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ERIC Number: EJ949232
Record Type: Journal
Publication Date: 2011
Pages: 23
Abstractor: As Provided
Reference Count: 57
ISBN: N/A
ISSN: ISSN-1070-5511
Bayesian Data-Model Fit Assessment for Structural Equation Modeling
Levy, Roy
Structural Equation Modeling: A Multidisciplinary Journal, v18 n4 p663-685 2011
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. (Contains 5 figures, 3 tables and 1 footnote.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A