Antisociality in intimate partner violence risk assessment: an analysis of the SARA-V2, SARA-V3, and B-SAFER

Purpose There is evidence that risk factors measuring aspects of antisociality contribute substantially to the prediction of recidivism in actuarial intimate partner violence (IPV) risk assessment tools, however, this has not been examined in structured professional judgment (SPJ) IPV risk assessment tools. This study aims to examine the representation and predictive accuracy of factors measuring antisociality in three SPJ tools. Design/methodology/approach The authors investigated items measuring antisociality in the SARA-V2, SARA-V3 and B-SAFER to assess IPV risk in a Canadian sample of 266 men who had previously committed a violent crime against their female partner. The authors examined whether the underlying factor structure empirically separated antisocial items from other items and analyzed the predictive accuracy of the antisocial factors. Findings Partial antisocial factors emerged in the SARA-V2 and SARA-V3, while a clear antisocial factor emerged in the B-SAFER. All antisocial factors demonstrated significant predictive values for IPV recidivism in area under the curve and Cox regression analyses. Originality/value This study offers a novel contribution to the field by using an empirical approach to examine antisocial factors in three commonly used SPJ tools. The findings underscore the need for a continued focus on antisocial traits and behaviors during IPV risk estimation, management and treatment.

Authors

Institutions

Publication Details

Journal
Journal of Criminal Psychology
Published
2025-05-08
DOI
https://doi.org/10.1108/jcp-03-2025-0028
Citations
1
Primary Topic
Intimate Partner and Family Violence
Type
article
Field-Weighted Citation Impact
2.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antisociality in intimate partner violence risk assessment: an analysis of the SARA-V2, SARA-V3, and B-SAFER

Liam Ennis, Kevin L. Nunes, Natalie Rajack, Anna Pham et al.
1 citations
Journal of Criminal Psychology
Intimate Partner and Family Violence
2.17
article

Antisociality in intimate partner violence risk assessment: an analysis of the SARA-V2, SARA-V3, and B-SAFER

Liam Ennis, Kevin L. Nunes, Natalie Rajack, Anna Pham, N. Zoe Hilton, Sandy Y. Jung
article en
1 citations

Abstract

Purpose There is evidence that risk factors measuring aspects of antisociality contribute substantially to the prediction of recidivism in actuarial intimate partner violence (IPV) risk assessment tools, however, this has not been examined in structured professional judgment (SPJ) IPV risk assessment tools. This study aims to examine the representation and predictive accuracy of factors measuring antisociality in three SPJ tools. Design/methodology/approach The authors investigated items measuring antisociality in the SARA-V2, SARA-V3 and B-SAFER to assess IPV risk in a Canadian sample of 266 men who had previously committed a violent crime against their female partner. The authors examined whether the underlying factor structure empirically separated antisocial items from other items and analyzed the predictive accuracy of the antisocial factors. Findings Partial antisocial factors emerged in the SARA-V2 and SARA-V3, while a clear antisocial factor emerged in the B-SAFER. All antisocial factors demonstrated significant predictive values for IPV recidivism in area under the curve and Cox regression analyses. Originality/value This study offers a novel contribution to the field by using an empirical approach to examine antisocial factors in three commonly used SPJ tools. The findings underscore the need for a continued focus on antisocial traits and behaviors during IPV risk estimation, management and treatment.

Journal of Criminal PsychologyVol. 15(6)
Department of National Defence (CA), Ontario Tech University (CA), Institute of Forensic Science (CN), Waypoint Centre for Mental Health Care (CA), Carleton University (CA), MacEwan University (CA)
Openalex Percentile: Top 15%
Intimate Partner and Family Violence
2.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.