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...
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| Published in | Practical assessment, research & evaluation Vol. 10; p. 7 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
College Park
Practical Assessment, Research and Evaluation, Inc
01.01.2005
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1531-7714 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Costello, Anna B Osborne, Jason |
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| SubjectTerms | Best Practices Computer Software Data Analysis Discriminant analysis Educational Objectives Electronic Journals Factor Analysis Factor Structure Goodness of Fit Least Squares Statistics Maximum Likelihood Statistics Measurement Techniques Periodicals Principals Reference Materials Researchers Sample Size Statistical Data Textbooks |
| Title | Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis |
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