使用隐性阶级分析来识别需求类型学和犯罪复发的可能性,在妇女实施暴力
Lauren Belyea1, Shelley L Brown1, Marilyn Van Dieten2
1Carleton University, Ottawa, ON, Canada.
Journal of interpersonal violence
|April 29, 2024
概括
这项研究使用隐性阶级分析 (LCA) 识别了三个不同的暴力行为女性群体. 大多数妇女的风险低/需要低,这表明定制干预措施可以减少复发.
科学领域:
- 犯罪学 犯罪学
- 心理学 心理学 心理学
- 法医科学 法医科学 法医科学
背景情况:
- 了解女性暴力的异质性是有效治疗和减少重复犯罪的关键.
- 现有的类型学通常使用混合方法;像隐性类分析 (LCA) 这样的定量方法提供了客观性.
研究的目的:
- 识别使用LCA实施暴力的受司法影响的女性的不同子组.
- 根据已识别的子组,分析需求概况和重复犯罪结果.
主要方法:
- 隐性阶级分析 (LCA) 应用于加拿大西部3,773名受司法影响的妇女的档案数据.
- 确定了三种不同的暴力行为女性的个人资料.
主要成果:
- 出现了三种概况:只有亲密伴侣暴力 (IPV) (40.5%),有模式 (19.1%) 和孤立 (40.4%).
- 模式暴力群体表现出最大的犯罪历史和需求.
- 随着动态需求的数量增加,重复犯罪率增加;80.9%是低风险/低需求 (仅IPV或孤立).
结论:
- 研究结果支持针对暴力行为女性的风险分类和治疗策略.
- 干预的强度应与已识别的需求和风险水平保持一致,以有效地减少重复犯罪.
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