The differential predictive validity of the Youth Level of Service/Case Management Inventory: the role of gender |
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| Authors: | Valerie R. Anderson William S. Davidson II Ashlee R. Barnes Christina A. Campbell Jodi L. Petersen Eyitayo Onifade |
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| Affiliation: | 1. Indiana University School of Medicine, Indianapolis, IN, USA;2. School of Criminal Justice, University of Cincinnati, Cincinnati, OH, USA;3. Department of Psychology, Michigan State University, East Lansing, MI, USA;4. School of Criminal Justice, University of Cincinnati, Cincinnati, OH, USA;5. Community Research Institute, Grand Valley State University, Grand Rapids, MI, USA;6. School of Social Work, Florida State University, Tallahassee, FL, USA |
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| Abstract: | Most criminogenic risk assessments are developed and empirically validated on samples of boys or samples comprised of mostly boys, and subsequently applied to girls. Using a sample of male (n = 1,267) and female (n = 453) probationers, the purpose of the current study was to examine the potentially differential performance of the Youth Level of Service/Case Management Inventory (YLS/CMI) and the instrument’s eight domains for female juvenile offenders. Findings revealed gender differences in the predictive validity of the YLS/CMI in which girls scored significantly higher on the risk assessment, but recidivated at significantly lower rates than boys two years following the administration of the assessment. The predictive validity of the instrument was impacted by these gender differences in which the YLS/CMI total score was a better predictor of recidivism for boys (area under the curve (AUC) = .623) than girls (AUC = .565). The only subscales that significantly predicted recidivism for girls were the family (AUC = .607) and personality (AUC = .572) domains, whereas all of the subscales significantly predicted recidivism for boys. Directions for future research as well as gender-responsive assessment, programming, and policy implications are discussed. |
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| Keywords: | Delinquency juvenile offenders recidivism prediction risk assessment gender differences |
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