A variant of the parallel model for sample surveys with sensitive characteristics
A variant of the parallel model for sample surveys with sensitive characteristics
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DOI：
10.1016/j.csda.2013.05.003
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发表时间：
2013-11
期刊：
影响因子：
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通讯作者：
Yin Liu;G. Tian
中科院分区：
文献类型：
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作者：
Yin Liu;G. Tian
提出了一种新的非随机化响应(NRR)模型(称为并行模型的变种)。给出了调查设计和相应的统计推断，包括似然方法、贝叶斯方法和Bootstrap方法。理论和数值比较表明，在大多数可能的参数范围内，所提出的并行模型的变种都优于现有的两个NRR横向和三角形模型。给出了模型中可能出现的违规行为的处理框架。一个现有的旧金山、拉斯维加斯和波特兰的“性行为”调查的例子被用来演示所提出的统计分析方法。对香港大学的考试作弊行为进行了两次真实的调查，并用来说明所提出的设计和分析方法。
A newnon-randomized response(NRR) model (called a variant of the parallel model) is proposed. The survey design and corresponding statistical inferences including likelihood-based methods, Bayesian methods and bootstrap methods are provided. Theoretical and numerical comparisons showed that the proposed variant of the parallel model over-performs two existing NRR crosswise and triangular models for most of the possible parameter ranges. An outline for handling the possible non-compliance behavior in the proposed model is provided. An illustrative example from an existing survey on ‘sexual practices’ in San Francisco, Las Vegas and Portland is used to demonstrate the proposed statistical analysis methods. Two real surveys on the cheating behavior in examinations at the University of Hong Kong are conducted and are used to illustrate the proposed design and analysis methods.