12 Factor Analysis and Related Methods

Carol M. Woods; Michael C. Edwards

doi:10.1016/S0169-7161(07)27012-9

12 Factor Analysis and Related Methods

Carol M. Woods, Michael C. Edwards

Research output: Chapter in Book/Report/Conference proceeding › Chapter

23 Scopus citations

Abstract

This chapter introduces exploratory and confirmatory factor analysis (EFA and CFA) with brief mention of the closely related procedures principle components analysis and multidimensional item response theory. For EFA, emphasis is on rotation, the principle factors criterion, and methods for selecting the number of factors. CFA topics include identification, estimation of model parameters, and evaluation of model fit. EFA and CFA are introduced for continuous variables, and then extensions are described for non-normal continuous variables, and categorical variables. Study characteristics that influence sample size (for EFA or CFA) are discussed, and example analyses are provided which illustrate the use of three popular software programs.

Original language	English (US)
Title of host publication	Epidemiology and Medical Statistics
Editors	C.R. Rao, J.P. Miller, D.C. Rao
Pages	367-394
Number of pages	28
DOIs	https://doi.org/10.1016/S0169-7161(07)27012-9
State	Published - 2007
Externally published	Yes

Publication series

Name	Handbook of Statistics
Volume	27
ISSN (Print)	0169-7161

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation
Applied Mathematics

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10.1016/S0169-7161(07)27012-9

Cite this

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AB - This chapter introduces exploratory and confirmatory factor analysis (EFA and CFA) with brief mention of the closely related procedures principle components analysis and multidimensional item response theory. For EFA, emphasis is on rotation, the principle factors criterion, and methods for selecting the number of factors. CFA topics include identification, estimation of model parameters, and evaluation of model fit. EFA and CFA are introduced for continuous variables, and then extensions are described for non-normal continuous variables, and categorical variables. Study characteristics that influence sample size (for EFA or CFA) are discussed, and example analyses are provided which illustrate the use of three popular software programs.

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ER -

12 Factor Analysis and Related Methods

Abstract

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ASJC Scopus subject areas

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