A COMPARISON OF MULTIVARIATE GROUPING TECHNIQUES COMMONLY USED WITH PROFILE DATA

Abstract
A number of multivariate procedures have been used to group subjects from profile data. Three of the more widely used techniques are (1) factor analysis with oblique or orthogonal rotation; (2) distance measures followed by hierarchical grouping; and (3) correlational cluster analysis.

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