An empirical modeling approach to recidivism classification

Criminal Justice and Behavior

Volumn 32, Issue 2, 2005, Pages 223-247

  Dow, Edward ^a   Jones, Charles ^a   Mott, Jack ^a  

^a Triant Psychometrics Corporation

Author keywords

Classification; Empirical modeling; High and low risk offenders; Recidivism; Risk factors

Indexed keywords

EID: 16844385779     PISSN: 00938548     EISSN: None     Source Type: Journal    
DOI: 10.1177/0093854804272892     Document Type: Article

References (34)

1. Andrews, D. A. (1982). The Level of Supervision Inventory (LSI): The first follow-up. Ottawa, Canada: Carleton University, Department of Psychology.
2. Barbaree, H. E., Seto, M. C., Langton, C. M., & Peacock, E. J. (2001). Evaluating the predictive accuracy of six risk assessment instruments for adult sex offenders. Criminal Justice and Behavior, 28, 490-521.
3. Baird, S. C., Heinz, R. C., & Bemus, B. J. (1979). The Wisconsin Case Classification/Staff Deployment Project: A two-year follow-up report. Madison, WI: Bureau of Community Corrections.
4. Baird, S. C., Henke, T., & Bemus, B. J. (1974). The Wisconsin workload deployment project: Final report. Madison, WI: Bureau of Community Corrections.
5. Billings, V. (Producer). (1990). Northrop/McDonnell Douglas: ATF-23 Project - Unclassified video [Videotape]. (Available from Triant Technologies Inc., 20 Townsite Road, 2nd floor, Nanaimo, BC, Canada, V9S 5T7)
6. Borum, R. (1996). Improving the clinical practice of violence: Risk assessment, technology, guidelines, and training. American Psychologist, 51, 945-956.
7. Clements, C. B. (1996). Offender classification: Two decades of progress. Criminal Justice and Behavior, 23, 121-143.
8. Dow, E. A. (1995). A comparative evaluation of discriminant analysis and the universal process model in counseling psychology. Unpublished doctoral dissertation, University of Wisconsin, Madison.
9. Epperson, D. L., Kaul, J. D., &Hesselton, D. (1998). Final report of the development of the Minnesota Sex Offender Screening Tool - Revised (MnSOST-R). Paper presented at the 17th Annual Research and Treatment Conference of the Association for the Treatment of Sexual Abusers, Vancouver, British Columbia, Canada.
10. Fowler, L. T. (1993). What classification for women? In American Correctional Association (Ed.), Classification: A tool for managing today's offenders (pp. 37-45). Arlington, VA: American Correctional Association.
11. Hanson, R. K. (1997). The development of a brief actuarial risk scale for sexual offence recidivism. Ottawa: Department of the Solicitor General of Canada.
12. Hanson, R. K., & Thornton, D. M. (1999). Static 99: Improving actuarial risk assessments for sex offenders. Ottawa: Public Works and Government Services Canada.
13. Hare, R. D. (1991). The Hare Psychopathy Checklist - Revised. Toronto, Canada: Multi-Health Systems.
14. Harris, G. T., Rice, M. E., & Quinsey, V. L. (1993). Violent recidivism of mentally disordered offenders: The development of a statistical prediction instrument. Criminal Justice and Behavior, 20, 315-335.
15. Hubbard, D. J., Travis, L. F., & Latessa, E. J. (2001). Case classification in community corrections: A national survey of the state of the art (NIJ Grant 98-IJ-CX-0008). Washington, DC: National Institute of Justice.
16. King, R., & Mott, J. (1990, August). Real-time LMR control parameter estimation using advanced adaptive synthesis. Paper presented at the proceedings of the 1990 International Fast Reactor Safety Meeting, Snowbird, UT.
17. King, R., Radtke, W., & Mott, J. (1988, August). Pattern recognition system application to plant life extension. Paper presented at the American Nuclear Society Topical Meeting on Nuclear Power Plant Life Extension, Snowbird, UT.
18. Kroner, D. G., & Mills, J. F. (2001). The accuracy of five risk appraisal instruments in predicting institutional misconduct and new convictions. Criminal Justice and Behavior, 28, 471-479.
19. Kropp, P. R., Hart, S. D., Webster, C. D., & Eaves, D. (1994). Manual for the Spousal Assault Risk Assessment Guide. Vancouver, Canada: The British Columbia Institute on Family Violence.
20. Lauen, R. J. (1997). Positive approaches to corrections: Research, policy and practice. Lanham, MD: American Correctional Association.
21. Mott, J., & Blanch, P. (1992, May). Feedwater flow estimation via sample-basedmodeling. Paper presented at the proceedings of the 8th Power Plant Dynamics, Control, and Testing Symposium, Knoxville, TN.
22. Mott, J., King, R., Monson, L., Olson, D., & Staffon, J. (1992, May). A universal fault-tolerant, non-linear analytic network for modeling and fault detection. Paper presented at the proceedings of the 8th Power Plant Dynamics, Control, and Testing Symposium, Knoxville, TN.
23. Mott, J., King, R., & Radtke, W. (1988, August). A generalized system state analyzer for plant surveillance. Paper presented at the proceedings of the American Nuclear Society/European Nuclear Society (ANS/ENS) International Topical meeting on Artificial Intelligence and other Innovative Computer Applications in the Nuclear Industry, Snowbird, UT.
24. Mott, J., & Young, R. (1987, September). Pattern-recognition software for detecting the onset of failures in complex systems. Paper presented at the proceedings of the 42nd Meeting of Mechanical Failures Prevention Group, National Bureau of Standards, Gaithersburg, MD.
25. Mott, J., Young, R., & King, R. (1987, August). Pattern-recognition software for plant surveillance. Paper presented at the proceedings of the ANS/ENS International Meeting on Nuclear Power Plant Operation, Chicago.
26. Singer, R., King, R., & Mott, J. (1989a, November). An analytical approach to achieving fault tolerance in nuclear power plant sensors. Paper presented at the American Nuclear Society Winter Meeting, San Francisco, CA.
27. Singer, R., King, R., & Mott, J. (1989b, September). Use of pattern recognition scheme to compensate for critical sensor failures. Paper presented at the proceedings of the First International Machinery Monitoring Diagnostic Conference, Las Vegas, NV.
28. Solomon, L., & Camp, A. T. (1993). The revolution in correctional classification. In American Correctional Association (ACA; Ed.), Classification: A tool for managing today's offenders (pp. 1-16). Lanham, MD: ACA.
29. Swets, J. A., Dawes, R. M., & Monahan, J. (2000). Better decisions through science. Scientific American, 283, 82-87.
30. Teranet IA Inc. (1992). ModelWare user's manual. Nanaimo, Canada: Author.
31. Walters, G. D., White, T. W., & Denney, D. (1991). The Lifestyle Criminality Screening Form: Preliminary data. Criminal Justice and Behavior, 18, 406-441.
32. Ward, A., & Dockerill, J. (1999). The predictive accuracy of The Violent Offender Treatment Program Risk Assessment Scale. Criminal Justice and Behavior, 26, 125-140.
33. Webster, C. D., & Menzies, R. J. (1993). Supervision in the deinstirutionalized community. In S. Hodgins (Ed.), Mental disorder and crime (pp. 22-38). Newbury Park, CA: Sage.
34. Webster, C. D., & Polvi, N. H. (1995). Challenging assessments of dangerousness and risk. In J. Ziskin (Ed.), Coping with psychiatric and psychological testimony (pp. 221-240). Marina del Rey, CA: Law and Psychology Press.