Randomized Response and Indirect Questioning Techniques in Surveys

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.

Arijit Chaudhuri is a professor in the Applied Statistics Unit at the Indian Statistical Institute. Dr. Chaudhuri has published nearly 90 research papers in a variety of journals. He is the co-author of Survey Sampling: Theory and Methods, Second Edition (CRC Press, March 2005). His research interests include survey sampling and reliability.

Why We Need One More Monograph on Randomized Response
Warner’s Randomized Response Technique Introduction Warner Model Simple Random Sampling with Replacement Chaudhuri and Pal’s Estimators Chaudhuri, Bose, and Dihidar’s Estimators Inverse SRSWR
Randomized Response Technique in General Sampling DesignIntroduction Warner’s Model Unrelated Question Model Kuk’s RRT Christofides’s RRT Forced Response Scheme Mangat and Singh’s RRT Mangat’s Scheme Mangat, Singh, and Singh’s Scheme Singh and Joarder’s Scheme Dalenius and Vitale’s Scheme Takahasi and Sakasegawa’s Scheme Modified by Pal Liu, Chow, and Mosley’s RRT
Maximum Likelihood ApproachIntroduction Illustrations
Optional Randomized Response TechniqueIntroduction IllustrationsComments
Protection of PrivacyIntroduction Illustrations
Quantitative CharacteristicsIntroduction Review of Literature
Other Indirect Questioning TechniquesIntroduction Item Count Technique Nominative Technique The Three-Cards Method
Miscellaneous Techniques, Applications, and ConclusionsIntroduction ReviewEpilogue
Illustrative Simulated Empirical Findings Warner’s RR versus Unrelated Question Model-Based RR in Unequal Probability Sampling as against Equal Probability Sampling Simulated Illustration of a Numerical Study of "Protection of Privacy" in RR Surveys Concluding Remarks
References
Index