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

The DOI matches its Crossref record.

Exploratory Factor Analysis

Fabrigar, Leandre R., Wegener, Duane T.·2011·Oxford University Press eBooks
DOI 10.1093/acprof:osobl/9780199734177.001.0001
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.1093/acprof:osobl/9780199734177.001.0001

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

Items 801–900 of 1,000

Related

See all

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review