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Dashing Hopes? the Predictive Accuracy of Domestic Abuse Risk Assessment by Police

Bibliographic Data

ID8400541
AuthorsEmily Turner (0000-0003-1302-3589, University of Manchester, corresponding author), Juanjo Medina (0000-0003-4407-8830, University of Manchester), Gavin Brown (0000-0003-2555-4192, University of Manchester)
Year2019
Volume59
Issue5
Pages1013-1034
Publication date2019-08-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe British Journal of Criminology (JOURNAL)
Journal identifiersISSN: 0007-0955 • E-ISSN: 1464-3529
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/bjc/azy074
OpenAlexW2907935345
LanguageEN
Citations received29
References cited40

The Domestic Abuse, Stalking and Honour Based Violence (DASH) form is a standardized risk assessment implemented across most UK police forces. It is intended to facilitate an officer’s structured professional judgment about the risk a victim faces of serious harm at the hand of their abuser. Until now, it has been an open question whether this tool works in practice. Here, we present the largest scale European study, making the case that the risk assessment tool is underperforming. Each element of the DASH questionnaire is, at best, weakly predictive of revictimization. Officer risk predictions based on DASH are little better than random and a logistic regression model that predicts the same outcome using DASH only provides modest improvement in performance

Computer security · Criminology · Dash · Logistic regression · Officer · Political science · Predictive validity · Risk assessment · Stalking · Applied Psychology · Clinical Psychology · Computer Science · Crime Patterns and Interventions · Intimate Partner and Family Violence · Law · Medicine · Policing Practices and Perceptions · Psychology

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Unique citing works29
Citations per year4,83
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 28

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