• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Justice Quarterly >Comparing Methods for Examining Relationships Between Prison Crowding and Inmate Violence
【24h】

Comparing Methods for Examining Relationships Between Prison Crowding and Inmate Violence

机译：检查监狱拥挤与囚犯暴力之间关系的比较方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Studies of empirical relationships between indicators of prison crowding and inmate violence have uncovered null, negative, and positive relationships. These mixed findings may be due, in part, to cross-study differences in definitions of crowding, levels of analysis, and sample designs. We compared findings across some of the more popular approaches to study the relationship between facility crowding and the prevalence of inmate assaults in order to determine the implications of different methods for variation in estimates. Multi-level data from a national sample of 10,022 men confined in 203 state correctional facilities during 1997 were examined. Findings revealed differences across methods in the direction and significance of the crowding/assault relationship. These differences were then considered in order to derive a strategy for more uniform research on the topic. This strategy consists of including both total inmate population and design capacity as separate predictors in the same model, examination of tri-level data (inmates, facilities, and states) in order to control compositional differences in inmate populations across facilities and to remove confounding state-level differences in crowding levels and assault rates, and more careful consideration of secondary analyses of complex samples with sample weights.
机译：对监狱拥挤指标和犯人暴力之间的经验关系的研究发现，虚无，消极和积极的关系。这些混杂的发现可能部分归因于人群定义，分析水平和样本设计的交叉研究差异。我们比较了一些较流行的方法的发现，以研究设施拥挤与犯人袭击的发生率之间的关系，以确定不同方法对估计值的影响。对1997年期间被限制在203个州教养所中的10022名男子的全国样本进行了多级数据检查。研究结果揭示了各种方法在拥挤/殴打关系的方向和意义上的差异。然后考虑这些差异，以便得出对该主题进行更统一研究的策略。该策略包括在同一模型中将总囚犯人数和设计能力作为单独的预测因素包括在内，检查三级数据（囚犯，设施和州），以控制设施中囚犯人口的成分差异并消除混淆状态级别上的拥挤水平和攻击率差异，以及对带有样品权重的复杂样品的二次分析的更仔细考虑。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号