publication . Preprint . 2012

EFA Within a CFA Context

Phil Ender;
Open Access
  • Published: 01 Aug 2012
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.
Subjects
Medical Subject Headings: food and beveragescomplex mixtures

------------------------------------------------- Variable | Factor1 Factor2 | Uniqueness -------------+--------------------+-------------- y1 | 0.6794 0.0117 | 0.5387 y2 | 0.7657 -0.0228 | 0.4124 y3 | 0.6972 0.0084 | 0.5141 y4 | -0.0073 0.6095 | 0.6282 y5 | -0.0281 0.7025 | 0.5048 y6 | 0.0313 0.6086 | 0.6295 ------------------------------------------------- Adams, H. (1988) The academic tribes. Urbana and Chicago: University of Illinois Press.

Brown, T.A. (2006) Con rmatory factor analysis for applied research. New York: Guilford Press.

Joreskog, K.G. (1969). A general approach to con rmatory maximum likelihood factor analysis. Psychometrika, 34, 183-202.

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