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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

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. Green open access

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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.ucl.ac.uk/id/eprint/10093698
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