The development of a screening scale for the prediction of violent offerder recidivism;Entwicklung eines screeninginstruments zur vorhersage der einschlägigen rückfalligkeit von Gewaltstraftatern

Monatsschrift fur Kriminologie und Strafrechtsreform

Volumn 93, Issue 5, 2010, Pages 346-360

  Rettenberger, Martin ^a   Monichweger, Michael ^b   Buchelle, Elvira ^a   Schilling, Frank ^a   Eher, Reinhard ^a  

^a Vollzugsdirektion   (Austria)

^b UNIVERSITY OF VIENNA   (Austria)

Author keywords

Recidivism; Risk assessment; Validity; Violence; Violent offenders

Indexed keywords

EID: 84856220451     PISSN: 00269301     EISSN: None     Source Type: Journal    
DOI: 10.1515/mks-2010-930503     Document Type: Article

References (51)

1. Andrews, D.A., Zinger, I., Hoge, R.D., Bonta, J., Gendreau, P. & Cullen, F.T. (1990). Does correctional treatment work? A psychologically informed meta-analysis. Criminology 28, 369-404. -.
2. Andrews, D.A. & Bonta, J. (2007). The Psychology of Criminal Conduct. Cincinnati. -.
3. Boer, D.P. (2006). Sexual offender risk assessment strategies: Is there a convergence of opinion yet? Sexual Offender Treatment 1, 1-4.
4. Boetticher, A., Krober, H.-L., Muller-lsbemer, R., Bohm, KM., Muller-Metz, R. & Wolf, T. (2007). Mindestanforderungen fiir Prognosegutachten. Forensische Psychiatrie, Psychologie, Kriminologie 1, 90-100.
5. Bonta, & Andrews, D.A. (2007). Risk-Need-Responsivity Model for Offender Assessment and Rehabilitation. Ottawa. -.
6. Campbell, M.A., French, S. & Gendreau, P. (2007). Assessing the Utility of Risk Assessment Tools and Personality Measures in the Prediction of Violent Recidivism for Adult Offenders (User Report 2007-04). Ottawa.
7. Cohen, J. (1992). A power primer. Psychological Bulletin 112, 155-159.
8. Dahle, K.-P. (2007). Methodische Grundlagen der Kriminalprognose. Forensische Psychiatrie, Psychologie, Kriminologie 1, 101-110.
9. Dahle, K.-P. (2005). Psychologische Kriminalprognose. Herbolzheim.
10. Dawes, R.M., Faust, D. & Meehl, P.E. (1989). Clinical versus actuarial judgement. Science 243, 1668-1674.
11. Egan, P. (1975). Signal Detection Theory and ROC Analysis. New York.
12. Eher, R., Rettenberger, M., Schilling, F. & Pfafflin, F. (2008). Validitat oder praktischer Nutzen? Riickfallvorhersagen mittels Static-99 und SORAG. Eine prospektive Riickfallstudie an 275 Sexualstraf- tatern. Recht & Psychiatrie 26, 79-88.
13. Eher, R. (2009). Zu den Aufgaben der Begutachtungs- und Evaluationsstelle fiir Gewalt- und Sexualstraftater im Osterreichischen Strafvollzug. Grundsatzliches, Ergebnisse und Ausblick. Kriminalpadagogische Praxis 37, 9-14.
14. Endrass Urbaniok, F., Held, L., Vetter, S. & Rossegger, A. (2009). Accuracy of the Static-99 in predicting recidivism in Switzerland. International Journal of Offender Therapy and Comparative Criminology 53, 482-490.
15. Fleiss, J.L. (1981). Statistical Methods for Rates and Proportions. New York. -.
16. Fleiss, J.L., Williams, J. B.W. & Du-bro, A.F. (1986). The logistic regression analysis of psychiatric data. Journal of Psychiatric Research 20, 195-209.
17. Grove, W.M. (2005). Clinical versus statistical prediction: The contribution of Paul E. Meehl. Journal of Clinical Psychology 61, 1233-1243.
18. Grove, W.M. & Meehl, P.E. (1996). Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical-statistical controversy. Psychology, Public Policy, and Law 2, 293-323.
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, 19-30.
20. Hanley, J.A. & McNeil, B.J. (1982). The meaning and use of the area under the Receiver Operating Characteristic (ROC) Curve. Radiology 143, 29-36.
21. Hanson, R.K. & Thornton, D. (2000). Improving risk assessment for sex offenders: A comparison of three actuarial scales. Law and Human Behavior 24, 119-136.
22. Hanson, R.K. & Thornton, D. (2003). Notes on the Development of Static-2002 (User Report 2003-01). Ottawa.
23. Hanson, R.K. & Morton- Bourgon, K. (2007). The Accuracy of Recidivism Risk Assessments for Sexual Offenders: A Meta-Analysis. Ottawa.
24. Hanson, R.K. (2008). What statistics should we use to report predictive accuracy? Crime Scene 14, 15-17.
25. Hanson, R.K, Bourgon, G., Helmus, L. & Hodgson, S. (2009). The principles of effective correctional treatment also apply to sexual offenders: A meta-analysis. Criminal Justice and Behavior 36, 865-891.
26. Hanson, R.K, Helmus, L. & Thornton, D. (2009). Predicting recidivism amongst sexual offenders: A multi-site study of Static-2002. Law and Human Behavior 33, publiziert erstmals online am 18. Juni 2009: DOI 10.1007/s 10979-009-9180-1.
27. Hanson, R.K. & Morton-Bourgon, K. (2009). The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies. Psychological Assessment 21, 1-21.
28. Hare, R.D. (2003). Manual for the Psychopathy- Checklist-Revised. Toronto.
29. Harris, G.T. & Rice, M.E. (2003). Actuarial assessment of risk among sex offenders. Annals of the New York Academy of Science 989, 198-210.
30. Hart, S.D., Michie, C. & Cooke, D.J. (2007). Precision of actuarial risk assessment instruments: Evaluating the Margins of Error* of group vs. individual predictions of violence. British Journal of Psychiatry 190, 60-65.
31. Hart, S.D. & Boer, D.P. (2009). Structured professional judgement guidelines for sexual violence risk assessment: The Sexual Violence Risk-20 (SVR-20) and Risk for Sexual Violence Protocol (RSVP), in: R.K.Otto & K.S. Douglas (eds.), Handbook of Violence Risk Assessment. Oxford.
32. Heilbrun, K. (2003). Principles of forensic mental health assessment: Implications for the forensic assessment of sexual offenders. Annals of the New York Academy of Science 989, 167-184.
33. Hirschi, T. & Gottfredson, M.R. (1983). Age and the explanation of crime. American Journal of Sociology 89, 552-584.
34. Hofinger, V., Neumann, A., Pilgram, A. & Stangl, W. (2009). Pilotbericht iiber den Strafvollzug 2008. Wien.
35. Hosmer, D.W. & Lemeshow, S. (2000). Applied Logistic Regression. New York.
36. Losel, F. & Bender, D. (1997). Strafta- terbehandlung: Konzepte, Ergebnisse, Probleme, in: M. Steller & R. Volbert (Hrsg.), Psychologie im Strafverfahren, 171-204. Bern.
37. Losel, F. (2001). Evaluating the effectiveness of correctional programs: Bridging the gap between research and practice, in: G.A. Bernfeld, D.P. Farrington & A.W. Leschied (eds.), Offender Rehabilitation in Practice. Implementing and Evaluating Effective Programs, 67-92. Chichester. -.
38. Meehl, P.E. (1954). Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence. Minneapolis.
39. Mossman, D. (1994) Assessing predictions of violence: Being accurate about accuracy. Journal of Consulting and Clinical Psychology 62, 783-792.
40. Muche, R., Ring, C. & Ziegler, C. (2005). Entwicklung und Validierung von Prognosemodellen auf Basis der logistischen Regression. Aachen.
41. Nafekh, M. & Motiuk, L.L. (2002). The Statistical Information on Recidivism- Revised 1 (SIR-R1) Scale: A Psychometric Examination. Ottawa.
42. Nedopil, N. (2005). Prognosen in der Forensischen Psychiatrie. Ein Handbuch fur die Praxis. Lengerich.
43. Quinsey, V.L., Harris, G.T., Rice, M.E. & Cormier, C. (2006). Violent Offenders: Appraising and Managing Risk. Washington, DC.
44. Rettenberger, M., Matches, A., Boer, D.P. & Eher, R. (2010). Prospective actuarial risk assessment: A comparison of five risk assessment instruments in different sexual offender subtypes. International Journal of Offender Therapy and Comparative Criminology 53, 169-186.
45. Rice, M.E. & Harris, G.T. (1995). Violent recidivism: Assessing predictive validity. Journal of Consulting and Clinical Psychology 63, 737-748.
46. Rice, M.E. & Harris, G.T. (2005). Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r. Law and Human Behavior 29, 615-620.
47. Sawyer, J. (1966). Measurement and prediction: Clinical and statistical. Psychological Bulletin 66, 178-200.
48. Seto, M.C. (2005). Is more better? Combining actuarial risk scales to predict recidivism among adult sex offenders. Psychological Assessment 17, \56-167.
49. Stadtland, C., Hollweg, M., Kleindienst, N., Dietl, J., Reich, U. & Nedopil, N. (2005). Risk assessment and prediction of violent and sexual recidivism in sex offenders: Long-term predictive validity of four risk assessment instruments. Journal of Forensic Psychiatry and Psychology 16, 92-108.
50. Thornton, D., Mann, R., Webster, S., Blud, L., Travers, R., Friendship, C. & Erikson, M. (2003). Distin-guishing and combining risks for sexual and violent recidivism. Annals of the New York Academy of Sciences 989, 225-225.
51. Urbaniok, F., Rinne, T., Held, L., Rossegger, A. & Endrass, J. (2008). Forensische Risikokalkulationen: Grundlegende methodische Aspekte zur Beurteilung der Anwendbarkeit und Va- liditat verschiedener Verfahren. Fortschritte der Neurologie Psychiatrie 76, 470-477.