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Research Article

Using a reassessment framework to determine critical case management needs: DRAOR improves on LS/RNR’s predictive discrimination of short-term recidivism

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Received 20 Dec 2021, Accepted 01 Jan 2023, Published online: 13 Jan 2023

References

  • Andrews, D. A., & Bonta, J. (1995). LSI-R: The Level of Service Inventory-Revised. Multi-Health Systems.
  • Andrews, D. A., & Bonta, J. (2010). The psychology of criminal conduct (5th ed.). Routledge.
  • Andrews, D. A., Bonta, J., & Wormith, J. S. (2004). The Level of Service/Case Management Inventory (LS/CMI). Multi-Health Systems.
  • Andrews, D. A., Bonta, J., & Wormith, J. S. (2006). The recent past and near future of risk and/or need assessment. Crime and Delinquency, 52(1), 7–27. https://doi.org/10.1177/0011128705281756
  • Andrews, D. A., Bonta, J., & Wormith, J. S. (2008). The Level of Service/Risk-Need-Responsivity (LS/RNR): User’s manual. Multi-Health Systems.
  • 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(1), 113–133. https://doi.org/10.1177/0306624X10395716
  • Babchishin, K. M., Blais, J., & Helmus, L. (2012). Do static risk factors predict differently for Aboriginal sex offenders? A multi-site comparison using the original and revised Static-99 and Static-2002 scales. Canadian Journal of Criminology and Criminal Justice, 54(1), 1–43. https://doi.org/10.3138/cjccj.2010.E.40
  • Babchishin, K. M., & Hanson, R. K. (2020). Monitoring changes in risk of reoffending: A prospective study of 632 men on community supervision. Journal of Consulting and Clinical Psychology, 88(10), 886–898. https://doi.org/10.1037/ccp0000601
  • Bakker, L., O’Malley, J., & Riley, D. (1999). Risk of reconviction: Statistical models which predict four types of re-offending. New Zealand Department of Corrections Psychological Service. https://www.corrections.govt.nz/__data/assets/pdf_file/0020/10667/roc.pdf
  • Bourgon, G., Mugford, R., Hanson, R. K., & Coligado, M. (2018). Offender risk assessment practices vary across Canada. Canadian Journal of Criminology & Criminal Justice, 60(2), 167–205. https://doi.org/10.3138/cjccj.2016-0024
  • Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods and Research, 33(2), 261–304. https://doi.org/10.1177/0049124104268644
  • Campbell, C. A., D’Amato, C., & Papp, J. (2019). Validation of the Ohio Youth Assessment System Disposition tool (OYAS-DIS): An examination of race and gender differences. Youth Violence and Juvenile Justice, 18(2), 196–211. https://doi.org/10.1177/1541204019859938
  • Caudy, M. S., Durso, J. M., & Taxman, F. S. (2013). How well do dynamic needs predict recidivism? Implications for risk assessment and risk reduction. Journal of Criminal Justice, 41(6), 458–466. https://doi.org/10.1016/j.jcrimjus.2013.08.004
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum. https://doi.org/10.4324/9780203771587
  • Corrections Act. (1986). (Vic.) (Austl.).
  • Corrections and Conditional Release Act SC. (1992). (Canada).
  • Coulter, D. J., Lloyd, C. D., & Serin, R. C. (2022). Combining static and dynamic recidivism risk information into the five-level risk and needs system: A New Zealand example. Criminal Justice and Behavior, 49(1), 77–97. https://doi.org/10.1177/00938548211033319
  • Coupland, R. B., & Olver, M. E. (2020). Assessing dynamic violence risk in a high-risk treated sample of violent offenders. Assessment, 27(8), 1886–1900. https://doi.org/10.1177/1073191118797440
  • Cox, D. R. (1972). Regression models and life tables. Journal of the Royal Statistical Society Series B (Methodological), 34(2), 187–220. https://doi.org/10.1111/j.2517-6161.1972.tb00899.x
  • Crime Statistics Agency. (2021). CSA Offence Code Concordance [Code book]. Retrieved February 24, 2021, from https://www.crimestatistics.vic.gov.au/about-the-data/classifications-and-victorian-map-boundaries/offence-classification
  • Davies, S. T., Lloyd, C. D., & Polaschek, D. L. L. (2021). Does reassessment enhance the prediction of imminent criminal recidivism? Replicating Lloyd et al. (2020) with high-risk parolees. Assessment, 29(5), 962–980. https://doi.org/10.1177/1073191121993216
  • Desmarais, S. L., & Singh, J. P. (2013). Risk assessment instruments validated and implemented in correctional settings in the United States. https://csgjusticecenter.org/wp-content/uploads/2020/02/Risk-Assessment-Instruments-Validated-and-Implemented-in-Correctional-Settings-in-the-United-States.pdf
  • Edens, J. F., & Boccaccini, M. T. (2017). Taking forensic mental health assessment ‘out of the lab’ and into ‘the real world’: Introduction to the special issue on the field utility of forensic assessment instruments and procedures. Psychological Assessment, 29(6), 599–610. https://doi.org/10.1037/pas0000475
  • Gordon, H., Kelty, S. F., & Julian, R. (2015). An evaluation of the Level of Service/Case Management Inventory in an Australian community corrections environment. Psychiatry, Psychology and Law, 22(2), 247–258. https://doi.org/10.1080/13218719.2014.941090
  • Guay, J.-P., & Parent, G. (2018). Broken legs, clinical overrides, and recidivism risk: An analysis of decisions to adjust risk levels with the LS/CMI. Criminal Justice and Behavior, 45(1), 82–100. https://doi.org/10.1177/0093854817719482
  • Hanby, L. (2013). A longitudinal study of dynamic risk, protective factors, and criminal recidivism: Change over time and the impact of assessment timing [Doctoral dissertation]. Carleton University, Research Virtual Environment. https://curve.carleton.ca/b6aa7d5d-f44b-48d6-9ea9-5d0f92b8f7a7
  • Hanson, R. K., Harris, A. J. R., Scott, T., & Helmus, L. (2007). Assessing the risk of sexual offenders on community supervision: The Dynamic Supervision Project (User Report No. 2007–05). Public Safety Canada. https://www.publicsafety.gc.ca/cnt/rsrcs/pblctns/ssssng-rsk-sxl-ffndrs/ssssng-rsk-sxl-ffndrs-eng.pdf
  • Hanson, R. K., Newstrom, N., Brouillette-Alarie, S., Thornton, D., Robinson, B. E., & Miner, M. H. (2021). Does reassessment improve prediction? A prospective study of the Sexual Offender Treatment and Intervention Progress Scale (SOTIPS). International Journal of Offender Therapy and Comparative Criminology, 65(16), 1775–1803. https://doi.org/10.1177/0306624X20978204
  • Heagerty, P. J., & Zheng, Y. (2005). Survival model predictive accuracy and ROC curves. Biometrics, 61(1), 92–105. https://doi.org/10.1111/j.0006-341X.2005.030814.x
  • Heilbrun, K. (1997). Prediction versus management models relevant to risk assessment: The importance of legal decision-making context. Law and Human Behavior, 21(4), 347–359. https://doi.org/10.1023/A:1024851017947
  • Helmus, L. M., & Babchishin, K. M. (2017). Primer on risk assessment and the statistics used to evaluate its accuracy. Criminal Justice and Behavior, 44(1), 8–25. https://doi.org/10.1177/0093854816678898
  • Hoge, R. D., & Andrews, D. A. (2002). Youth Level of Service/Case Management Inventory (YLS/CMI). Multi-Health Systems.
  • Howard, P. D., & Dixon, L. (2013). Identifying change in the likelihood of violent recidivism: Causal dynamic risk factors in the OASys Violence Predictor. Law and Human Behavior, 37(3), 163–174. https://doi.org/10.1037/lhb0000012
  • Jimenez, A. C., Delgado, R. H., Vardsveen, T. C., & Wiener, R. L. (2018). Validation and application of the LS/CMI in Nebraska probation. Criminal Justice and Behavior, 45(6), 863–884. https://doi.org/10.1177/0093854818763231
  • Kroner, D. G., Mills, J. F., & Reddon, J. R. (2005). A coffee can, factor analysis, and prediction of antisocial behavior: The structure of criminal risk. International Journal of Law and Psychiatry, 28(4), 360–374. https://doi.org/10.1016/j.ijlp.2004.01.011
  • Lloyd, C. D., Hanson, R. K., Richards, D. K., & Serin, R. C. (2020a). Reassessment improves prediction of criminal recidivism: A prospective study of 3,421 individuals in New Zealand. Psychological Assessment, 32(6), 568–581. https://doi.org/10.1037/pas0000813
  • Lloyd, C. D., Perley-Robertson, B., & Serin, R. C. (2020b). Age and strengths in a community corrections sample. International Journal of Forensic Mental Health, 19(3), 215–226. https://doi.org/10.1080/14999013.2019.1684404
  • McGrath, R. J., Lasher, M. P., & Cumming, G. F. (2012). The Sex Offender Treatment Intervention and Progress Scale (SOTIPS): Psychometric properties and incremental predictive validity with static-99R. Sexual Abuse, 24(5), 431–458. https://doi.org/10.1177/1079063211432475
  • Miller, J., & Maloney, C. (2020). Facilitators of practitioner adherence to a risk/need assessment tool: Hypothesis testing on a survey of juvenile probation officers. International Journal of Offender Therapy and Comparative Criminology, 64(16), 1757–1778. https://doi.org/10.1177/0306624X20936188
  • Olver, M. E., Beggs Christofferson, S. M., Grace, R. C., & Wong, S. C. P. (2014a). Incorporating change information into sexual offender risk assessments using the Violence Risk Scale–Sexual Offender version. Sexual Abuse: A Journal of Research and Treatment, 26(5), 472–499. https://doi.org/10.1177/1079063213502679
  • Olver, M. E., Sowden, J. N., Kingston, D. A., Nicholaichuk, T. P., Gordon, A., Christofferson, B., & Wong, S. C. P. (2018). Predictive accuracy of Violence Risk Scale-Sexual Offender version risk and change scores in treated Canadian aboriginal and non-aboriginal offenders. Sexual Abuse, 30(3), 254–275. https://doi.org/10.1177/1079063216649594
  • Olver, M. E., Stockdale, K. C., & Wormith, J. S. (2014b). 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. https://doi.org/10.1037/a0035080
  • Parole Act. (2002). (NZ).
  • Polaschek, D. L. L., & Yesberg, J. A. (2017). High-risk violent prisoners’ patterns of change on parole on the DRAOR’s dynamic risk and protective factors. Criminal Justice and Behavior, 45(3), 340–363. https://doi.org/10.1177/0093854817739928
  • 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(5), 615–620. https://doi.org/10.1007/s10979-005-6832-7
  • Risk Management Authority. (2021). Risk Assessment Tools Evaluation Directory. RMA. Retrieved 15 June, 2021, from https://www.rma.scot/research/rated/
  • Roychowdhury, A., & Adshead, G. (2014). Violence risk assessment as a medical intervention: Ethical tensions. Psychiatric Bulletin, 38(2), 75–82. https://doi.org/10.1192/pb.bp.113.043315
  • Scanlan, J. M., Yesberg, J. A., Fortune, C., & Polaschek, D. L. L. (2020). Predicting women’s recidivism using the Dynamic Risk Assessment for Offender Re-entry: Preliminary evidence of predictive validity with community-sentenced women using a “gender-neutral” risk measure. Criminal Justice and Behavior, 47(3), 251–270. https://doi.org/10.1177/0093854819896387
  • Schaefer, L., & Williamson, H. (2018). Probation and parole officers’ compliance with case management tools: Professional discretion and override. International Journal of Offender Therapy and Comparative Criminology, 62(14), 4565–4584. https://doi.org/10.1177/0306624X18764851
  • Serin, R. C. (2007). The Dynamic Risk Assessment for Offender Re-entry [Unpublished scale].
  • Serious Offenders Act. (2018). (Vic.) (Austl.).
  • Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195152968.001.0001
  • Stone, A. G., Lloyd, C. D., & Serin, R. C. (2022). Dynamic risk factors reassessed regularly after release from incarceration predict imminent violent recidivism. Law and Human Behavior, 45(6), 512–523. https://doi.org/10.1037/lhb0000463
  • Viljoen, J. L., Shaffer, C. S., Muir, N. M., Cochrane, D. M., & Brodersen, E. M. (2019). Improving case plans and interventions for adolescents on probation: The implementation of the SAVRY and a structured case planning form. Criminal Justice and Behavior, 46(1), 42–62. https://doi.org/10.1177/0093854818799379
  • Vincent, G. M., Perrault, R. T., Drawbridge, D. C., Landry, G. O., & Grisso, T. (2021). Risk-Need-Responsivity meets mental health: Implementation challenges in probation case planning. Criminal Justice and Behavior, 48(9), 1187–1207. https://doi.org/10.1177/00938548211008491
  • Volinsky, C. T., & Raftery, A. E. (2000). Bayesian information criterion for censored survival models. Biometrics, 56(1), 256–262. https://doi.org/10.1111/j.0006-341X.2000.00256.x
  • Xu, R., & O’Quigley, J. (1999). A R2 type measure of dependence for proportional hazards models. Journal of Nonparametric Statistics, 12(1), 83–107. https://doi.org/10.1080/10485259908832799
  • Yang, M., Wong, S. C. P., & Coid, J. (2010). The efficacy of violence prediction: A meta-analytic comparison of nine risk assessment tools. Psychological Bulletin, 136(5), 740–767. https://doi.org/10.1037/a0020473
  • Yesberg, J. A., & Polaschek, D. L. L. (2015). Assessing dynamic risk and protective factors in the community: Examining the validity of the Dynamic Risk Assessment for Offender Re-entry. Psychology, Crime & Law, 21(1), 80–99. https://doi.org/10.1080/1068316X.2014.935775
  • Yesberg, J. A., Scanlan, J. M., Hanby, L. J., Serin, R. C., & Polaschek, D. L. L. (2015). Predicting women’s recidivism: Validating a dynamic community-based ‘gender-neutral’ tool. Probation Journal, 62(1), 33–48. https://doi.org/10.1177/0264550514562851
  • Zamble, E., & Quinsey, V. L. (1997). The criminal recidivism process. Cambridge University Press. https://doi.org/10.1017/CBO9780511527579