The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Assessing Model Fit: Caveats and Recommendations for Confirmatory Factor Analysis and Exploratory Structural Equation Modeling
Open accessAbstract
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these cutoff values for typical multidimensional measures. Furthermore, we ought to examine how a model could be respecified to achieve acceptable fit and explored whether exploratory structural equation modeling (ESEM) provides a more appropriate assessment of model fit. Six multidimensional measures commonly used in sport and exercise psychology research were examined using CFA and ESEM. Despite demonstrating good validity in previous research, all eight failed to meet the cutoff values proposed by Hu and Bentler. ESEM improved model fit in all measures. In conclusion, we suggest that model misfit in this study demonstrates the problem with interpreting cutoff values rigidly. Furthermore, we recommend ESEM as a preferred approach to examining model fit in multidimensional measures.
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037//0033-2909.88.3.588 · Cited by 19,023
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Hu, L.-T., & Bentler, P. M. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.424 · Cited by 12,298
Power analysis and determination of sample size for covariance structure modeling.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.2.130 · Cited by 10,418
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1103_2 · Cited by 6,691
(2005) · Cited by 6,097
Campbell‐Sills, L., & Stein, M. B. (2007) · Journal of Traumatic Stress · doi:10.1002/jts.20271 · Cited by 3,575
Exploratory Structural Equation Modeling
Asparouhov, T., & Muthén, B. (2009) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510903008204 · Cited by 2,665
A General Approach to Confirmatory Maximum Likelihood Factor Analysis
Jöreskog, K. G. (1969) · Psychometrika · doi:10.1007/bf02289343 · Cited by 2,489
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Swami, V., & Barron, D. (2019) · Body Image · doi:10.1016/j.bodyim.2018.08.014 · Cited by 454
Developmental trajectories of executive functions from preschool to kindergarten
Reilly, S. E., Downer, J. T., & Grimm, K. J. (2022) · Developmental Science · doi:10.1111/desc.13236 · Cited by 53
Hornstra, L., Mathijssen, A. C. S., Denissen, J. J. A., & Bakx, A. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102345 · Cited by 25
Metadata
- Authors
- Perry, J. L., Nicholls, A. R., Clough, P. J., & Crust, L.
- Venue
- Measurement in Physical Education and Exercise Science
- Publisher
- Informa UK Limited
- Published
- 2015-01-02
- Volume
- 19
- Issue
- 1
- Pages
- 12-21
- ISSN
- 1091-367X (ISSN-L)
- 1532-7841
- OpenAlex
- W2011057514
- Cited by
- 317
- References
- 33
- FWCI
- 21.61
- Type
- journal article
- Language
- en
- Open access
- green
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- Perry, 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. https://doi.org/10.1080/1091367x.2014.952370
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