Predicting recidivism in probationers with the youth level of service case management inventory (YLS/CMI)

Criminal Justice and Behavior

Volumn 35, Issue 4, 2008, Pages 474-483

  Onifade, Eyitayo ^a   Davidson, William ^a   Campbell, Christina ^a   Turke, Garrett ^b   Malinowski, Jill ^b   Turner, Kimberly ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b Ingham County Juvenile Court ^*

Author keywords

Delinquency; Recidivism; Risk assessment; YLS CMI

Indexed keywords

EID: 41149147701     PISSN: 00938548     EISSN: 15523594     Source Type: Journal    
DOI: 10.1177/0093854807313427     Document Type: Article

References (29)

1. 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.
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.
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.
11. Gilliam, J.E. (2002). Conduct Disorder Scale: An examiners guide. Austin, TX: Pro-Ed.
12. 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 (2 nd 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.
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.