Investigating a New Derivation for Estimating Bayesian Coefficient Alpha

This study proposes a new derivation for estimating Bayesian coefficient alpha. This new derivation will be evaluated using a Monte Carlo simulation that investigates the performance of three types of credible intervals based on number of items, correlation type, number of item response categories, distribution types, and sample size.