Bayesian Hierarchical Moderated Factor Analysis for Testing Measurement Invariance in Multilevel Data: Model Development, Simulation Studies, and Experience Sampling Application
Abstract Moderated Nonlinear Latent Factor Analysis (MNLFA) has been introduced as a flexible approach for testing measurement invariance among categorical and continuous covariates. Equipped with Bayesian shrinkage priors, MNLFA can handle large numbers of covariates and potentially invariant item parameters. The pres...