测量严重暴力行为:比较英国队列中警察记录和自我报告的数据
Rosaleen P Cornish1,2, Alison Teyhan1, Kate Tilling1,2
1Population Health Sciences, Bristol Medical School, University of Bristol.
International journal of population data science
|June 12, 2025
概括
测量严重的暴力行为是一项挑战. 警方数据低估了暴力,研究参与偏见可能会低估观察性研究中的犯罪率.
科学领域:
- 犯罪学 犯罪学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 准确测量严重的暴力行为对于理解风险因素和后果至关重要.
- 自我报告的犯罪和警察记录的数据受到明显的偏见的影响,使准确的评估变得复杂.
- 现有的暴力测量方法在捕捉真正的流行率方面存在局限性.
研究的目的:
- 为了比较自我报告与警察记录的严重暴力行为在青春晚期和成年早期的风险.
- 调查队伍参与与警察记录的暴力之间的关联.
- 利用警察记录来归咎缺失的自我报告的暴力数据,并评估其对流行率估计的影响.
主要方法:
- 利用了来自阿文长距离家长和儿童研究 (ALSPAC) 和警察记录 (n = 12,662) 的相关数据.
- 使用描述性统计和后勤回归来分析暴力行为.
- 通过链式方程应用多重归算来解决缺失的自我报告的暴力数据.
主要成果:
- 自我报告的暴力发生率在性别和年龄 (17-25岁) 之间从3.2%到12.9%不等.
- 警方记录的严重暴力持续较低,男性高达1.7%,女性高达0.5% (17-18岁).
- 警方记录严重暴力的个人参与研究的比例较低,导致自报告的暴力发生率较高.
结论:
- 记录链接为测量结果提供了优势,无论研究参与率如何,但警方数据低于严重暴力.
- 观察性研究可能低估了暴力行为,因为警察记录的个人参与率较低.
- 虽然记录链接结合了不同数据源的优势,但警察和自我报告措施的固有局限性仍然存在.
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