28 Citations (Scopus)

Abstract

Bayesian approaches to modeling are receiving an increasing amount of attention in the areas of model construction and estimation in factor analysis, structural equation modeling (SEM), and related latent variable models. However, model diagnostics and model criticism remain relatively understudied aspects of Bayesian SEM. This article describes and illustrates key features of Bayesian approaches to model diagnostics and assessing data-model fit of structural equation models, discussing their merits relative to traditional procedures.

Original languageEnglish (US)
Pages (from-to)663-685
Number of pages23
JournalStructural Equation Modeling
Volume18
Issue number4
DOIs
StatePublished - 2011

Fingerprint

Model Diagnostics
Structural Equation Modeling
Bayesian Model
Bayesian Approach
Data Model
Data structures
Latent Variable Models
Structural Equation Model
Factor Analysis
diagnostic
Modeling
Model
structural model
Factor analysis
factor analysis
criticism
Structural equation modeling
Diagnostics
Bayesian approach

Keywords

  • Bayesian model checking
  • Data-model fit
  • Structural equation modeling

ASJC Scopus subject areas

  • Modeling and Simulation
  • Decision Sciences(all)
  • Economics, Econometrics and Finance(all)
  • Sociology and Political Science

Cite this

Bayesian data-model fit assessment for structural equation modeling. / Levy, Roy.

In: Structural Equation Modeling, Vol. 18, No. 4, 2011, p. 663-685.

Research output: Contribution to journalArticle

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