Reconsidering Domestic Violence Recidivism: Individual and Contextual Effects of Court Dispositions and Stake in Conformity in Hamilton County, Ohio, 1993-1998

This study examined empirical relationships between various
court dispositions and the prevalence, incidence, and delay of
domestic violence recidivism. It built on past research by examining
the possible effects of formal and informal social controls at the
individual level, as well as the contextual effects of community
characteristics on individual behavior. The researchers collected
information on 3,662 suspects arrested for misdemeanor domestic
violence (specifically, assault against an intimate) in Hamilton
County, Ohio, during August 1, 1993, to October 31, 1993, and January
1, 1995, to December 31, 1996. All arrestees in the sample were
tracked until June 1998. The dataset includes information pertaining
to demographic and background characteristics of suspects (e.g., race,
age, means of support, education, employment, marital status,
residential stability, number of children the suspect had, and if the
suspect lived with a spouse and/or children at arrest), their criminal
histories (prior convictions for misdemeanors and felonies, prior
incarceration, alcohol/drug addiction, and pending charges), how their
cases were disposed (e.g., no charges filed, charges dropped,
acquitted at trial, sentenced to an offender program, probation, or
jail), rearrests for domestic violence that occurred between the
initial arrest and May 31, 1998, and the number of months that elapsed
between case disposition and rearrest.

本研究旨在检验各类法庭处置方式与家庭暴力再犯的现患率、新发率及时间延迟特征之间的实证关联。本研究基于既往研究拓展分析，同时考察了个体层面正式与非正式社会控制的潜在影响，以及社区特征对个体行为的情境效应。研究人员收集了1993年8月1日至1993年10月31日、1995年1月1日至1996年12月31日期间，美国俄亥俄州汉密尔顿县因轻罪家庭暴力（特指针对亲密伴侣的袭击行为）被捕的3662名嫌疑人的相关信息。样本中所有被捕者均被追踪至1998年6月。本数据集涵盖以下维度的信息：嫌疑人的人口统计学与背景特征（如种族、年龄、收入来源、受教育程度、就业状况、婚姻状况、居住稳定性、嫌疑人育有子女数量，以及被捕时是否与配偶及/或子女同住）；嫌疑人的犯罪前科（轻罪与重罪既往定罪记录、既往监禁经历、酒精/药物成瘾情况，以及待处理指控）；案件处置结果（如未提起公诉、撤销指控、庭审无罪释放、判处矫治项目、缓刑或监禁）；初次被捕至1998年5月31日期间发生的家庭暴力再捕情况，以及案件处置至再捕之间间隔的月数。