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Alternative Estimator in Dichotomous Randomized Response Technique
Communications in Mathematics and Statistics ( IF 0.9 ) Pub Date : 2018-08-25 , DOI: 10.1007/s40304-018-0145-x
O. S. Ewemooje , F. B. Adebola , G. N. Amahia

Obtaining correct responses to sensitive questions in social and behavioural researches is an ancient problem in survey research with respondents misreporting on sensitive behaviours or giving false response to protect themselves. This paper develops an alternative unbiased estimator by modifying the dichotomous randomized response technique model to tackle this problem. The proposed estimator was compared numerically with conventional ones by considering different practicable and suitable design choices. Proposed model was also considered when sampling with unequal probabilities with or without replacement. It was observed that the proposed estimator performs efficiently than the conventional ones. As the proposed model captures progressively more people involved in the sensitive attribute, the model outperforms other models considered. Therefore, social and behavioural researchers can now obtain correct and valid responses from sensitive behavioural researches with ease in order to make informed and reliable decisions.

中文翻译:

二分法随机响应技术中的替代估计量

在社会和行为研究中获得对敏感问题的正确答案是调查研究中的一个古老问题,被调查者错误地报告了敏感行为或提供了错误的答案以保护自己。本文通过修改二分法随机响应技术模型来解决此问题,从而开发出了另一种无偏估计器。通过考虑不同的可行和合适的设计选择,将拟议的估算器与常规估算器进行数值比较。当以不相等的概率进行抽样或不进行替代时,也考虑了建议的模型。可以看出,提出的估计器比常规估计器更有效。由于建议的模型逐渐捕获了更多涉及敏感属性的人,因此该模型的性能优于其他模型。因此,
更新日期:2018-08-25
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