Predicting juvenile recidivism using the San Diego regional resiliency check-up

Federal Probation

Volumn 73, Issue 3, 2009, Pages 46-49

  Pearl, Natalie ^a   Ashcroft, Rindee G R ^a   Geis, Kari A ^a  

^a San Diego County Probation Department   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77949529188     PISSN: 00149128     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Andrews, D. & Bonta, J. (1998). The psychology of criminal conduct. Cincinnati, OH: Anderson Publishing.
2. Baird, C. (2009). A Question of Evidence: A Critique of Risk Assessment Models Used in the Justice System. Madison, WI: National Council on Crime and Delinquency.
3. Bogue, B., Campbell, N., & Clawson, E. (2004). Implementing Evidence-Based Practice in Community Corrections: The Principles of Effective Intervention. Boston: Crime and Justice Institute.
4. Bonta, J., & Andrews, D. A. (2007). Risk, Need, Responsivity Model for Offender Assessment and Rehabilitation Canada.
5. Gottfredson, S. D., & Moriarty, L. J. (2006). Clinical Versus Actuarial Judgments in Criminal Justice Decisions: Should One Replace the Other? Federal Probation, 70(2).
6. Little, J. (n.d.). An Evaluation of the San Diego Risk and Resiliency Check Up: Social Science Data Analysis Center, Institute of Behavioral Science, University of Colorado, Boulder, Colorado.
7. Lowenkamp, C. T., & Latessa, E. J. (2004). Understanding the Risk Principle: How and Why Correctional Interventions Can Harm Low-Risk Offenders.
8. Turner, S., & Fain, T. (2006). Validation of the Risk and Resiliency Assessment Tool for Juveniles in the Los Angeles County Probation System. Federal Probation, 70(2), 49-57.
9. Vose, B., Cullen, F. T., & Smith, P. (2008). The Empirical Status of the Level of Service Inventory. Federal Probation, 72(3), 22-29.