pretest_posttest_designer: Create a pretest-posttest design

In DesignLibrary: Library of Research Designs

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,
  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.

Details

See vignette online.

Value

A pretest-posttest design.

Author(s)

DeclareDesign Team

Examples

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

DesignLibrary documentation built on Oct. 18, 2021, 5:07 p.m.