The Prediction of Criminal Recidivism Using Routinely Available File Information

Fries, Diana; Rossegger, Astrid; Endrass, Jérôme; Singh, Jay P.

The Prediction of Criminal Recidivism Using Routinely Available File Information

Dateien

Fries_0-378400.pdfGröße: 442.17 KBDownloads: 181

Datum

2013

Autor:innen

Fries, Diana

Rossegger, Astrid

Endrass, Jérôme

Singh, Jay P.

URI (zitierfähiger Link)

http://nbn-resolving.de/urn:nbn:de:bsz:352-0-378400

Link zur Lizenz

CC BY-NC-ND 4.0

Open Access-Veröffentlichung

Open Access Gold

Sammlungen

Psychologie

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

International Journal of Psychological Research. 2013, 6(2), pp. 8-14. ISSN 2011-2084. eISSN 2011-7922

Zusammenfassung

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.

Fachgebiet (DDC)

150 Psychologie

Zitieren

ISO 690

FRIES, Diana, Astrid ROSSEGGER, Jérôme ENDRASS, Jay P. SINGH, 2013. The Prediction of Criminal Recidivism Using Routinely Available File Information. In: International Journal of Psychological Research. 2013, 6(2), pp. 8-14. ISSN 2011-2084. eISSN 2011-7922

BibTex

@article{Fries2013Predi-38034,
  year={2013},
  title={The Prediction of Criminal Recidivism Using Routinely Available File Information},
  url={http://revistas.usb.edu.co/index.php/IJPR/article/view/671},
  number={2},
  volume={6},
  issn={2011-2084},
  journal={International Journal of Psychological Research},
  pages={8--14},
  author={Fries, Diana and Rossegger, Astrid and Endrass, Jérôme and Singh, Jay P.}
}

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The aim of the present study was to cross-validate the investigation of Buchanan and Leese (2006) into the prediction of criminal recidivism.&lt;br /&gt;&lt;br /&gt;&#xD;
Method&lt;br /&gt;&#xD;
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.&lt;br /&gt;&lt;br /&gt;&#xD;
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A multivariable model including age and criminal history information was found to produce the highest rates of predictive validity for general and serious recidivism.&lt;br /&gt;&lt;br /&gt;Conclusion&lt;br /&gt;Information regularly accessible in forensic practice may be able to guide clinicians as to the recidivism risk level of their patients.</dcterms:abstract>
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URL der Originalveröffentl.

http://revistas.usb.edu.co/index.php/IJPR/article/view/671

Prüfdatum der URL

2017-03-17

Universitätsbibliographie

Ja