The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Exploratory factor analysis in validation studies: Uses and recommendations
Open accessAbstract
BACKGROUND: The Exploratory Factor Analysis (EFA) procedure is one of the most commonly used in social and behavioral sciences. However, it is also one of the most criticized due to the poor management researchers usually display. The main goal is to examine the relationship between practices usually considered more appropriate and actual decisions made by researchers. METHOD: The use of exploratory factor analysis is examined in 117 papers published between 2011 and 2012 in 3 Spanish psychological journals with the highest impact within the previous five years. RESULTS: RESULTS show significant rates of questionable decisions in conducting EFA, based on unjustified or mistaken decisions regarding the method of extraction, retention, and rotation of factors. CONCLUSIONS: Overall, the current review provides support for some improvement guidelines regarding how to apply and report an EFA.
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Cites
Confirmatory factor analysis for applied research
(2007) · Choice Reviews Online · doi:10.5860/choice.44-2769 · Cited by 15,614
Evaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
A Rationale and Test for the Number of Factors in Factor Analysis
Horn, J. L. (1965) · Psychometrika · doi:10.1007/bf02289447 · Cited by 8,714
Sample size in factor analysis.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.1.84 · Cited by 5,497
Exploratory and confirmatory factor analysis: Understanding concepts and applications.
Thompson, B. (2004) · doi:10.1037/10694-000 · Cited by 3,469
Henson, R. K., & Roberts, J. K. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405282485 · Cited by 2,454
Determining the number of components from the matrix of partial correlations
Velicer, W. F. (1976) · Psychometrika · doi:10.1007/bf02293557 · Cited by 2,438
Nonnormaland Categorical Data in Structural Equation Modeling
Finney, S. J., & DiStefano, C. (2013) · Structural Equation Modeling · doi:10.1108/978-1-62396-246-320251015 · Cited by 1,855
THE APPLICATION OF EXPLORATORY FACTOR ANALYSIS IN APPLIED PSYCHOLOGY: A CRITICAL REVIEW AND ANALYSIS
FORD, J. K., MacCALLUM, R. C., & TAIT, M. (1986) · Personnel Psychology · doi:10.1111/j.1744-6570.1986.tb00583.x · Cited by 1,732
Minimum Sample Size Recommendations for Conducting Factor Analyses
Mundfrom, D. J., Shaw, D. G., & Ke, T. L. (2005) · International Journal of Testing · doi:10.1207/s15327574ijt0502_4 · Cited by 1,704
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Un viaje alrededor de alfa y omega para estimar la fiabilidad de consistencia interna
Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017) · Anales de Psicología · doi:10.6018/analesps.33.3.268401 · Cited by 699
Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., Thiyagarajan, J. A., & Martinez-Molina, A. (2020) · Psychological Methods · doi:10.1037/met0000255 · Cited by 532
Teachers' AI-TPACK: exploring the relationship between knowledge elements
Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024) · Sustainability · doi:10.3390/su16030978 · Cited by 330
García-Martín, J., & García-Sánchez, J.-N. (2020) · Revista de Psicodidáctica (English ed.) · doi:10.1016/j.psicoe.2019.08.001 · Cited by 25
Metadata
- Authors
- Izquierdo, I., Olea, J., & Abad, F.
- Venue
- Psicothema
- Publisher
- Grupo Editorial Psicofundación
- Published
- 2014-08-01
- Volume
- 3
- Issue
- 26
- Pages
- 395-400
- ISSN
- 0214-9915 (ISSN-L)
- 1886-144X
- OpenAlex
- W2140993546
- Cited by
- 490
- References
- 22
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- gold
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