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How well do dynamic needs predict recidivism? Implications for risk assessment and risk reduction

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  • Caudy, Michael S.
  • Durso, Joseph M.
  • Taxman, Faye S.

Abstract

The current study assessed the predictive validity of nine dynamic risk factors in two samples of justice-involved individuals (n=24,972) to identify promising targets for correctional programming. The study also tested the incremental predictive validity of dynamic risk relative to static indicators of recidivism risk (i.e., criminal history, age and sex).

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  • Caudy, Michael S. & Durso, Joseph M. & Taxman, Faye S., 2013. "How well do dynamic needs predict recidivism? Implications for risk assessment and risk reduction," Journal of Criminal Justice, Elsevier, vol. 41(6), pages 458-466.
    • Handle: RePEc:eee:jcjust:v:41:y:2013:i:6:p:458-466
    DOI: 10.1016/j.jcrimjus.2013.08.004
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    References listed on IDEAS

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    1. Holsinger, Alexander M. & Lowenkamp, Christopher T. & Latessa, Edward J., 2006. "Exploring the validity of the Level of Service Inventory-Revised with Native American offenders," Journal of Criminal Justice, Elsevier, vol. 34(3), pages 331-337.
    2. Morgan, Robert D. & Kroner, Daryl G. & Mills, Jeremy F. & Serna, Catherine & McDonald, Brendan, 2013. "Dynamic risk assessment: A validation study," Journal of Criminal Justice, Elsevier, vol. 41(2), pages 115-124.
    3. Dowdy, Eric R. & Lacy, Michael G. & Unnithan, N. Prabha, 2002. "Correctional prediction and the Level of Supervision Inventory," Journal of Criminal Justice, Elsevier, vol. 30(1), pages 29-39.
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    Cited by:

    1. Cuevas, Celina & Wolff, Kevin T. & Baglivio, Michael T., 2019. "Dynamic risk factors and timing of recidivism for youth in residential placement," Journal of Criminal Justice, Elsevier, vol. 60(C), pages 154-166.
    2. Rocque, Michael & Plummer-Beale, Judy, 2014. "In the eye of the beholder? An examination of the inter-rater reliability of the LSI-R and YLS/CMI in a correctional agency," Journal of Criminal Justice, Elsevier, vol. 42(6), pages 568-578.
    3. Cuevas, Celina & Wolff, Kevin T. & Baglivio, Michael T., 2017. "Self-efficacy, aspirations, and residential placement outcomes: Why belief in a prosocial self matters," Journal of Criminal Justice, Elsevier, vol. 52(C), pages 1-11.
    4. Giguère, Guy & Lussier, Patrick, 2016. "Debunking the psychometric properties of the LS\CMI: An application of item response theory with a risk assessment instrument," Journal of Criminal Justice, Elsevier, vol. 46(C), pages 207-218.
    5. Janssen-de Ruijter, E.A.W. & Mulder, E.A. & Bongers, I.L. & Vermunt, J.K. & van Nieuwenhuizen, Ch., 2021. "One is not the other: Predicting offending after discharge from secure residential care of male adolescents with four risk profiles," Journal of Criminal Justice, Elsevier, vol. 72(C).
    6. Vaughn, Michael G. & Salas-Wright, Christopher P. & Maynard, Brandy R. & Qian, Zhengmin & Terzis, Lauren & Kusow, Abdi M. & DeLisi, Matt, 2014. "Criminal epidemiology and the immigrant paradox: Intergenerational discontinuity in violence and antisocial behavior among immigrants," Journal of Criminal Justice, Elsevier, vol. 42(6), pages 483-490.

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    2. Morgan, Robert D. & Kroner, Daryl G. & Mills, Jeremy F. & Serna, Catherine & McDonald, Brendan, 2013. "Dynamic risk assessment: A validation study," Journal of Criminal Justice, Elsevier, vol. 41(2), pages 115-124.
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