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Detecting Untruthful Answering in Randomized Response Sampling

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Abstract

This paper considers the problem of unbiasedly estimating the population proportion when the study variable is potential sensitive in nature. In order to protect the respondent’s privacy, various techniques of generating randomized response rather than direct response are available in the literature. But the theory concerning them is developed only under the hypothesis of completely truthful reporting. Actually, the occurrence of untruthful reporting is a prospect in dealing with highly sensitive matters such as abortion or socially deviant behaviors. Illustrating Warner’s [(1965), Journal of the American Statistical Association. 60: 63–69] randomized response technique we show how unbiased estimation of the population proportion can be extended to cover a case when some respondents may lie.

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Authors and Affiliations

  1. Department of Business Administration, Chungyu Institute of Technology, No. 40, Yi-Seventh Road, Keelung, Taiwan, 201, ROC

    Kuo-Chung Huang

  2. Department of Business Administration, Nanhua University, Dalin, Chiayi, Taiwan, 622, ROC

    Chun-Hsiung Lan & Mei-Pei Kuo

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  1. Kuo-Chung Huang
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  2. Chun-Hsiung Lan
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  3. Mei-Pei Kuo
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Correspondence to Kuo-Chung Huang.

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Huang, KC., Lan, CH. & Kuo, MP. Detecting Untruthful Answering in Randomized Response Sampling. Qual Quant 39, 659–669 (2005). https://doi.org/10.1007/s11135-005-1613-4

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  • DOI: https://doi.org/10.1007/s11135-005-1613-4

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