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Identifying key predictors of recidivism among offenders attending a batterer intervention program: A survival analysis

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Identifying key predictors of recidivism among offenders attending a batterer intervention program: A survival analysis

dc.contributor.author	Lila, Marisol
dc.contributor.author	Martín-Fernández, Manuel
dc.contributor.author	Gracia, Enrique
dc.contributor.author	López-Ossorio, Juan J.
dc.contributor.author	González, José L.
dc.date.accessioned	2019-12-13T18:45:46Z
dc.date.available	2019-12-13T18:45:46Z
dc.date.issued	2019
dc.identifier.citation	Lila, Marisol, Martín-Fernández, Manuel, Gracia, Enrique, López-Ossorio, Juan J. y González, José L. 2019 Identifying key predictors of recidivism among offenders attending a batterer intervention program: A survival analysis Psychosocial Intervention 28 3 157 167.
dc.identifier.uri	https://hdl.handle.net/10550/72448
dc.description.abstract	Strategies to reduce intimate partner violence against women (IPVAW) can be targeted at different levels. Batterer intervention programs (BIPs) are among the main treatment approaches for IPVAW offenders. The most common outcome used in the evaluation of BIP effectiveness is recidivism. Efforts to increase BIP effectiveness in reducing recidivism should focus on key predictive variables of this outcome. The aim of this study was to identify key predictors of official recidivism from a large set of variables drawn from a sample of IPVAW offenders court-mandated to a community-based BIP (N = 393), with a follow-up period of between 0 and 69 months. To this end, a survival analysis was conducted using four sets of variables: individual-level, relational- and contextual-level, violence-related, and intervention process-related variables. To include all variables in the analysis simultaneously, a Cox regression model was estimated with the adaptive least absolute shrinkage and selection operator (ALASSO). From a pool of eighty-nine variables, six were selected as key predictors of recidivism: dropout, risk of future violence against non-partners, family violence exposure, immigrant status, accumulation of stressful life events, and trait anger. The area under the receiving operator characteristic (ROC) curve was .808, indicating good prediction of the model. The key predictors of recidivism found in this study should be considered by professionals and researchers in the BIP field to improve their evaluation and intervention strategies. Practical implications for future research are also discussed.
dc.language.iso	eng
dc.relation.ispartof	Psychosocial Intervention, 2019, vol. 28, num. 3, p. 157-167
dc.subject	Violència psicològica
dc.subject	Dones maltractades
dc.subject	Psicologia social
dc.title	Identifying key predictors of recidivism among offenders attending a batterer intervention program: A survival analysis
dc.type	journal article	es_ES
dc.date.updated	2019-12-13T18:45:46Z
dc.identifier.doi	10.5093/pi2019a19
dc.identifier.idgrec	135302
dc.rights.accessRights	open access	es_ES