The present report describes a procedure of setting up category systems in which the classes are defined by a group of Ss, rather than by E. The procedure has the advantage over intuitively derived systems, of supplying a measure of the reliability of category definition. Essentially, the procedure consists of separating descriptions of interpersonal behavior according to similarity of meaning by a modification of an associative overlap measure and classifying the overlap measures into categories by a clustering technique.
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