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)

Arguments

N An integer. Size of sample. A number. Average treatment effect. Nonnegative number. Standard deviation of period 1 shocks. Nonnegative number. Standard deviation of period 2 shocks. A number in [-1,1]. Correlation in outcomes between pre- and post-test. A number in [0,1]. Proportion of respondents in pre-test data that appear in post-test data.

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()

Author

DeclareDesign Team