PCRA revisited: Testing the validity of the federal Post Conviction Risk Assessment (PCRA)

Psychological Services

Volumn 12, Issue 2, 2015, Pages 149-157

  Lowenkamp, Christopher T ^a   Holsinger, Alexander M ^b   Cohen, Thomas H ^a  

^a Administrative Office of the US Courts   (United States)

^b UNIVERSITY OF MISSOURI KANSAS CITY   (United States)

Author keywords

Ethnicity; PCRA; Prediction of violent behavior; Risk assessment; US probation

Indexed keywords

ADOLESCENT; ADULT; AGED; CRIME; DEVICES; FOLLOW UP; HUMAN; MIDDLE AGED; OFFENDER; PSYCHOMETRY; REPRODUCIBILITY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; VERY ELDERLY; VIOLENCE; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CRIME; CRIMINALS; FOLLOW-UP STUDIES; HUMANS; MIDDLE AGED; PSYCHOMETRICS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; VIOLENCE; YOUNG ADULT;

EID: 84929516690     PISSN: 15411559     EISSN: 1939148X     Source Type: Journal    
DOI: 10.1037/ser0000024     Document Type: Article

References (27)

1. Andrews, D., & Bonta, J. (1998). The psychology of criminal conduct (2nd ed.). Cincinnati, OH: Anderson.
2. Andrews, D. A., & Bonta, J. (2006). The psychology of criminal conduct (4th ed.). Cincinnati, OH: Anderson.
3. Andrews, D. A., & Bonta, J. (2010). Rehabilitating criminal justice policy and practice. Psychology, Public Policy and Law, 16, 39-55.
4. Andrews, D. A., Bonta, J., & Hoge, R. D. (1990). Classification for effective rehabilitation: Rediscovering psychology. Criminal Justice and Behavior, 17, 19-52. http://dx.doi.org/10.1177/0093854890017001004
5. Andrews, D. A., Bonta, J., & Wormith, J. S. (2011). The risk-needresponsivity model: Does adding the good lives model contribute to effective crime prevention? Criminal Justice and Behavior, 38, 735-755. http://dx.doi.org/10.1177/0093854811406356
6. Bonta, J. (1996). Risk-needs assessment and treatment. In A. T. Harland (Ed.), Choosing correctional options that work: Defining the demand and evaluating the supply (pp. 18-32). Thousand Oaks, CA: Sage.
7. Bonta, J., & Wormith, S. (2007). Risk and need assessment. In G. McIvor & P. Raynor (Eds.), Developments in social work with offenders (pp.131-152). London, England: Kingsley.
8. Burgess, E. W. (1928). Factors determining success or failure on parole. In A. Bruce, E. Burgess, & A. Harno (Eds.), Prediction and classification: Criminal justice decision making (pp. 205-239). Chicago, IL: University of Chicago Press.
9. Cohen, T., Lowenkamp, C. T., & VanBenschoten, S. (2014). Does change in risk matter?: Examining whether changes in risk characteristics influence recidivism outcomes. Unpublished manuscript.
10. Cohen, T., & VanBenschoten, S. (2014). Does the risk of recidivism for supervised offenders improve over time?: Examining changes in the dynamic characteristics of offenders under federal supervision. Federal Probation, 78, 41-79.
11. Desmarais, S. L., & Singh, J. P. (2013). Risk assessment instruments validated and implemented in correctional settings in the United States. Lexington, KY: Council of State Governments.
12. Durose, M., Cooper, A., & Snyder, H. (2014). Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Washington, DC: Bureau of Justice Statistics.
13. Eaglin, J. B., & Lombard, P. (1981). Statistical risk prediction as an aid to probation caseload classification. Federal Probation, 45, 25-32.
14. Gendreau, P., Little, T., & Goggin, C. (1996). A meta-analysis of the predictors of adult offender recidivism: What works! Criminology, 34, 575-608. http://dx.doi.org/10.1111/j.1745-9125.1996.tb01220.x
15. Haas, S. M., & DeTardo-Bora, K. A. (2009). Inmate reentry and the utility of the LSI-R in case planning. Corrections Compendium, 34, 11-16, 49-51, 54.
16. Hilbe, J. (2009). Logistic regression models. New York, NY: CRC Press.
17. Hoffman, P. B. (1994). Twenty years of operational use of a risk prediction instrument: The United States Parole Commission's salient factor score. Journal of Criminal Justice, 22, 477-494. http://dx.doi.org/10.1016/0047-2352(94)90090-6
18. Hubbard, D. J., & Pratt, T. C. (2002). A meta-analysis of the predictors of delinquency among girls. Journal of Offender Rehabilitation, 34, 1-13. http://dx.doi.org/10.1300/J076v34n03_01
19. Johnson, J., VanBenschoten, S., Robinson, C. R., & Lowenkamp, C. T. (2011). The construction and validation of the federal Post Conviction Risk Assessment (PCRA). Federal Probation, 75, 16-29.
20. Lowenkamp, C. T., Holsinger, A. M., Robinson, C. R., & Cullen, F. T. (2012). When a person isn't a data point: Making evidence-based practices work. Federal Probation, 76, 11-21.
21. Lowenkamp, C. T., Johnson, J. L., Holsinger, A. M., Vanbenschoten, S. W., & Robinson, C. R. (2013). The federal Post Conviction Risk Assessment (PCRA): A construction and validation study. Psychological Services, 10, 87-96. http://dx.doi.org/10.1037/a0030343
22. 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, 77-93. http://dx.doi .org/10.1177/0011128705281747
23. Lowenkamp, C. T., Latessa, E. J., & Smith, P. (2006). Does correctional program quality really matter? The impact of adhering to the principles of effective intervention. Criminology & Public Policy, 5, 575-594. http://dx.doi.org/10.1111/j.1745-9133.2006.00388.x
24. McGrath, R. E., & Meyer, G. J. (2006). When effect sizes disagree: The case of r and d. Psychological Methods, 11, 386-401. http://dx.doi.org/10.1037/1082-989X.11.4.386
25. Oleson, J. C., VanBenschoten, S., Robinson, C., Lowenkamp, C. T., & Holsinger, A. M. (2012). Actuarial and clinical assessment of criminogenic needs: Identifying supervision priorities among federal probation officers-A research note. Journal of Criminal Justice, 35, 239-248.
26. Schwalbe, C. S. (2007). Risk assessment for juvenile justice: A metaanalysis. Law and Human Behavior, 31, 449-462. http://dx.doi.org/10.1007/s10979-006-9071-7
27. Simourd, L., & Andrews, D. A. (1994). Correlates of delinquency: A look at gender differences. Forum on Corrections Research, 6, 26-31.