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Chisquare as a rotation criterion in factor analysis

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  • Knüsel, Leo

Abstract

The rotation problem in factor analysis consists in finding an orthogonal transformation of the initial factor loadings so that the rotated loadings have a simple structure that can be easily interpreted. The most popular orthogonal transformations are the quartimax and varimax procedures with Kaiser normalization. A classical chisquare contingency measure is proposed as a rotation criterion. It is claimed that this is a very natural criterion, not only for rotations but also for oblique transformations, that is not to be found in our popular statistical packages up to now.

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  • Knüsel, Leo, 2008. "Chisquare as a rotation criterion in factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4243-4252, May.
    • Handle: RePEc:eee:csdana:v:52:y:2008:i:9:p:4243-4252
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