PDF(Pubmed)
Abstract：
We construct comparable indicators that measure the prevalence of recent intimate partner violence (IPV) using publicly available, integrated microdata within the IPUMS data collections across many countries. The objective of this work is to increase opportunities for comparative research by leveraging vast quantities of harmonized data. We use consistent and comparable variables that measure domestic violence in international health surveys. The most consistent indicators of domestic violence measure physical, psychological, and sexual IPV in the last 12 months. We imposed a consistent reference period and restricted to a comparable subpopulation where these differed across surveys. Aggregating IPV variables across surveys, without careful attention to question wording and subpopulations, may produce inconsistent measures leading to bias, over- or under-estimation of IPV prevalence, or spurious trends and associations. Using comparable indicators in microdata and studying the level, distribution, and covariates of IPV in multiple settings over time, we can better understand these phenomena and identify effective policy interventions.
摘要：
我们构建了可比较的指标来衡量近期亲密伴侣暴力(IPV)的患病率，在许多国家的IPUMS数据收集中集成了微数据。这项工作的目的是通过利用大量的统一数据来增加比较研究的机会。我们在国际健康调查中使用一致和可比的变量来衡量家庭暴力。最一致的家庭暴力指标衡量身体，心理,以及过去12个月的性IPV.我们施加了一致的参考期，并仅限于可比的亚群，这些亚群在不同的调查中有所不同。汇总跨调查的IPV变量，没有仔细注意问题的措辞和亚群，可能会产生不一致的措施，导致偏见，对IPV患病率的高估或低估，或者虚假的趋势和关联。利用微观数据中的可比指标，研究水平，分布，随着时间的推移，IPV在多个设置中的协变量，我们可以更好地理解这些现象，并确定有效的政策干预措施。
