Abstract
In this study, the possibility that clusters of variables rather than single measures enhanced differentiation between subgroups of offenders was considered. Discriminant analyses were computed to determine which 23 measures from the Minnesota Multiphasic Personality Inventory-Revised, Weschler Adult Intelligence Scale-Revised, Edwards Personal Preference Schedule, and a social history questionnaire differentiated 18 dangerous, 17 non-dangerous offenders, and 30 non-offenders. Analysis showed some significant clusters separated dangerous and non-dangerous offenders. Conclusions and limitations are discussed within the context of criminality.
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