000 02531nab a22002777a 4500
999 _c6215
_d6215
005 20250625151507.0
008 190409s2019 xxu||||| |||| 00| 0 eng d
040 _aAFVC
100 _avan der Put, Claudia E.
_98289
245 _aPredicting domestic violence :
_ba meta-analysis on the predictive validity of risk assessment tools
_cClaudia E. van der Put, Jeanne Gubbels and Mark Assink
260 _bElsevier,
_c2019
500 _aAggression and Violent Behavior, Accepted manuscript, 1 April 2019
520 _aRisk assessment tools are increasingly being used to guide decisions about supervision and treatment of domestic violence perpetrators. However, earlier review studies showed that the predictive validity of most of these tools is limited, and is reflected in small average effect sizes. The present study aimed to meta-analytically examine the predictive validity of domestic violence risk assessment tools, and to identify tool characteristics that positively moderate the predictive validity. A literature search yielded 50 independent studies (N = 68,855) examining the predictive validity of 39 different tools, of which 205 effect sizes could be extracted. Overall, a significant discriminative accuracy was found (AUC = 0.647), indicating a moderate predictive accuracy. Tools specifically developed for assessing the risk of domestic violence performed as well as risk predictions based on victim ratings and tools designed for predicting general/violent criminal recidivism. Actuarial instruments (AUC = 0.657) outperformed Structured Clinical Judgment (SCJ) tools (AUC = 0.580) in predicting domestic violence. The onset of domestic violence (AUC = 0.744) could be better predicted than recurrence of domestic violence (AUC = 0.643), which is a promising finding for early detection and prevention of domestic violence. Suggestions for the improvement of risk assessment strategies are presented. (Authors' abstract). Record #6215
650 _aDOMESTIC VIOLENCE
_9203
650 _aINTIMATE PARTNER VIOLENCE
_9431
650 5 _9382
_aMETA-ANALYSIS
650 0 _94928
_aPREDICTIVE RISK MODELLING
650 4 _aRISK ASSESSMENT
_9504
651 _aTHE NETHERLANDS
_95203
700 _aGubbels, Jeanne
_98290
700 _aAssink, Mark
_98291
773 0 _tAggression and Violent Behavior, Accepted manuscript, 1 April 2019
830 _aAggression and Violent Behavior
_94827
856 _uhttps://doi.org/10.1016/j.avb.2019.03.008
_yRead abstract
942 _2ddc
_cARTICLE