Discriminant Analysis with Categorical Data

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Abstract
A method for studying relationships among groups in terms of categorical data patterns is de scribed. The procedure yields a dimensional rep resentation of configural relationships among mul tiple groups and a quantitative scaling of cate gorical data patterns for use in subsequent assign ment of new individuals to the groups. Two ex amples are used to illustrate potential of the method. In the first, profile data that were pre viously analyzed by metric multiple discriminant function analysis are reanalyzed by the nonmetric categorical data pattern technique with highly similar results. The second example examines re lationships among psychiatric syndrome groups in terms of similarities in patterns of categorical background variables. Results appear consistent with other available information concerning the epidemiology of psychiatric disorders.

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