Abstract: Missing data are problematic for many statistical analyses, factor analysis included. Because factor analysis is widely used by applied social scienti
A new Bayesian procedure for factor analysis is developed in which factor scores as well as factor loadings and error variances are treated as parameters of int
This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and lat
This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters
A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across