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

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 practic...

Full description

Saved in:
Bibliographic Details
Published inPractical assessment, research & evaluation Vol. 10; p. 7
Main Authors Costello, Anna B, Osborne, Jason
Format Journal Article
LanguageEnglish
Published College Park Practical Assessment, Research and Evaluation, Inc 01.01.2005
Subjects
Discriminant analysis
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1531-7714