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

Abstract 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...

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Vydáno v:British journal of criminology Ročník 59; číslo 5; s. 1013 - 1034
Hlavní autoři: Turner, Emily, Medina, Juanjo, Brown, Gavin
Médium: Journal Article
Jazyk:angličtina
Vydáno: UK Oxford University Press 01.09.2019
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ISSN:0007-0955, 1464-3529
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Abstract Abstract 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.
AbstractList Abstract 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.
Author Turner, Emily
Medina, Juanjo
Brown, Gavin
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  surname: Turner
  fullname: Turner, Emily
  email: emily.turner@manchester.ac.uk
  organization: Centre for Criminology and Criminal Justice (CCCJ), School of Law, University of Manchester, UK
– sequence: 2
  givenname: Juanjo
  surname: Medina
  fullname: Medina, Juanjo
  organization: CCCJ, School of Law, University of Manchester, UK
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  givenname: Gavin
  surname: Brown
  fullname: Brown, Gavin
  organization: Machine Learning and Optimisation, School of Computer Science, University of Manchester, UK
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Copyright The Author(s) 2019. Published by Oxford University Press on behalf of the Centre for Crime and Justice Studies (ISTD). 2019
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Keywords domestic abuse
risk assessment
police
machine learning
predictive policing
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Snippet Abstract The Domestic Abuse, Stalking and Honour Based Violence (DASH) form is a standardized risk assessment implemented across most UK police forces. It is...
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Title Dashing Hopes? the Predictive Accuracy of Domestic Abuse Risk Assessment by Police
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