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Research Articles

Beyond monolithic threat: Understanding risk typology in court-involved Black male youth

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Pages 21-44 | Received 13 Jul 2023, Accepted 23 Jan 2024, Published online: 12 Feb 2024

References

  • Andrews, D. A., Bonta, J., & Wormith, J. S. (2006). The recent past and near future of risk and/or need assessment. Crime & Delinquency, 52(1), 7–27. https://doi.org/10.1177/0011128705281756
  • Benassi, M., Garofalo, S., Ambrosini, F., Patrizia, R., Raggini, R., De Paoli, G., Ravani, C., Giovagnoli, S., Orsoni, M., & Piraccini, G. (2020). Using two-step cluster analysis and latent class cluster analysis to classify the cognitive heterogeneity of cross-diagnostic psychiatric inpatients. Frontiers in Psychology, 11, 1085. https://doi.org/10.3389/fpsyg.2020.01085
  • Brogan, L., Haney-Caron, E., NeMoyer, A., & DeMatteo, D. (2015). Applying the risk-need-responsivity (RNR) model to juvenile justice. Criminal Justice Review, 40(3), 277–302. https://doi.org/10.1177/0734016814567312
  • Bryant, W. W. (2011). Internalized racism’s association with African American male youth’s propensity for violence. Journal of Black Studies, 42(4), 690–707. https://doi.org/10.1177/0021934710393243
  • Campbell, C. A., Miller, W., Papp, J., Barnes, A. R., Onifade, E., & Anderson, V. R. (2019). Assessing intervention needs of juvenile probationers: An application of latent profile analysis to a risk–need–responsivity assessment model. Criminal Justice and Behavior, 46(1), 82–100. https://doi.org/10.1177/0093854818796869
  • Campbell, C., Papp, J., Barnes, A., Onifade, E., & Anderson, V. (2018). Risk assessment and juvenile justice: An interaction between risk, race, and gender. Criminology & Public Policy, 17(3), 525–545. https://doi.org/10.1111/1745-9133.12377
  • Cochran, J. C., & Mears, D. P. (2015). Race, ethnic, and gender divides in juvenile court sanctioning and rehabilitative intervention. Journal of Research in Crime and Delinquency, 52(2), 181–212. https://doi.org/10.1177/0022427814560574
  • Connolly, E. J., Lewis, R. H., & Boisvert, D. L. (2017). The effect of socioeconomic status on delinquency across urban and rural contexts: Using a genetically informed design to identify environmental risk. Criminal Justice Review, 42(3), 237–253. https://doi.org/10.1177/0734016817724200
  • Fazel, S., Singh, J. P., Doll, H., & Grann, M. (2012). Use of risk assessment instruments to predict violence and antisocial behavior in 73 samples involving 24,827 people: Systematic review and meta-analysis. BMJ, 345(jul24 2), e4692. https://doi.org/10.1136/bmj.e4692
  • Felson, R. B., Deane, G., & Armstrong, D. P. (2008). Do theories of crime or violence explain race differences in delinquency? Social Science Research, 37(2), 624–641. https://doi.org/10.1016/j.ssresearch.2007.08.001
  • Gatti, U., Tremblay, R. E., & Vitaro, F. (2009). Iatrogenic effect of juvenile justice. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 50(8), 991–998. https://doi.org/10.1111/j.1469-7610.2008.02057.x
  • Goff, P. A., Jackson, M. C., Di Leone, B. A. L., Culotta, C. M., & DiTomasso, N. A. (2014). The essence of innocence: Consequences of dehumanizing Black children. Journal of Personality and Social Psychology, 106(4), 526–545. https://doi.org/10.1037/a0035663
  • Hagaman, J. L., Trout, A. L., Chmelka, M. B., Thompson, R. W., & Reid, R. (2010). Risk profiles of children entering residential care: A cluster analysis. Journal of Child and Family Studies, 19(4), 525–535. https://doi.org/10.1007/s10826-009-9325-3
  • Harcourt, B. E. (2015). Risk as a proxy for race: The dangers of risk assessment. Federal Sentencing Reporter, 27(4), 237–243. https://scholarship.law.columbia.edu/faculty_scholarship/2564. https://doi.org/10.1525/fsr.2015.27.4.237
  • Hofstetter, H., Dusseldorp, E., Empelen, P., & Paulussen, T. (2014). A primer on the use of cluster analysis or factor analysis to assess co-occurrence of risk behaviors. Preventive Medicine, 67, 141–146. https://doi.org/10.1016/j.ypmed.2014.07.007
  • Hussey, D. L., Drinkard, A. M., Falletta, L., & Flannery, D. J. (2008). Understanding clinical complexity in delinquent youth: Comorbidities, service utilization, cost, and outcomes. Journal of Psychoactive Drugs, 40(1), 85–95. https://doi.org/10.1080/02791072.2008.10399764
  • Lehmann, P. S., Meldrum, R. C., & Greenwald, M. A. (2020). Upward departures from structured recommendations in juvenile court dispositions: The intersection of race, ethnicity, and gender. Justice Quarterly, 37(3), 514–540. https://doi.org/10.1080/07418825.2018.1531143
  • Leiber, M. J. (2016). Race, prior offending, and juvenile court outcomes. Journal of Crime and Justice, 39(1), 88–106. https://doi.org/10.1080/0735648X.2015.1110232
  • Leiber, M. J., & Peck, J. H. (2020). Clarifying the theoretical tenets of the symbolic threat perspective. Justice Quarterly, 37(6), 1040–1066. https://doi.org/10.1080/07418825.2019.1593488
  • 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), 67–93. https://doi.org/10.3818/JRP.15.1.2013.67
  • Lowenkamp, C. T., Latessa, E. J., & Holsinger, A. M. (2006). The risk principle in action: What have we learned from 13,676 offenders and 97 correctional programs? Crime & Delinquency, 52(1), 77–93. https://doi.org/10.1177/0011128705281747
  • McCafferty, J. T. (2013). The predictive validity of the Ohio Youth Assessment System-disposition instrument: A revalidation study. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384334038
  • Mulder, E., Brand, E., Bullens, R., & van Marle, H. (2019). Toward a classification of juvenile offenders: Subgroups of serious juvenile offenders and severity of recidivism. International Journal of Offender Therapy and Comparative Criminology, 63(6), 819–836. https://doi.org/10.1177/0306624X10387518
  • Onifade, E., Barnes, A., Campbell, C., & Mandalari, A. (2019). Risk assessment as a mechanism for reducing differential treatment of minorities by a juvenile justice system. Journal of Ethnicity in Criminal Justice, 17(3), 203–227. https://doi.org/10.1080/15377938.2019.1619647
  • Onifade, E., Davidson, W., Livsey, S., Turke, G., Horton, C., Malinowski, J., Atkinson, D., & Wimberly, D. (2008). Risk assessment: Identifying patterns of risk in young offenders with the Youth Level of Service/Case Management Inventory. Journal of Criminal Justice, 36(2), 165–173. https://doi.org/10.1016/j.jcrimjus.2008.02.006
  • Onifade, E., Nyandoro, A. S., Davidson, W. S., & Campbell, C. (2010). Truancy and patterns of criminogenic risk in a young offender population. Youth Violence and Juvenile Justice, 8(1), 3–18. https://doi.org/10.1177/1541204009338251
  • Onifade, E., 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. https://doi.org/10.1177/0093854811407026
  • Pettus-Davis, C., Brown, D., Veeh, C., & Renn, T. (2016). The economic burden of incarceration in the US. Institute for Advancing Justice Research and Innovation. Washington University in St. Louis.
  • Piquero, A. R. (2008). Disproportionate minority contact. The Future of Children, 18(2), 59–79.
  • Rice, M. E., & Harris, G. T. (1995). Violent recidivism: Assessing predictive validity. Journal of Consulting and Clinical Psychology, 63(5), 737–748. https://doi.org/10.1037/0022-006X.63.5.737
  • Ryan, J. P., Williams, A. B., & Courtney, M. E. (2013). Adolescent neglect, juvenile delinquency and the risk of recidivism. Journal of Youth and Adolescence, 42(3), 454–465. https://doi.org/10.1007/s10964-013-9906-8
  • Shishane, K., John-Langba, J., & Onifade, E. (2023). Mental health disorders and recidivism among incarcerated adult offenders in a correctional facility in South Africa: A cluster analysis. PLoS One, 18(1), e0278194. https://doi.org/10.1371/journal.pone.0278194
  • Sickmund, M., Sladky, T. J., Puzzanchera, C., & Kang, W. (2021). Easy access to the census of juveniles in residential placement. National Center for Juvenile Justice. https://www.ojjdp.gov/ojstatbb/ezacjrp/
  • Stefurak, T., & Calhoun, G. (2007). Subtypes of female juvenile offenders: A cluster analysis of the Millon Adolescent Clinical Inventory. International Journal of Law and Psychiatry, 30(2), 95–111. https://doi.org/10.1016/j.ijlp.2006.04.003
  • Taylor-Thompson, K. (2021). Treating All Kids as Kids Persistent and longstanding racism has fueled harsher treatment of young Black people in the justice system. https://www.brennancenter.org/our-work/analysis-opinion/treating-all-kids-kids
  • Unnever, J., Owusu-Bempah, A., & Deryol, R. (2019). A test of the differential involvement hypothesis. Race and Justice, 9(2), 197–224. https://doi.org/10.1177/2153368717697104
  • Waytz, A., Hoffman, K. M., & Trawalter, S. (2015). A superhumanization bias in Whites’ perceptions of Blacks. Social Psychological and Personality Science, 6(3), 352–359. https://doi.org/10.1177/1948550614553642
  • Zane, S. N. (2021). Have racial and ethnic disparities in juvenile justice reduced over time? An empirical assessment of the DMC mandate. Youth Violence and Juvenile Justice, 19(2), 163–185. https://doi.org/10.1177/1541204020962163

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