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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).

Suggested Citation

  • 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.
    7. Lussier, Patrick & McCuish, Evan, 2024. "Revisiting the sexual recidivism drop in Canada and the United States: A meta-analysis of 468 empirical studies involving 388,994 individuals," Journal of Criminal Justice, Elsevier, vol. 92(C).

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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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