Examining the Factor Structure of Personality with Bayesian SEM

Abstract

We investigate the factor structure of personality traits under the Big Five model, specifically the Conscientiousness trait, using Bayesian structural equational modeling across multiple model structures (correlated-traits, bifactor, higher-order) and found evidence that B-SEM with informative priors performed better than non-B-SEM models and that bifactor structures best fit the data.

Date
Apr 18, 2024 — Apr 20, 2024
Location
2024 MPA Conference (Chicago, IL, USA)
Alfonso J. Martinez
Alfonso J. Martinez
Assistant Professor of Psychometrics and Quantitative Psychology

My research interests include generalized latent variable modeling, Bayesian analysis, and computational statistics.