Simulated experiment encountering attrition
attrition_experiment.RdNineteen of the 200 subjects have a missing outcome, and missingness is
related to the potential outcomes, so dropping those subjects conditions the
analysis on a post-treatment variable. Use with impute_extreme_values(),
which imputes the best and worst cases the observed data admit. The outcome
is a seven-point Likert item, so its logical range is 1 to 7 even though no
subject in this sample answered 1.
Format
attrition_experiment
A tibble with 200 rows and 10 columns:
- ID
Subject identifier
- U
Unobserved subject-level shock
- Y_Z_0, Y_Z_1
Likert potential outcomes under control and treatment
- R_Z_0, R_Z_1
Potential response indicators, 1 if the subject would report an outcome
- Z
Random assignment, 1 for treatment and 0 for control
- Z_cond_prob
Probability of the assigned condition, 0.5 throughout
- R
Revealed response indicator, 1 when
Yis observed- Y
Revealed outcome,
NAfor the 19 subjects who did not report