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EFA Within a CFA Context

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  • Phil Ender

    (UCLA Statistical Consulting Group)

Abstract

As the title implies, EFA within a CFA framework combines aspects of both EFA and CFA. It uses CFA to produce a factor solution that is close to an EFA solution while providing features typically found in CFA, such as, standard errors, statistical tests and modification indices. The presentation includes an example using the -sem- command introduced in Stata 12.

Suggested Citation

  • Phil Ender, 2012. "EFA Within a CFA Context," SAN12 Stata Conference 3, Stata Users Group.
    • Handle: RePEc:boc:scon12:3
    as

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    File URL: http://fmwww.bc.edu/repec/san2012/ender.san2012.pdf
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    References listed on IDEAS

    as
    1. K. Jöreskog, 1969. "A general approach to confirmatory maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 183-202, June.
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