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

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

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dc.contributor.author Lila, Marisol
dc.contributor.author Martín Fernández, Manuel
dc.contributor.author Gracia Fuster, 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.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.rights.uri info:eu-repo/semantics/openAccess
dc.source Lila, Marisol Martín Fernández, Manuel Gracia Fuster, Enrique López Ossorio, Juan J. 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.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 info:eu-repo/semantics/article
dc.date.updated 2019-12-13T18:45:46Z
dc.identifier.doi https://doi.org/10.5093/pi2019a19
dc.identifier.idgrec 135302

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