Advances in Bayesian Model Fit Evaluation for Structural Equation Models. Issue 1 (2nd January 2021)

• Record Type: Journal Article
• Authors: Asparouhov, Tihomir; Muthén, Bengt
• Is Part Of: Structural equation modeling. Volume 28:Issue 1(2021)
• Page Start: 1
• Page End: 14
• Publication Date: 2021-01-02
• Subjects: Bayesian fit indices -- Bayesian Wald test -- BSEM -- PPP with missing data; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2020.1764360
• Languages: English
• ISSNs: 1070-5511

Abstract

ABSTRACT: In this article, we discuss the Posterior Predictive P -value (PPP) method in the presence of missing data, the Bayesian adaptation of the approximate fit indices RMSEA, CFI and TLI, as well as the Bayesian adaptation of the Wald test for nested models. Simulation studies are presented. We also illustrate how these new methods can be used to build BSEM models.