A simulated dataset from a linear mixed-effects model (LMM) representing a standard two-group (CBT vs. Antienvyssant) pre-post intervention study. The data is ideal for demonstrating the analysis of longitudinal data with repeated measures.
Format
A tibble with 150 rows and 6 variables:
- id
An integer representing the unique participant identifier.
- group
A character vector indicating the treatment group (
"CBT"or"Antienvyssant").- age
An integer representing the participant's age.
- gender
A character vector for the participant's gender (
"m","f", or"d").- time
An integer for the measurement occasion (
0= pre-test,1= post-test).- gei_score
A numeric value for the outcome, the score on the fictional Gardener Envy Inventory (GEI), ranging from 0 to 50.
Source
Simulated data based on a linear mixed-effects model (LMM) with fixed effects for group and time, and random intercepts and slopes for participants.
See also
garden_club_sensitive for a dataset designed for sensitivity analysis.