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Criminal Justice and Behavior
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An MCMI-III Discriminant Function Analysis of Incarcerated Felons

Prediction of Subsequent Institutional Misconduct

BRAD R. C. KELLN

University of Calgary

DAVID J. A. DOZOIS

University of Calgary

IAN E. McKENZIE

Drumheller Institution

Discriminant function analyses were employed to predict institutional misconduct in a sample of 128 incarcerated offenders. Misconduct was divided into two categories: reprimands and behavioral consequences (i.e., early lockups, segregation, monetary penalties, and suspensions). Results indicated that the MCMI-III provides greater predictive utility than does demographic information alone. In the prediction of reprimands, an overall correct classification rate of 79% was obtained using both demographic and MCMI-III data. A correct classification rate of 75% was found in the prediction of misconduct related to more behavioral ramifications. The clinical implications of these results and directions for future research are discussed.

Criminal Justice and Behavior, Vol. 25, No. 2, 177-189 (1998)
DOI: 10.1177/0093854898025002002
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