The Prediction of Criminal Recidivism Using Routinely Available File Information
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 commun...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de San Buenaventura
2014-01-01
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| Series: | International Journal of Psychological Research |
| Subjects: | |
| Online Access: | http://mvint.usbmed.edu.co:8002/ojs/index.php/web/article/view/666/718 |
| Summary: | 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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| ISSN: | 2011-2084 2011-7922 |