12 Factor Analysis and Related Methods

Carol M. Woods, Michael C. Edwards

Research output: Chapter in Book/Report/Conference proceedingChapter

8 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 languageEnglish (US)
Title of host publicationEpidemiology and Medical Statistics
EditorsC.R. Rao, J.P. Miller, D.C. Rao
Pages367-394
Number of pages28
DOIs
StatePublished - Dec 1 2007
Externally publishedYes

Publication series

NameHandbook of Statistics
Volume27
ISSN (Print)0169-7161

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Applied Mathematics

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