Scanlan, JM;
Yesberg, JA;
Fortune, C-A;
Polaschek, DLL;
(2020)
Predicting Women's Recidivism Using the Dynamic Risk Assessment for Offender Re-Entry: Preliminary Evidence of Predictive Validity With Community-Sentenced Women Using a "Gender-Neutral" Risk Measure.
Criminal Justice and Behavior
, 47
(3)
pp. 251-270.
10.1177/0093854819896387.
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Abstract
Although men and women share risk factors for offending, some scholars suggest these factors operate differently across gender and that women-specific risk factors are neglected in existing “gender-neutral” risk assessment tools. This article explored the predictive validity of one gender-neutral risk assessment tool—the Dynamic Risk Assessment for Offender Re-Entry (DRAOR)—with matched samples of women and men serving community supervision sentences. Total DRAOR scores had comparative predictive validity across gender. For women and men, the DRAOR predicted reconviction over a static risk measure. The findings support the general premise of gender neutrality, but do not necessarily suggest the DRAOR, or gender-neutral tools more broadly, are the best tools for use with women.
| Type: | Article |
|---|---|
| Title: | Predicting Women's Recidivism Using the Dynamic Risk Assessment for Offender Re-Entry: Preliminary Evidence of Predictive Validity With Community-Sentenced Women Using a "Gender-Neutral" Risk Measure |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/0093854819896387 |
| Publisher version: | https://doi.org/10.1177/0093854819896387 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Risk assessment, DRAOR, gender, recidivism, women |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10093698 |
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