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dc.contributor.creatorPerry, John
dc.contributor.creatorNicholls, Adam R.
dc.contributor.creatorClough, Peter J.
dc.contributor.creatorCrust, Lee
dc.date.accessioned2018-10-30T14:59:08Z
dc.date.available2018-10-30T14:59:08Z
dc.date.issued2015
dc.identifier.citationPerry, J. L., Nicholls, A. R., Clough, P. J., & Crust, L. (2015). Assessing model fit: Caveats and recommendations for confirmatory factor analysis and exploratory structural equation modeling. Measurement in Physical Education and Exercise Science, 19,12-21.en_US
dc.identifier.urihttp://hdl.handle.net/10395/2324
dc.descriptionAssessing model fit: Caveats and recommendations for confirmatory factor analysis and exploratory structural equation modelingen_US
dc.description.abstractConfirmatory factor analysis (CFA) is commonly used to assess measurement models in sport and exercise psychology. Frequently used as a yardstick for their adequacy, are specific cutoff values proposed by Hu and Bentler (1999). The purpose of this study was to investigate whether using the CFA approach with these cutoff values for typical multidimensional measures is appropriate. Further, we sought to examine how a model could be respecified to achieve acceptable fit, and demonstrate how exploratory structural equation modeling (ESEM) provides a more appropriate assessment of model fit. We conducted CFAs and ESEMs on eight commonly used measures in sport and exercise psychology. Despite demonstrating good validity previously, all eight failed to meet the cutoff values proposed by Hu and Bentler. ESEM improved model fit in all multidimensional measures. In conclusion, we propose that researchers abstain from using cutoff values, prefer ESEM to CFA, and generally take a more subjective view towards factorial validity.en_US
dc.language.isoengen_US
dc.publisherRoutledgeen_US
dc.relation.ispartofseries19;1
dc.rights.urihttps://www.tandfonline.com/doi/pdf/10.1080/1091367X.2014.952370?needAccess=trueen_US
dc.subjectConfirmatory factor analysisen_US
dc.subjectExploratory structural equation modelingen_US
dc.subjectModification indicesen_US
dc.titleAssessing model fit: Caveats and recommendations for confirmatory factor analysis and exploratory structural equation modelingen_US
dc.typeArticleen_US
dc.type.supercollectionall_mic_researchen_US
dc.type.supercollectionmic_published_revieweden_US
dc.description.versionYesen_US
dc.identifier.doi10.1080/1091367X.2014.952370


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