Predicting domestic violence : (Record no. 6215)

MARC details
000 -LEADER
fixed length control field 02531nab a22002777a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151507.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190409s2019 xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AFVC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name van der Put, Claudia E.
9 (RLIN) 8289
245 ## - TITLE STATEMENT
Title Predicting domestic violence :
Remainder of title a meta-analysis on the predictive validity of risk assessment tools
Statement of responsibility, etc Claudia E. van der Put, Jeanne Gubbels and Mark Assink
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Elsevier,
Date of publication, distribution, etc 2019
500 ## - GENERAL NOTE
General note Aggression and Violent Behavior, Accepted manuscript, 1 April 2019
520 ## - SUMMARY, ETC.
Summary, etc Risk 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element DOMESTIC VIOLENCE
9 (RLIN) 203
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element INTIMATE PARTNER VIOLENCE
9 (RLIN) 431
650 #5 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 382
Topical term or geographic name as entry element META-ANALYSIS
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4928
Topical term or geographic name as entry element PREDICTIVE RISK MODELLING
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element RISK ASSESSMENT
9 (RLIN) 504
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name THE NETHERLANDS
9 (RLIN) 5203
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gubbels, Jeanne
9 (RLIN) 8290
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Assink, Mark
9 (RLIN) 8291
773 0# - HOST ITEM ENTRY
Title Aggression and Violent Behavior, Accepted manuscript, 1 April 2019
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Aggression and Violent Behavior
9 (RLIN) 4827
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1016/j.avb.2019.03.008">https://doi.org/10.1016/j.avb.2019.03.008</a>
Link text Read abstract
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal article

No items available.