Reversal learning reliability behavioural dataset

This repository contains re-test data for a reversal learning task completed by 150 participants, and associated scripts for the analysis of the reliability of behavioural and computational model parameters.

Participants completed 150 trials of the reversal learning task where they were presented with two visually distinguishable abstract stimuli and had to learn through experience which of these two choices were "better". Throughout the task the "better" choice would change, such that the "better" stimulus became the "worse" stimulus and vice versa.

This repository also includes the scripts needed to replicate our analysis presented in the associated publication (Williams, B., FitzGibbon, L., Brady, D., & Christakou, A. (2025). Sample size matters when estimating test-retest reliability of behaviour. Behavior Research Methods), including the calculation of reliability metrics, our effects of sample size on variance component simulation, generating plots, and statistical analysis.