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Record ID: 2d4c7c2e-7a10-4576-bc7f-cbb8cbf333d0
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Zhang, Yun | en |
dc.contributor.author | Corben, Simon | en |
dc.contributor.author | Howard, Mark | en |
dc.contributor.author | Wei, Zhigang | en |
dc.coverage.spatial | NSW | en |
dc.date.accessioned | 2023-03-06T05:52:50Z | - |
dc.date.available | 2023-03-06T05:52:50Z | - |
dc.date.issued | 2022 | en |
dc.identifier.citation | No. 53 | en |
dc.identifier.uri | https://anrows.intersearch.com.au/anrowsjspui/handle/1/22651 | - |
dc.description.abstract | Aim<br/ >To develop an automated risk assessment tool that can be used to rapidly estimate custody-based DV<br/ >offenders’ likelihood of DV recidivism, using official administrative data that are routinely collected by<br/ >Corrective Services NSW.<br/ ><br/ >Method<br/ >The model development sample included all males in NSW who served a custodial sentence associated with<br/ >one or more DV convictions between January 2013 and June 2017 (n = 6,100). A series of regression models<br/ >were used to test predictors of DV recidivism and develop optimal estimates of recidivism probability. The final<br/ >model was validated using bootstrapping techniques and various tests of predictive validity.<br/ ><br/ >Results<br/ >Significant predictors of DV recidivism included age; alcohol and other drug problems; markers of a more<br/ >extensive general criminal history; being released without the possibility of parole; and Indigenous status, as<br/ >well as DV-specific variables such as prior sentences involving DV convictions and breaches of protection<br/ >orders. The final estimation model, which we named the DV-TRAS, showed acceptable discrimination<br/ >performance for DV recidivism (AUC = .660; 95% CI = .646-.675) that was significantly better than routine<br/ >assessments of general recidivism risk. Bootstrapping techniques indicated satisfactory stability of the model<br/ >across simulated samples.<br/ ><br/ >Conclusion<br/ >The DV-TRAS appears to be a viable tool to support case management decision making for custody-based DV<br/ >offenders in NSW. Key tests of predictive validity indicated accuracy in discriminating DV recidivists that was<br/ >significantly better than general risk assessments, and similar to that of established manual assessments of<br/ >offence-specific risk, while allowing for substantial time and resource savings in generating estimates. | en |
dc.language | en | en |
dc.publisher | Corrective Services NSW | en |
dc.relation.ispartof | Research Bulletin | en |
dc.source | /mnt/conversions/anrows/files | en |
dc.subject | Perpetrators | en |
dc.title | Actuarial assessment of domestic violence recidivism risk among custody-based males: The Domestic Violence – Triage Risk Assessment Scale (DV-TRAS) | en |
dc.type | Report | en |
dc.identifier.catalogid | 17311 | en |
dc.identifier.url | https://correctiveservices.dcj.nsw.gov.au/csnsw-home/resources/research-and-reports/corrections-research-evaluation-and-statistics/research-bulletin.html | en |
dc.subject.keyword | new_record | en |
dc.subject.readinglist | NSW | en |
dc.subject.readinglist | Data development | en |
dc.subject.readinglist | Health, primary care and specialist service responses | en |
dc.subject.readinglist | Populations: Other | en |
dc.subject.readinglist | ANROWS Notepad 2022 June 30 | en |
dc.date.entered | 2022-06-24 | en |
dc.subject.list | ANROWS Notepad 2022 June 30 | en |
dc.subject.anratopic | Health, primary care and specialist service responses | en |
dc.subject.anratopic | Data and statistics | en |
Appears in Collections: | Reports |
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Capture.JPG | Capture.JPG | 85.56 kB | JPEG | View/Open |
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