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Fries, D., Rossegger, A., Endrass, J., & Singh, J. P. (2013). The prediction of criminal recidivism using routinely available file information. International Journal of Psychological Research, 6(2), 8–14. https://doi.org/10.21500/20112084.671
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The editorial board reserves the right of amendments deemed necessary in the application of the rules of publication.
To give up copyright, the authors allow that, International Journal of Psychological Research, distribute the work more broadly, check for the reuse by others and take care of the necessary procedures for the registration and administration of copyright; at the same time, our editorial board represents the interests of the author and allows authors to re-use his work in various forms. In response to the above, authors transfer copyright to the journal, International Journal of Psychological Research. This transfer does not imply other rights which are not those of authorship (for example those that concern about patents). Likewise, preserves the authors rights to use the work integral or partially in lectures, books and courses, as well as make copies for educational purposes. Finally, the authors may use freely the tables and figures in its future work, wherever make explicit reference to the previous publication in International Journal of Psychological Research. The assignment of copyright includes both virtual rights and forms of the article to allow the editorial to disseminate the work in the manner which it deems appropriate.
The editorial board reserves the right of amendments deemed necessary in the application of the rules of publication.
Abstract
Objective. The aim of the present study was to cross-validate the investigation of Buchanan and Leese (2006) into the prediction of criminal recidivism. Method. The sample comprised offenders in the criminal justice system of the Canton of Zürich – Switzerland, who were discharged to the community. Participants were followed, and evidence of subsequent charges and convictions for both general and serious recidivism was investigated at fixed periods of 2.5, 6.5, and 10.5 years. The predictive validity of socio-demographic, criminal history, and legal class information was assessed using logistic regression as well as log-likelihood, receiver operating characteristic curve, and contingency analyses. Results. A multivariable model including age and criminal history information was found to produce the highest rates of predictive validity for general and serious recidivism. Conclusion. Information regularly accessible in forensic practice may be able to guide clinicians as to the recidivism risk level of their patients.
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References
Andrews, D. A., & Bonta, J. (2010). Rehabilitating criminal justice policy and practice. Psychology, Public Policy and Law, 16, 39-55.
Bonta, J., Law, M., & Hanson, K. (1998). The prediction of criminal and violent recidivism among mentally disordered offenders: A meta-analysis. Psychological Bulletin, 123, 123-142.
Buchanan, A., & Leese, M. (2006). Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic. The British Journal of Psychiatry, 188(5), 472-478.
Fazel, S., Singh, J. P., Doll, H., & Grann, M. (2012). The prediction of violence and antisocial behaviour: A systematic review and meta-analysis of the utility of risk assessment instruments in 73 samples involving 24,827 individuals. British Medical Journal, 345, e4692.
Hart, S. D., & Logan, C. (Eds.). (2011). Formulation of violence risk using evidence-based assessements: The structured professional judgement approach. Chichester, UK: John Wiley & Sons, Ltd.
Bonta, J., Law, M., & Hanson, K. (1998). The prediction of criminal and violent recidivism among mentally disordered offenders: A meta-analysis. Psychological Bulletin, 123, 123-142.
Buchanan, A., & Leese, M. (2006). Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic. The British Journal of Psychiatry, 188(5), 472-478.
Fazel, S., Singh, J. P., Doll, H., & Grann, M. (2012). The prediction of violence and antisocial behaviour: A systematic review and meta-analysis of the utility of risk assessment instruments in 73 samples involving 24,827 individuals. British Medical Journal, 345, e4692.
Hart, S. D., & Logan, C. (Eds.). (2011). Formulation of violence risk using evidence-based assessements: The structured professional judgement approach. Chichester, UK: John Wiley & Sons, Ltd.
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