236
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

The importance of counties: Examining the predictive validity of a state juvenile risk assessment instrument

References

  • Andrews, D. A., Bonta, J., Wormith, J. S., Guzzo, L., Brews, A., Rettinger, J., & Rowe, R. (2011). Sources of variability in estimates of predictive validity: A specification with Level of Service general risk and need. Criminal Justice and Behavior, 38(5), 413–432. doi:10.1177/0093854811401990
  • Andrews, D. A., Guzzo, L., Raynor, P., Rowe, R. C., Rettinger, L. J., Brews, A., & Wormith, J. S. (2012). Are the major risk/need factors predictive of both female and male reoffending? A test with the eight domains of the level of service/case management inventory. International Journal of Offender Therapy and Comparative Criminology, 56, 113–133. doi:10.1177/0306624x10395716
  • Baglivio, M. T. (2009). The assessment of risk to recidivate among a juvenile offending population. Journal of Criminal Justice, 37, 596–607. doi:10.1016/j.jcrimjus.2009.09.008
  • Baglivio, M. T., & Jackowski, K. (2013). Examining the validity of the juvenile offending risk assessment instrument across gender and race/ethnicity. Youth Violence and Juvenile Justice, 11(1), 26–43. doi:10.1177/1541204012440107
  • Baird, C. (2009). A question of evidence: A critique of risk assessment models used the justice system. Madison, WI: National Council on Crime and Delinquency.
  • Baird, C., Healy, T., Johnson, K., Bogie, A., Wicke Dankert, E., & Scharenbroch, C. (2013). A comparison of risk assessment instruments in juvenile justice. Madison, WI: National Council on Crime and Delinquency.
  • Barnes, A. R., Campbell, N. A., Anderson, V. R., Campbell, C. A., Onifade, E., & Davidson, W. S. (2016). Validity of initial, exit, and dynamic juvenile risk assessment: An examination across gender and race/ethnicity. Journal of Offender Rehabilitation, 55(1), 21–38. doi:10.1080/10509674.2015.1107004
  • Barnoski, R. (2004). Assessing risk for re-offense: Validating the Washington State Juvenile Court Assessment. Olympia, WA: Washington State Institute for Public Policy.
  • Bechtel, K., Lowenkamp, C. T., & Latessa, E. (2007). Assessing the risk of re-offending for juvenile offenders using the youth level of service/case management inventory. Journal of Offender Rehabilitation, 45(3/4), 85–108. doi:10.1300/j076v45n03_04
  • Clear, T. (1988). Statistical prediction in corrections. Research in Corrections, 1, 1–39.
  • Dean, C. W., & Duggan, T. J. (1968). Problems in parole prediction: A historical analysis. Social Problems, 15, 450–459. doi:10.1525/sp.1968.15.4.03a00070
  • Flores, A. W., Lownekamp, C. T., Holsinger, A. M., & Latessa, E. J. (2006). Predicting outcome with the level of service inventory-revised: The importance of implementation integrity. Journal of Criminal Justice, 34, 523–529. doi:10.1016/j.jcrimjus.2006.09.007
  • 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.
  • Gottfredson, D. M., & Snyder, H. N. (2005). The mathematics of risk classification: Changing data into valid instruments for juvenile courts (No. NCJ 209158). Washington, DC: United States Department of Justice, Office of Justice Programs.
  • Gottfredson, S. D., & Moriarty, L. J. (2006). Statistical risk assessment: Old problems and new applications. Crime & Delinquency, 52(1), 178–200. doi:10.1177/0011128705281748
  • Hipp, J. R., Petersilia, J., & Turner, S. (2010). Parolee recidivism in California: The effect of neighborhood context and social service agency characteristics. Criminology, 48(4), 947–979. doi:10.1111/j.1745-9125.2010.00209.x
  • Johnson, K., Wagner, D., & Matthews, T. (2002). Missouri juvenile risk assessment re-validation report. Madison, WI: National Council on Crime and Delinquency.
  • Kubrin, C. E., & Stewart, E. A. (2006). Predicting who reoffends: The neglected role of neighborhood context in recidivism studies. Criminology, 44(1), 165–197. doi:10.1111/j.1745-9125.2006.00046.x
  • Latessa, E. J., Lovins, B., & Ostrowski, K. (2009). The Ohio youth assessment system. Cincinnati, OH: Center for Criminal Justice Research, University of Cincinnati.
  • Lovins, B., & Latessa, E. (2013). Creation and validation of the Ohio Youth Assessment System (OYAS) and strategies for successful implementation. Justice Research and Policy, 15(1), 1–27. doi:10.3818/jrp.15.1.2013.67
  • McCafferty, J. T. (2015). Professional discretion and the predictive validity of a juvenile risk assessment instrument: Exploring the overlooked principle of effective correctional classification. Youth Violence and Juvenile Justice. doi:10.1177/1541204015622255. Advance online publication.
  • McCafferty, J. T. (2016). Unjust disparities? The impact of race on juvenile risk assessment outcomes. Criminal Justice Policy Review. doi:10.1177/0887403416634163. Advance online publication.
  • Olver, M. E., Stockdale, K. C., & Wormith, J. S. (2009). Risk assessment with young offenders: A meta-analysis of three assessment measures. Criminal Justice and Behavior, 36(4), 329–353. doi:10.1177/0093854809331457
  • Olver, M. E., Stockdale, K. C., & Wormith, J. S. (2014). Thirty years of research on the Level of Service scales: A meta-analytic examination of predictive accuracy and sources of variability. Psychological Assessment, 26(1), 156–176. doi:10.1037/a0035080
  • Onifade, E. O., Petersen, J., Bynum, T. S., & Davidson, W. S. (2011). Multilevel recidivism prediction: Incorporating neighborhood socioeconomic ecology in juvenile justice risk assessment. Criminal Justice and Behavior, 38(8), 840–853. doi:10.1177/0093854811407026
  • Rice, M. E., & Harris, G. T. (2005). Comparing effect sizes in follow-up studies: ROC area, Cohen’s d, and r. Law and Human Behavior, 29, 615–620. doi:10.1007/s10979-005-6832-7
  • Rossegger, A., Gerth, J., Seewald, K., Urbaniok, F., Singh, J. P., & Endrass, J. (2013). Current obstacles in replicating risk assessment findings: A systematic review of commonly used actuarial instruments. Behavioral Sciences and the Law, 31, 154–164. doi:10.1002/bsl.2044
  • Schmidt, F., Sinclair, S. M., & Thomasdóttir, S. (2016). Predictive validity of the Youth Level of Service/Case Management Inventory with youth who have committed sexual and non-sexual offenses: The utility of professional override. Criminal Justice and Behavior, 43(3), 413–430. doi:10.1177/0093854815603389
  • Schwalbe, C. (2007). Risk assessment for juvenile justice: A meta-analysis. Law and Human Behavior, 31, 449–462. doi:10.1007/s10979-006-9071-7
  • Schwalbe, C. (2008). A meta-analysis of juvenile justice risk assessment instruments: Predictive validity by gender. Criminal Justice and Behavior, 35(11), 1367–1381. doi:10.1177/0093854808324377
  • Schwalbe, C. (2009). Risk assessment stability: A revalidation study of the Arizona Risk/Needs Assessment Instrument. Research on Social Work Practice, 19(2), 205–213. doi:10.1177/1049731508317297
  • 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(2), 1–22. doi:10.1300/j076v40n01_01
  • 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(3), 305–324. doi:10.1177/0093854806286451
  • Tillyer, M. S., & Vose, B. (2011). Social ecology, individual risk, and recidivism: A multilevel examination of main and moderating influences. Journal of Criminal Justice, 39, 452–459. doi:10.1016/j.jcrimjus.2011.08.003
  • van der Knaap, L. M., Alberda, D. L., Oosterveld, P., & Born, M. P. (2012). The predictive validity of criminogenic needs for male and female offenders: Comparing the relative impact of needs in predicting recidivism. Law and Human Behavior, 36(5), 413–422. doi:10.1037/h0093932
  • Vincent, G. M., Perrault, R. T., Guy, L. S., & Gershenson, B. G. (2012). Developmental issues in risk assessment: Implications for juvenile justice. Victims and Offenders, 7, 364–384. doi:10.1080/15564886.2012.713900
  • Vose, B., Cullen, F. T., & Smith, P. (2008). The empirical status of the level of service inventory. Federal Probation, 72(3), 22–29.
  • Wright, K. A., & Cesar, G. T. (2013). Toward a more complex model of offender reintegration: Linking the individual-, community-, and system-level components of recidivism. Victims & Offenders, 8, 373–398. doi:10.1080/15564886.2013.803004
  • Wright, K. N., Clear, T. R., & Dickson, P. (1984). Universal applicability of probation risk-assessment instruments. Criminology, 22(1), 113–134. doi:10.1111/j.1745-9125.1984.tb00291.x

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.