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Interrater Reliability and Predictive Validity of the Spousal Assault Risk Assessment - Version 3 (SARA-V3)
Claire Bryce1, Maddison Riachi1, Benjamin Spivak1
1Swinburne University of Technology & Forensicare, Hawthorn, VIC, Australia.
Assessment
|July 31, 2026
Summary
The Spousal Assault Risk Assessment Guide-Version 3 (SARA-V3) shows excellent total score reliability but variable reliability for Conclusory Opinions. These opinions have limited predictive validity for future intimate partner violence (IPV).
Area of Science:
- Forensic Psychology
- Criminology
- Risk Assessment
Background:
- Intimate partner violence (IPV) risk assessment is crucial for public safety and offender management.
- The Spousal Assault Risk Assessment Guide-Version 3 (SARA-V3) is a tool used to assess this risk.
- Evaluating the reliability and validity of risk assessment tools is essential for their effective implementation.
Purpose of the Study:
- To examine the interrater reliability of Conclusory Opinions generated by the SARA-V3.
- To assess the predictive validity of SARA-V3 Conclusory Opinions for future IPV.
- To compare the utility of SARA-V3 Conclusory Opinions with previous versions.
Main Methods:
- A pseudo-prospective design was employed.
- SARA-V3 assessments from 125 Australian males with prior IPV were coded.
- Predictive validity was evaluated using subsequent police-recorded IPV charges over a 4-year period.
Main Results:
- Total SARA-V3 scores demonstrated excellent interrater reliability (ICC = .94).
- Conclusory Opinions showed variable interrater reliability (ICC = .54–.92).
- Conclusory Opinions had limited ability to discriminate future IPV (AUC = .51–.61) with consistently low sensitivity.
Conclusions:
- Conclusory Opinions derived from SARA-V3 have limited predictive utility for recidivism in intimate partner violence.
- The low sensitivity suggests many high-risk individuals may be missed, impacting case prioritization.
- Significant limitations include the inability to rate Victim Vulnerability factors due to data constraints.
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