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

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 ri...

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Autor principal: Scanlan, Jessica M. (Autor)
Otros Autores: Yesberg, Julia A. ; Polaschek, Devon L. L. ; Fortune, Clare-Ann
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2020
En: Criminal justice and behavior
Año: 2020, Volumen: 47, Número: 3, Páginas: 251-270
Acceso en línea: Presumably Free Access
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Sumario: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.
ISSN:1552-3594
DOI:10.1177/0093854819896387