Bayesian data-model fit assessment for structural equation modeling

Research output: Contribution to journalArticlepeer-review

58 Scopus citations


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
Issue number4
StatePublished - 2011


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

ASJC Scopus subject areas

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


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