The fundamental mathematical model of Thurstone’s
common factor analysis is reviewed. The basic
covariance matrices of maximum likelihood factor
analysis (MLFA) and alpha factor analysis (AFA) are
presented. Putting aside the principles on which they
are based, these two methods are compared in terms
of a number of computational and scaling contrasts
following from the application of their respective developments.
The paper concludes with a discussion of
the number-of-factors problem, the weighting problem
in MLFA and AFA, and possible bases for a choice between
the two. Index terms: alpha factor analysis,
common factor analysis, maximum likelihood factor
analysis, number of common factors, scaling and
weighting in common factor analysis.
Kaiser, Henry F & Derflinger, Gerhard. (1990). Some contrasts between maximum likelihood factor analysis and alpha factor analysis. Applied Psychological Measurement, 14, 29-32. doi:10.1177/014662169001400103
Kaiser, Henry F.; Derflinger, Gerhard.
Some contrasts between maximum likelihood factor analysis and alpha factor analysis.
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