Predicting Violence by Serious Wife Assaulters

By N. Hilton, Grant T. Harris, M. Rice. 2001

104 citations recorded by the source corpus.

Subfields: Clinical Psychology, Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/d64e38f5d1d3c6abb5ad5fc0ca6c55b732c13a1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. Min Yang
2. Jeremy Coid
3. Stephen C. P. Wong
4. J. Wormith
5. Jessica Woodhams
6. K. Geraghty
7. ToniaL. Nicholls
8. C. de Ruiter

In Health

1. Min Yang
2. Jeremy Coid
3. L. Jewell
4. Stephen C. P. Wong
5. J. Wormith

In Sociology and Political Science

1. Jeremy Coid
2. Min Yang
3. L. Jewell
4. Stephen C. P. Wong
5. J. Wormith
6. Jessica Woodhams
7. K. Geraghty
8. ToniaL. Nicholls

Citations in the corpus

• Variables Associated With Attrition From Domestic Violence Treatment Programs Targeting Male Batterers (2010, background): “Furthermore, it has been found that general offender risk assessments can be used to sufficiently predict partner abuse recidivism (Hanson & Wallace-Capretta, 2004; Hilton et al., 2001).”
• The efficacy of violence prediction: a meta-analytic comparison of nine risk assessment tools. (2010, background): “154 Hilton et al. (2001) 1 1 100.0 24.0 1 82.5 88 Violent recidivism vs. nonviolence 21.6 PCL-R 0.91 Correlation coefficient (unspecified) VRAG 1.13 (table continues) 751 THE EFFICACY OF VIOLENCE PREDICTION Table 1 (continued) Authors of study Country a Type of participants b % Male participants…”
• Identifying Three Types of Violent Offenders and Predicting Violent Recidivism While on Probation: A Classification Tree Analysis (2004, background): “Other researchers have taken a different approach and have addressed whether the VRAG can predict violent recidivism across different offender groups, including domestic batterers (Hilton et al., 2001).”