@article{ref1,
title="An MCMI-III discriminant function analysis of incarcerated felons prediction of subsequent institutional misconduct",
journal="Criminal justice and behavior",
year="1998",
author="McKENZIE, Ian E. and Dozois, David J. A. and Kelln, Brad R. C.",
volume="25",
number="2",
pages="177-189",
abstract="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). <br><br>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.<p /><p>Language: en</p>",
language="en",
issn="0093-8548",
doi="10.1177/0093854898025002002",
url="http://dx.doi.org/10.1177/0093854898025002002"
}