Randomized Response and Indirect Questioning Techniques in Surveys (Statistics: a Series of Textbooks and Monographs)

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Randomized Response and Indirect Questioning Techniques in Surveys (Statistics: a Series of Textbooks and Monographs)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 228 p.
  • 言語 ENG
  • 商品コード 9781138115422
  • DDC分類 300.727

Full Description

For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect Questioning Techniques in Surveys describes the current state of RR as well as emerging developments in the field. The author also explains how to extend RR to situations employing unequal probability sampling.

While the theory of RR has grown phenomenally, the area has not kept pace in practice. Covering both theory and practice, the book first discusses replacing a direct response (DR) with an RR in a simple random sample with replacement (SRSWR). It then emphasizes how the application of RRTs in the estimation of attribute or quantitative features is valid for selecting respondents in a general manner. The author examines different ways to treat maximum likelihood estimation; covers optional RR devices, which provide alternatives to compulsory randomized response theory; and presents RR techniques that encompass quantitative variables, including those related to stigmatizing characteristics. He also gives his viewpoint on alternative RR techniques, including the item count technique, nominative technique, and three-card method.

Contents

Why We Need One More Monograph on Randomized Response. Warner's Randomized Response Technique. Randomized Response Technique in General Sampling Design. Maximum Likelihood Approach. Optional Randomized Response Technique. Protection of Privacy. Quantitative Characteristics. Other Indirect Questioning Techniques. Miscellaneous Techniques, Applications, and Conclusions. Illustrative Simulated Empirical Findings. References. Index.

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