Validating the level of service inventory - Revised on a sample of federal probationers

Federal Probation

Volumn 70, Issue 2, 2006, Pages

  Flores, Anthony W ^a   Lowenkamp, Christopher T ^b   Smith, Paula ^b   Latessa, Edward J ^b  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35448972727     PISSN: 00149128     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (34)

1. Andrews, D., & Bonta, J. (1995). LSI-R: The Level of Service Inventory-Revis Ed. Toronto, ONT: Multi-Health Systems, Inc.
2. Andrews, D., & Bonta, J. (2003). The psychology of criminal conduct. Cincinnati: Anderson.
3. Andrews, D. A., Kiessling, Robinson, D., & Mickus, S. G. (1986). The risk principle of case classification: An outcome evaluation with young adult probationers. Canadian Journal of Criminology, 28 (4), 377-384.
4. Andrews, D., Zinger, I., Hoge, R., Bonta, J., Gendreau, P., & Cullen, F. (1990). Does correctional treatment work? A clinically relevant and psychologically informed meta-analysis. Criminology, 28 (3), 369-404.
5. Baird, C., Hines, C., and Bemus, B. (1979). The Wisconsin Case Classification/Staff Deployment Project: Two-Year Follow-Up Report. Madison, WI: Wisconsin Division of Corrections.
6. Bonta, J. L. (1989). Native inmates: Institutional response, risk, and needs. Canadian Journal of Criminology, 39, 49-62.
7. Bonta, J., & Motiuk, L. L. (1985). Utilization of an interview-based classification instrument: A study of correctional halfway houses. Criminal Justice and Behavior, 12 (3), 333-352.
8. Bonta, J., & Motiuk, L. L. (1990). Classification to halfway houses: A quasi-experimental evaluation. Criminology, 28, 497-506.
9. Brown, S. L. (2002). The dynamic prediction of criminal recidivism: A three wave prospective study. Unpublished dissertation, Queen's University, Kingston, Ontario, Canada.
10. Clements, C. B. (1996). Offender classification: Two decades of progress. Criminal Justice and Behavior, 23 (1), 121-143.
11. Cullen, F. T., Wright, J. P., & Applegate, B. K. (1996). Control in the community: The limits of reform? In A. T. Harland (Ed.), Choosing correctional options that work: Defining the demand and evaluating the supply (pp. 69-116). Newbury Park, CA: Sage.
12. Dowden, C, & Andrews, D. A. (1999a). What works for female offenders: A meta-analytic review. Crime and Delinquency, 45 (4), 438-452.
13. Dowden, C, & Andrews, D. A. (1999b). What works in young offender treatment: A metaanalysis. Forum on Corrections Research, 11, 21-24.
14. Dowdy, E. R., Lacy, M. G., & Unnithan, N. P. (2001). Correctional prediction and the Level of Service Inventory. Journal of Criminal Justice, 30, 29-39.
15. Gendreau, P., Little, T., & Goggin, C. (1996). A meta-analysis of the predictors of adult offender recidivism: What works? Criminology, 34, 575-607.
16. Glaze, L. E., & Palla, S. (2005). Probation and parole in the United States, 2004 (NCJ 210676). Bureau of Justice Statistics Bulletin. Washington, DC: U. S. Department of Justice.
17. Goggin, C, Gendreau, P., & Gray, G. (1998). Associates and social interaction. Forum on Corrections Research, 10 (3), 24-27.
18. Gottfredson, S., & Gottfredson, D. (1986). The accuracy of prediction models. In A. Blumstein, J. Cohen, & C. Visher (Eds.), Criminal careers and "career criminals" (pp. 212-290). Albany: SUNY.
19. Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000). Clinical versus mechanical prediction: A meta-analysis. Psychological Assessment, 12 (1), 19-30.
20. Holsinger, A. M., Lowenkamp, C. T., & Latessa, E. J. (2004). Validating the LSI-R on a sample of jail inmates. Journal of Offender Monitoring, Winter/Spring, 8-9.
21. Jones, D. A., Johnson, S., Latessa, E. J., & Travis, L. F. (1999). Case classification in community corrections: Preliminary findings from a national survey. Topics in Community Corrections, National Institute of Corrections, U. S. Department of Justice, Washington, D. C.
22. Latessa, E. (2003-2004). Best practices of classification and assessment. Journal of Community Corrections. Winter 2003-2004.
23. Lowenkamp, C. T., Holsinger, A. M., & Latessa, E. J. (2001). Risk/need assessment, offender classification, and the role of child abuse. Criminal Justice and Behavior, 28 (5), 543-563.
24. Lowenkamp, C. T. & Latessa, E. J. (2004a). Increasing the effectiveness of correctional programming through the risk principle: Identifying offenders for residential placement. Criminology and Public Policy, 4 (1), 501-528.
25. Lowenkamp, C. T. & Latessa, E. J. (2004b). Residential community corrections and the risk principle: Lessons learned in Ohio. Ohio Corrections Research Compendium, 2, 245-254.
26. Lowenkamp, C. T. & Latessa, E. J. (2005). The role of offender assessment tools and how to select them. For the Record, 4th quarter, 18-20
27. Meehl, P. E. (1954). Clinical versus statistical prediction. Minneapolis, MN: University of Minnesota Press.
28. Monahan, J. (1981). Predicting violent behavior. Beverly Hills, CA: Sage.
29. Mossman, D. (1994a). Assessing predictions of violence: Being accurate about accuracy. Journal of Consulting and Clinical Psychology, 62, 783-792.
30. Motiuk, L. L., Bonta, J., & Andrews, D. A. (1986). Classification in correctional halfway houses: The relative and incremental predictive criterion validities of the Megargee-MMPI and LSI systems. Criminal Justice and Behavior, 13-46.
31. Rice, M. E., & Harris, G. T. (1995). Violent recidivism: Assessing predictive accuracy. Journal of Consulting and Clinical Psychology, 63 (5), 737-748.
32. Taylor, G. (2001). Importance of developing correctional plans for offenders. Forum on Corrections Research, 13, 14-17.
33. United States Probation and Pretrial Services (2005). Year-in-review report: Fiscal year 2004. Washington D. C: Administrative Office of the United States Courts.
34. Wright, K., Clear, T., & Dickson, P. (1984). Universal application of probation risk assessment instruments: A critique. Criminology, 22 (1), 113-134.