摘要
在社会学、经济学、医学、心理学或政治学的许多抽样调查中,往往会涉及到一些具有敏感性的调查项目.如果直接询问受访者,由于涉及到个人隐私而使得他们拒绝回答甚至报告错误的答案.因此,发展合适的统计模型以鼓励受访者提供真实的回答且保护他们的隐私显得尤为重要.非随机化响应技术相较于传统的随机化响应技术具有可重复性、节省成本、应用范围广等优点.本文对近十年来提出的九种非随机化响应技术进行了回顾和比较,可为研究人员进行敏感性信息搜集与分析提供有用的选择.
In many social, economic, medical, psychological and political surveys, they often involve some highly sensitive questions. Since such questions refer to individuals’ privacy and may make them feel embarrassed, they are likely to refuse to respond or, even worse, provide false answers if been asked directly. Therefore, it is of great important to develop appropriate models to encourage truthful answers as well as protecting privacy. Compared to the conventional randomized response techniques, the nonrandomized response approaches have advantages such as the reproducibility, the cost economized, wide range of application and so on. In this paper, we make a brief review and comparison for the nine newly developed non-randomized response approaches during the last decade, aiming at guiding researchers to choose the most appropriate ways to collect sensitive information.
作者
刘寅
田国梁
LIU Yin;TIAN Guoliang(Department of Mathematical and Financial Statistics, Zhongnan University of Economics and Law, Wuhan, 430073, China;Department of Mathematics, Southern University of Science and Technology, Shenzhen, 518055, China)
出处
《应用概率统计》
CSCD
北大核心
2019年第2期200-217,共18页
Chinese Journal of Applied Probability and Statistics
基金
国家自然科学基金资助(批准号:11601524)
中南财经政法大学青年教师基金资助(批准号:31721811206)资助
关键词
敏感性抽样调查
随机化响应技术
非随机化响应技术
隐私保护度
surveys with sensitive questions
randomized response technique
non-randomized response techniques
degree of privacy protection