1st Edition

Randomized Response and Indirect Questioning Techniques in Surveys

By Arijit Chaudhuri Copyright 2010
    228 Pages
    by Chapman & Hall

    228 Pages
    by Chapman & Hall

    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.

    Why We Need One More Monograph on Randomized Response

    Warner’s Randomized Response Technique
    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 Design
    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 Approach

    Optional Randomized Response Technique

    Protection of Privacy

    Quantitative Characteristics
    Review of Literature

    Other Indirect Questioning Techniques
    Item Count Technique
    Nominative Technique
    The Three-Cards Method

    Miscellaneous Techniques, Applications, and Conclusions

    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




    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.

    The book compiles the important mathematical contributions in the area of RR … readers interested in a summary of the statistical advances on RR will certainly find this book to be a good resource. … It is a well-written and edited book and I congratulate the author for his work.
    —Mariano Ruiz Espejo, Biometrics, December 2012