Risk Assessment for Juvenile Justice: A Meta-Analysis
Tóm tắt
Từ khóa
Tài liệu tham khảo
*Ashford, J. B., & LeCroy, C. W. (1988). Predicting recidivism: An evaluatin of the Wisconsin Juvenile Probation and Aftercare Risk Instrument. Criminal Justice and Behavior, 15, 141–151.
*Ashford, J. B., & LeCroy, C. W. (1990). Juvenile recidivism: A comparison of three prediction instruments. Adolescence, 25, 441–450.
*Baker, K., Jones, S., Roberts, C., & Merrington, S. (2003). The evaluation of the validity and reliability of the Youth Justice Board’s assessment for young offenders: Findings from the first two years of ASSET. Oxford: Centre for Criminological Research, University of Oxford.
Barbaree, H. E., Seto, M. C., Langton, C. M., & Peacock, E. J. (2001). Evaluating the predictive accuracy of six risk assessment instruments for adult sex offenders. Criminal Justice and Behavior, 28, 490–521.
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.
*Barnoski, R. (2004). Assessing risk for re-offense: Validating the Washington State Juvenile Court Assessment. Olympia, WA: Washington State Institute for Public Policy.
Bonta, J., Law, M., & Hanson, K. (1998). The prediction of criminal and violent recidivism among mentally disordered offenders: A meta-analysis. Psychological Bulletin, 123, 123–142.
Burgess, E. W. (Ed.). (1928). Factors determining success or failure on parole. Springfield: Illinois State Board of Parole.
*Catchpole, R. E. H., & 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.
*Corrado, R. R., Vincent, G. M., Hart, S. D., & Cohen, I. M. (2004). Predictive validity of the psychopathy checklist: Youth version for general and violent recidivism. Behavioral Sciences & the Law, 22, 5–22.
Dawes, R. M., Faust, D., & Meehl, P. E. (1989). Clinical vs. actuarial judgment. Science, 243, 1668–1674.
DeVellis, R. F. (2003). Scale development: Theory and applications (2nd edn.). Newbury Park: Sage.
Downie, N. M., & Heath, R. W. (1983). Basic statistical methods (5th edn.). New York: Harper & Row.
Ferguson, J. L. (2002). Putting the “what works” research into practice: An organizational perspective. Criminal Justice and Behavior, 29, 472–492.
*Flores, A. W., Travis, L. F., & Latessa, E. J. (2004). Case classification for juvenile corrections: An assessment of the Youth Level of Service/Case Management Inventory (YLS/CMI), final report. Washington, DC: National Institute of Justice.
Fraser, M. W. (Ed.). (2004). Risk and resilience in childhood: An ecological perspective (2nd edn.). Washington, DC: NASW Press.
Gendreau, P., Goggin, C., & Smith, P. (2002). Is the PCL-R really the “unparralleled” measure of offender risk?: A lesson in knowledge cumulation. Criminal Justice and Behavior, 29, 397–426.
Gendreau, P., Little, T., & Goggin, C. (1996). A meta-analysis of the predictors of adult offender recidivism: What works. Criminology, 34, 557–607.
*Gretton, H. M., McBride, M., O’Shaughnessy, R., & Kumka, G. (2001). Psychopathy and recidivism in adolescent sex offenders. Criminal Justice and Behavior, 28, 427–449.
Griffin, P., & Bozynski, M. (2003). National overviews: State juvenile justice profiles. Retrieved November 5, 2003, from http://www.ncjj.org/stateprofiles/
Grove, W. M., & Meehl, P. E. (1996). Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical-statistical controversy. Psychology, Public Policy, and Law, 2, 293–323.
Hall, S. M., & Brannick, M. T. (2002). Comparison of two random-effects methods of meta-analysis. Journal of Applied Psychology, 87, 377–389.
Hodges, K., & Kim, C. (2000). Psychometric study of the child and adolescent functional assessment scale: Prediction of contact with the law and poor school attendence. Journal of Abnormal Child Psychology, 28, 287–297.
Hodges, K., & Wong, M. M. (1996). Psychometric characteristics of a multidimensional measure to assess impairment: The child and adolescent functional assessment scale. Journal of child and Family Studies, 5, 445–467.
Hoge, R. D. (2002). Standardized instruments for assessing risk and need in youthful offenders. Criminal Justice and Behavior, 29, 380–396.
*Hoge, R. D., & Andrews, D. A. (2001). The youth level of service /case management inventory (YLS /CMI): Intake manual and item scoring key. Carleton University.
Howell, J. C. (1995). Guide for implementing the comprehensive strategy for serious, violent, and chronic juvenile offenders. Washington, DC: Office of Juvenile Justice and Delinquency Prevention.
Howell, J. C. (2003). Preventing & reducing juvenile delinquency: A comprehensive framework. Thousand Oaks, CA: Sage.
Huedo-Medina, T. B., Sanchez-Meca, J., Marin-Martinez, F., & Botella, J. (2006). Assessing heterogeneity in meta-analysis: Q statistic or I-2 index? Psychological Methods, 11(2), 193–206.
Hunter, J. E., & Schmidt, F. L. (2000). Fixed effects vs. random effects meta-analysis models: Implications for cumulative research knowledge. International Journal of Selection and Research, 8, 275–292.
Hunter, J. E., & Schmidt, F. (2004). Methods of meta-analysis (2nd edn.). Thousand Oaks, CA: Sage.
*Ilacqua, G. E., Coulson, G. E., Lombardo, D., & Nutbrown, V. (1999). Predictive validity of the Young Offender Level of Service Inventory for criminal recidivism of male and female young offenders. Psychological Reports, 84, 1214–1218.
*Johnson, K., Wagner, D., & Matthews, T. (2002). Missouri juvenile risk assessment re-validation report. Madison, WI: National Council on Crime and Delinquency.
Jones, P. R., Harris, P. W., Fader, J., & Grubstein, L. (2001). Identifying chronic juvenile offenders. Justice Quarterly, 18, 479–507.
*Jung, S., & Rawana, E. P. (1999). Risk and need assessment of juvenile offenders. Criminal Justice and Behavior, 26, 69–89.
*Krysik, J., & LeCroy, C. W. (2002). The empirical validation of an instrument to predict risk of recidivism among juvenile offenders. Research on Social Work Practice, 12, 71–81.
*LeCroy, C. W., Krysik, J., & Palumbo, D. (1998). Empirical validation of the Arizona risk/needs instrument and assessment process. Tucson, AZ: LeCroy & Milligan Associates, Inc.
Lipsey, M. W. (2003). Those confounded moderators in meta-analysis: Good, bad, and ugly. The Annals of the American Academy of Political and Social Science, 587, 69–81.
*NCCD. (2000). Alameda County placement risk assessment validation: Draft of final report. Oakland, CA: Self.
*Quist, R. M., & Matshuzi, D. G. M. (2000). The child and adolescent functional assessment scale (CAFAS): A dynamic predictor of juvenile recidivism. Adolescence, 35, 181–192.
Rice, M. E., & Harris, G. T. (1995). Violent recidivism: Assessing predictive validity. Journal of Consulting and Clinical Psychology, 63, 737–748.
Rice, M. E., & Harris, G. T. (2005). Comoparing effect sizes in follow-up studies: ROC area, Cohen’s d, and r. Law and Human Behavior, 29, 615–620.
*Risler, E. A., Sutphen, R., & Shields, J. (2000). Preliminary validation of the juvenile first offender risk assessment index. Research on Social Work Practice, 10, 111–126.
Rosenthal, R. (1991). Meta-analytic procedures for social research (2nd edn.). Newbury Park: Sage Publications.
Rosenthal, R., & DiMatteo, M. R. (2001). Meta-analysis: Recent developments in quantitative methods for literature reviews. Annual Review of Psychology, 52, 59–82.
*Schmidt, F., Hoge, R. D., & Gomez, L. (2005). Reliability and validity analyses of the youth level of service/case management inventory. Criminal Justice and Behavior, 32, 329–344.
*Schwalbe, C. S., Fraser, M. W., & Day, S. H. (in-press). Predictive validity of the Joint Risk Matrix with juvenile offenders: A focus on gender and race/ethnicity. Criminal Justice and Behavior.
*Schwalbe, C. S., Fraser, M. W., Day, S. H., & Arnold, E. M. (2004). North Carolina Assessment of Risk (NCAR): Reliability and Predictive Validity with Juvenile Offenders. Journal of Offender Rehabilitation, 40, 1–22.
*Schwalbe, C. S., Fraser, M. W., Day, S. H., & Cooley, V. (2006). Classifying juvenile offenders according to risk of recidivism: Predictive validity, race/ethnicity, and gender. Criminal Justice and Behavior, 33, 305–324.
*Sharkey, J. D., Furlong, M. J., Jimerson, S. R., & O’Brien, K. M. (2003). Evaluating the utility of a risk assessment to predict recidivism among male and female adolescents. Education and Treatment of Children, 26, 467–494.
*Smith, W. R., & Aloisi, M. F. (1999). Prediction of recidivism among “second timers” in the juvenile justice system: Efficiency in screening chronic offenders. American Journal of Criminal Justice, 23, 201–222.
Steel, P. D., & Kammeyer-Mueller, J. D. (2002). Comparing meta-analytic moderator estimation techniques under realistic conditions. Journal of Applied Psychology, 87, 96–111.
Swets, J. A. (1996). Signal detection theory and ROC analysis in psychology and diagnostics: Collected papers. Mahwah, NJ: Lawrence Erlbaum Associates.
*Thompson, A. P., & Pope, Z. (2005). Assessing juvenile offenders: Preliminary data for the Australian adaptation of the youth level of service/case management inventory (Hoge & Andrews, 1995). Australian Psychologist, 40, 207–214.
Towberman, D. B. (1992). A national survey of juvenile risk assessment. Family & Juvenile Court Journal, 43, 61–67.
*Turner, S., & Fain, T. (2003). Validation of the Los Angeles County Probation Department’s risk and needs assessment instruments. Washington, DC: Department of Justice.
*Upperton, R. A., & Thompson, A. P. (2005). Predicting recidivism: A risk assessment inventory vs juvenile justice officers. Paper presented at the Australian Psychological Society, Melbourne.
*Wagner, D., Wiebush, R., & Lunning, S. (2000). Validation of the Indiana DOC juvenile division risk assessment instrument. Madison, WI: National Council on Crime and Delinquency.
Walters, G. D. (2003). Predicting criminal justice outcomes with the Psychopathy Checklist and Lifestyle Criminality Screening Form: A meta-analytic comparison. Behavioral Sciences & the Law, 21, 89–102.
*Wiebush, R., Wagner, D., & Ehrlich, J. (1999). Development of an empirically-based risk assessment instrument: For the Virginia Department of Juvenile Justice final report. Madison, WI: National Council on Crime and Delinquency.