0.5,
attrition_rate = 0.1,
args_to_fix = NULL
)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.
- args_to_fix
A character vector. Names of arguments to be args_to_fix in design.
Value
A pretest-posttest design.
Details
See vignette online.
Examples
# Generate a pre-test post-test design using default arguments:
pretest_posttest_design <- pretest_posttest_designer()