2019, English, Book, Illustrated, Government publication edition: Predicting repeat domestic violence [electronic resource] : improving police risk assessment / Christopher Dowling and Anthony Morgan. Dowling, Christopher.

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Predicting repeat domestic violence : improving police risk assessment / Christopher Dowling and Anthony Morgan
 
Bookmark: https://trove.nla.gov.au/version/264887241
Physical Description
  • 1 electronic text ([16] p. : ill.) : PDF file.
Published
  • Canberra, ACT : Australian Institute of Criminology, 2019.
Language
  • English

Edition details

Title
  • Predicting repeat domestic violence : improving police risk assessment /​ Christopher Dowling and Anthony Morgan.
Author
  • Dowling, Christopher.
Other Authors
  • Morgan, Anthony.
  • Australian Institute of Criminology
Published
  • Canberra, ACT : Australian Institute of Criminology, 2019.
Medium
  • [electronic resource]
Physical Description
  • 1 electronic text ([16] p. : ill.) : PDF file.
Series
Subjects
Summary
  • Police forces around Australia are increasingly using risk assessment tools to standardise and improve their responses to domestic violence incidents. This paper evaluates how well one tool - the Family Violence Risk Assessment Tool (FVRAT) - predicts repeat domestic violence in the short term. FVRAT was introduced into the Australian Capital Territory in 2017 and features 37 questions regarding the severity of the most recent incident, characteristics of the relationship between the offender and victim, the couple's history of violence, and the offender's criminal history and mental health issues. These items are summed to produce a score reflecting the likelihood of repeat domestic violence. The paper looked at re-offending within 6 months among a sample of 350 unique cases of domestic violence from between March and December 2017. The evaluation found that FVRAT is not a strong predictor of repeat domestic violence, with predictions only marginally better than chance. However, when the FVRAT was refined to its 10 most important items, it was markedly more accurate than the original version. This refinement would improve its predictive validity while giving frontline police a tool that is quicker and easier to use.
Notes
  • Caption title.
  • "October 2019"
  • Includes bibliographical references (p. 14-15)
Technical Details
  • Mode of access: via the internet.
Language
  • English
ISBN
  • 9781925304053 (online)
Libraries Australia ID
Contributed by
Libraries Australia

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