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Viability of exploratory factor analysis as a precursor to confirmatory factor analysis
Open accessAbstract
As part of the development of a comprehensive strategy for structural equation model building and assessment, a Monte Carlo study evaluated the effectiveness of different exploratory factor analysis extraction and rotation methods for correctly identifying the known population multiple‐indicator measurement model. The exploratory methods fared well in recovering the model except in small sample sizes with highly correlated factors, and even in those situations most of the indicators were correctly assigned to the factors. Surprisingly, the orthogonal varimax rotation did as well as the more sophisticated oblique rotations in recovering the model, and generally yielded more accurate estimates. These results demonstrate that exploratory factor analysis can contribute to a useful heuristic strategy for model specification prior to cross‐validation with confirmatory factor analysis.
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Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Self-citationPROMAX: A QUICK METHOD FOR ROTATION TO OBLIQUE SIMPLE STRUCTURE
Hendrickson, A. E., & White, P. O. (1964) · British Journal of Statistical Psychology · doi:10.1111/j.2044-8317.1964.tb00244.x · Cited by 1,009
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Worthington, R. L., & Whittaker, T. A. (2006) · The Counseling Psychologist · doi:10.1177/0011000006288127 · Cited by 4,087
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Metadata
- Authors
- Gerbing, D. W., & Hamilton, J. G.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 1996-01
- Volume
- 3
- Issue
- 1
- Pages
- 62-72
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W1996202664
- Cited by
- 732
- References
- 2
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- green
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- Gerbing, D. W., & Hamilton, J. G. (1996). Viability of exploratory factor analysis as a precursor to confirmatory factor analysis. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705519609540030
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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