Differences in Empirical Results Using Principal Components and Factor Analysis:: A Reply to Wilkinson
In: Sociological methods and research, Band 17, Heft 4, S. 465-466
ISSN: 1552-8294
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In: Sociological methods and research, Band 17, Heft 4, S. 465-466
ISSN: 1552-8294
In: Sociological methods and research, Band 16, Heft 2, S. 301-308
ISSN: 1552-8294
In a recent edition of this journal, Borgatta et al. (1986), using hypothetical data, illustrated how the results produced by principal components analysis can be substantially different from those of common factor analysis. The present article, using seven well-known data sets, extends their work into the empirical domain, and also compares the results of the maximum likelihood factor analysis model with those of the principal components model. The results strongly support those of Borgatta et al. Indeed, the discrepancies in the empirical results reported here are often larger than their hypothetical example suggests. It was found that, when comparing the performance of the principal components model with the common factor and maximum likelihood models, differences can be expected to occur in (1) the magnitudes of the factor loadings, (2) the signs attached to the factor loadings, and, most important, (3) the interpretation of the factors themselves.
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 78, Heft 2, S. 150-161