Peterman Amber, Palermo Tia M, Handa Sudhanshu, Seidenfeld David
UNICEF Office of Research-Innocenti, Florence, Italy.
University of North Carolina at Chapel Hill, Department of Public Policy, Chapel Hill, NC, USA.
Health Econ. 2018 Mar;27(3):622-628. doi: 10.1002/hec.3588. Epub 2017 Sep 7.
Social scientists have increasingly invested in understanding how to improve data quality and measurement of sensitive topics in household surveys. We utilize the technique of list randomization to collect measures of physical intimate partner violence in an experimental impact evaluation of the Government of Zambia's Child Grant Program. The Child Grant Program is an unconditional cash transfer, which targeted female caregivers of children under the age of 5 in rural areas to receive the equivalent of US $24 as a bimonthly stipend. The implementation results show that the list randomization methodology functioned as planned, with approximately 15% of the sample identifying 12-month prevalence of physical intimate partner violence. According to this measure, after 4 years, the program had no measurable effect on partner violence. List randomization is a promising approach to incorporate sensitive measures into multitopic evaluations; however, more research is needed to improve upon methodology for application to measurement of violence.
社会科学家越来越多地致力于理解如何在家庭调查中提高数据质量以及对敏感话题的测量。在赞比亚政府儿童补助计划的一项实验性影响评估中，我们运用列表随机化技术来收集亲密伴侣身体暴力的相关测量数据。儿童补助计划是一项无条件现金转移计划，目标是农村地区5岁以下儿童的女性照料者，她们每两个月可领取相当于24美元的津贴。实施结果表明，列表随机化方法按计划发挥了作用，约15%的样本确定了亲密伴侣身体暴力的12个月患病率。根据这一测量结果，4年后该计划对伴侣暴力没有可测量的影响。列表随机化是将敏感测量纳入多主题评估的一种有前景的方法；然而，需要更多研究来改进应用于暴力测量的方法。
