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Cited by 1,408Psychometric Methodologies and TestingStatistical Methods and ApplicationsMental Health Research Topics

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Exploratory Factor Analysis

Fabrigar, Leandre R., Wegener, Duane T.·2011·Oxford University Press eBooks
DOI 10.1093/acprof:osobl/9780199734177.001.0001
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Abstract

Exploratory factor analysis (EFA) has played a major role in research conducted in the social sciences for more than 100 years, dating back to the pioneering work of Charles Spearman on mental abilities. Since that time, EFA has become one of the most commonly used quantitative methods in many of the social sciences, including psychology, business, sociology, education, political science, and communications. To a lesser extent, it has also been utilized within the physical and biological sciences. Despite its long and widespread usage in many domains, numerous aspects of the underlying theory and application of EFA are poorly understood by researchers. Indeed, perhaps no widely used quantitative method requires more decisions on the part of a researcher and offers as wide an array of procedural options as EFA does. This book provides a non-mathematical introduction to the underlying theory of EFA and reviews the key decisions that must be made in its implementation. Among the issues discussed are the use of EFA versus confirmatory factor analysis, the use of principal component analysis versus common factor analysis, procedures for determining the appropriate number of factors, and methods for rotating factor solutions. Explanations and illustrations of the application of different factor analytic procedures are provided for analyses using common statistical packages, as well as a free package available on the web. In addition, practical instructions are provided for conducting a number of useful factor analytic procedures not included in the statistical packages.

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Metadata

Authors
Fabrigar, L. R., & Wegener, D. T.
Affiliations
  • Queen's University (CA)
  • The Ohio State University (US)
ORCID
Wegener, Duane T.
Venue
Oxford University Press eBooks
Publisher
Oxford University Press
Published
2011-12-22
DOI
10.1093/acprof:osobl/9780199734177.001.0001
OpenAlex
W62989984
Cited by
1,408
References
0
Citations by year
2026: 95 · 2025: 149 · 2024: 121 · 2023: 105 · 2022: 108 · 2021: 118 · 2020: 102 · 2019: 98 · 2018: 84 · 2017: 72 · 2016: 50 · 2015: 76 · 2014: 76 · 2013: 65 · 2012: 32
FWCI
21.33
Type
book
Language
es
Open access
closed
Locations
Oxford University Press eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
exploratory factor analysis, factor rotation, number of factors, principal component analysis, common factor analysis, confirmatory factor analysis, social sciences

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