Influence of Uninformative Prior Distributions for MCMC Method on Estimating Variance Components in Generalizability Theory

Guangming Li, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University

Applied Psychological Measurement

Published online on February 03, 2026

Abstract

Applied Psychological Measurement, Ahead of Print.
The Markov chain Monte Carlo (MCMC) method is more and more widely used to estimate variance components in generalizability theory (GT). However, as an essential part of MCMC method, uninformative priors haven’t been explored and different GT researches ...