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对马萨诸塞州家庭暴力罪犯样本中的犯罪和专业化的纵向考察。

A longitudinal examination of offending and specialization among a sample of Massachusetts domestic violence offenders.

机构信息

Appalachian State University, Boone, NC 28608, USA.

出版信息

J Interpers Violence. 2013 Feb;28(3):643-63. doi: 10.1177/0886260512455519. Epub 2012 Sep 7.

DOI:10.1177/0886260512455519
PMID:22960945
Abstract

A paucity of existing research focuses on longitudinal examinations of criminal trajectories among reoffenses committed by domestic violence offenders. Specifically, few studies have longitudinally assessed whether domestic violence offenders specialize, recidivating in domestic violence assault, or generalize, committing a range of personal and property crimes. Acknowledging these research deficiencies, the current study uses longitudinal data from a cohort of 317 batterers who were processed in a domestic violence court to investigate the trajectories of domestic violence arrests and nondomestic violence arrests over a 10-year period. The degree of overlap between domestic and nondomestic violence arrest trajectory groups is examined through a cross-tabulation and chi-square analysis. Logistic and multinomial regression models are applied to identify risk factors that distinguish trajectory groups. A PROC TRAJ procedure identifies two trajectory groups for domestic violence arrests (low and high rate) and three trajectory groups for nondomestic violence arrests (very low, low, and high rate). Results indicate that specialization among domestic violence offenders is rare-prior alcohol and drug crimes predict membership in the high-rate domestic violence arrest trajectory group and prior domestic violence arrests predict membership in both the low-rate and high-rate nondomestic violence arrest trajectories. Implications for future research and policy are discussed in this article.

摘要

现有研究很少关注家庭暴力犯罪者再次犯罪的犯罪轨迹的纵向研究。具体来说,很少有研究从纵向评估家庭暴力罪犯是否专业化,即重新犯罪为家庭暴力攻击,或泛化,即犯下一系列个人和财产犯罪。鉴于这些研究上的不足,本研究使用了一个由 317 名在家庭暴力法庭处理的施暴者组成的队列的纵向数据,来调查在 10 年期间家庭暴力逮捕和非家庭暴力逮捕的轨迹。通过交叉表和卡方分析来检查家庭暴力和非家庭暴力逮捕轨迹组之间的重叠程度。应用逻辑回归和多项回归模型来确定区分轨迹组的风险因素。PROC TRAJ 程序确定了家庭暴力逮捕的两个轨迹组(低和高比率)和非家庭暴力逮捕的三个轨迹组(非常低、低和高比率)。结果表明,家庭暴力罪犯的专业化现象很少见——先前的酒精和毒品犯罪预测了高比率的家庭暴力逮捕轨迹组的成员资格,而先前的家庭暴力逮捕则预测了低比率和高比率的非家庭暴力逮捕轨迹组的成员资格。本文讨论了这对未来研究和政策的影响。

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