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.

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.

Details

See vignette online.

Examples

# Generate a pre-test post-test design using default arguments: pretest_posttest_design <- pretest_posttest_designer()

Author

DeclareDesign Team