Justice systems depend on risk assessment instruments to identify juveniles who have the greatest likelihood to re-offend. This study was an attempt to validate the Youth Level of Service/Case Management Inventory as a predictor of re-offense for young offenders between the ages of 10 and 16. Although 26% of youth in the sample (n = 328) re-offended, there were significant differences in offense rates among juveniles classified as high risk, moderate risk, and low risk. The YLS/CMI also had a high correct classification rate, which was reflected in an AUC of .62. Finally, youth of different risk levels also showed differences in time to re-offense rates. Results indicate further study of the YLS/CMI's validity with girls and minorities is necessary. Furthermore, risk prediction could be improved by inclusion of ecological predictive variables related to delinquency.
Achenbach, T.M. (2001). Manual for the Child Behavior Checklist. Burlington: University of Vermont, Department of Psychiatry .
2.
Andrews, D., Kiessling, J., Robinson, D., & Mickus, S. (1986). The risk principle of case classification: An outcome evaluation with young adult probationers. Canadian Journal of Criminology, 28, 377-384.
3.
Bonta, J. (1996). Risk-needs assessment and treatment. In A. T. Harland (Ed.), Choosing correctional options that work: Defining the demand and evaluating the supply (pp. 18-32). Thousand Oaks, CA: SAGE Publications.
4.
Burgess, E.W. (1928). Factors determining success or failure on parole . In A. A. Bruce (Ed.), The workings of the indeterminant sentence law and the parole system in Illinois (pp. 205-249). Springfield: Illinois Committee on Indeterminate Sentence Law and Parole.
5.
Catchpole, R.E., & Gretton, H.M. (2003). The predictive validity of risk assessment with violent young offenders: A 1-year examination of criminal outcome. Criminal Justice and Behavior, 30, 688-708.
6.
Correctional Association of New York, Juvenile Justice Project. (2002, March). Rethinking juvenile justice detention in New York City. Retrieved May, 15, 2006, from http://www.soros.org/initiatives/justice/articles_publications/publications/juvenile_detention_20020301/JJReport.pdf
7.
Cottle, C.C., Lee, R.J., & Heilbrun, K. (2001). The prediction of criminal recidivism in juveniles . Criminal Justice and Behavior, 28, 367-394.
8.
Elliot, D., Huizinga, D., & Ageton, S. (1985). Explaining delinquency and drug use. Beverly Hills, CA: SAGE Publications.
9.
Erford, B.T. (1998). Technical analysis of father responses to the Disruptive Behavior Rating Scale-Parent Version (DBRS-P). Measurement and Evaluation in Counseling and Development, 30, 199-210.
10.
Flores, A.W., Travis, L.F., & Latessa, E.J. (2003). Case classification for juvenile corrections: An assessment of the Youth Level of Service/Case Management Inventory. Cincinnati, OH: Division of Criminal Justice.
Grove, W., & Meehl, P.E. (1996). Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical algorithmic) prediction procedures: The Clinical-Statistical Controversy. Psychology, Public Policy, & Law, 2, 293-323.
13.
Hare, R.D. (2003). The Hare Psychopathy Checklist-Revised manual (2nd ed.). Toronto, Canada: Multi-Health Systems.
14.
Hodges, K., & Kim, C. (2000). Psychometric study of the Child and Adolescent Functional Assessment Scale: Prediction of contact with the law and poor school attendance. Journal of Abnormal Child Psychology, 28, 287-297.
15.
Hoge, R.D., Andrews, D.A., & Leschied, A. (2002). Youth Level of Service/Case Management Inventory: YLS/CMI manual. Toronto, Canada: Multi-Health Systems.
16.
Jung, S., & Rawana, E.P. (1999). Risk and need assessment of juvenile offenders . Criminal Justice and Behavior, 26, 69-89.
17.
McKinnon, L.J. (2004). Predicting risk of violence in a young offender population: The predictive validity of the PCL:YV and the YLS/CMI. Unpublished dissertation, Lakehead University, Thunder Bay, Ontario, Canada.
18.
Onifade, E., Livsey, S., Davidson, W., Turke, G., Horton, C., Malinowski, J., et al. (in press). Risk assessment: Identifying patterns of risk in young offenders with the YLS/CMI. Journal of Criminal Justice .
19.
Patterson, G.R., Debaryshe, B.D., & Ramsey, E. (1989). A developmental perspective on antisocial behavior . American Psychologist, 44, 329-335.
20.
Quist, R.M., & Matshazi, D.G. (2000). The Child and Adolescent Functional Assessment Scale (CAFAS): A dynamic predictor of juvenile recidivism . Adolescence, 35, 181-192.
21.
Rice, M.E., & Harris, G.T. (1995). Violent recidivism: Assessing predictive validity . Journal of Consulting and Clinical Psychology, 63, 737-748.
22.
Rowe, R. (2002). Predictors of criminal offending: Evaluating measures of risk/needs, psychopathy, and disruptive behavior disorders. Unpublished doctoral dissertation, Carleton University, Ottawa, Ontario, Canada.
23.
Schmidt, F., Hoge, R.D., & Gomes, L. (2005). Reliability and validity analysis of the Youth Level of Service/Case Management Inventory. Criminal Justice and Behavior, 32, 329-344.
24.
Schmidt, F., Hoge, R.D., & Robertson, L. (2002, May). Assessing risk and need in youthful offenders . Paper presented at the annual conference of the Canadian Psychological Association, Vancouver, British Columbia, Canada.
25.
Schumacher, M., & Kurz-Gwen, A. (2000). The 8% solution: Preventing serious, repeat juvenile crime. Thousand Oaks, CA: SAGE Publications.
26.
Schwalbe, C.S., Fraser, M.W., Day, S.H., & Arnold, E.M. (2004). North Carolina assessment of risk: Reliability and predictive validity with juvenile offenders. Journal of Offender Rehabilitation, 40, 1-22.
27.
Snyder, H.N., & Sickmund, M. (2006). Juvenile offenders and victims: 2006 national report. Washington, DC: U.S. Department of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention.
28.
Stalans, L.J., Yarnold, P.R., Seng, M., Olson, D.E., & Repp, M. (2004). Identifying three types of violent offenders and predicting violent recidivism while on probation: A classification tree analysis . Law and Human Behavior, 28, 253-271.
29.
Wolfgang, M., Figlio, R.M., & Sellin, T. (1972). Delinquency in a birth cohort. Chicago: University of Chicago Press.
