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Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis

Anna B. Costello; Jason W. Osborne · OpenAlex · 2020

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Author / responsible party
Anna B. Costello; Jason W. Osborne
Publisher
OpenAlex
Year
2020
Language
English

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Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about “best practices” in exploratory factor analysis. In particular, this paper provides practical information on making decisions regarding (a) extraction, (b) rotation, (c) the number of factors to interpret, and (d) sample size.

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APA 7

Costello, A. B. & Osborne, J. W. (2020). Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. https://doi.org/10.7275/jyj1-4868

MLA

Costello, Anna B, and Jason W. Osborne. "Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis." 2020. https://doi.org/10.7275/jyj1-4868.

Chicago

Costello, Anna B. and Jason W. Osborne. 2020. "Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis.". https://doi.org/10.7275/jyj1-4868.

Harvard

Costello, A. B. and Osborne, J. W. 2020, Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis, OpenAlex, available at: https://doi.org/10.7275/jyj1-4868 [Accessed 7 Aug. 2026].

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Title
Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis
Author / contributors
Anna B. Costello; Jason W. Osborne
Publisher
OpenAlex
Publication year
2020
Language
English

Subjects

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Exploratory factor analysis; Factor (programming language); Exploratory analysis; Computer science; Psychology; Statistics; Data science; Mathematics; Structural equation modeling; Programming language
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