Indirect Questioning in Sample Surveys

  • Arijit Chaudhuri
  • Tasos C. Christofides

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Arijit Chaudhuri, Tasos C. Christofides
    Pages 1-7
  3. Arijit Chaudhuri, Tasos C. Christofides
    Pages 9-20
  4. Arijit Chaudhuri, Tasos C. Christofides
    Pages 21-27
  5. Arijit Chaudhuri, Tasos C. Christofides
    Pages 29-94
  6. Arijit Chaudhuri, Tasos C. Christofides
    Pages 95-113
  7. Arijit Chaudhuri, Tasos C. Christofides
    Pages 115-149
  8. Arijit Chaudhuri, Tasos C. Christofides
    Pages 151-171
  9. Back Matter
    Pages 173-177

About this book

Introduction

Indirect questioning is a crucial topic in surveys of human populations. When the issue is about a stigmatizing characteristic (for example about illegal drug use), standard survey methodologies are destined to fail because, as expected, people are not willing to reveal incriminating information or information violating their privacy.  Indirect questioning techniques have been devised so that the privacy of participants in a sample survey is protected and at the same time good estimates of certain parameters (e.g. the percentage of people in a certain community who use illegal drugs) can be delivered. The topic is modern and still under development.

Indirect Questioning in Sample Surveys represents a collection of the most important and recent techniques of indirect questioning, including various versions of randomized response, the item count technique, the nominative technique, the three-card method, non-randomized response models and negative surveys, while also exploring the key aspect of protecting privacy.

Keywords

62D05, 62P25 indirect questioning protection of privacy randomized response sampling design survey methodology

Authors and affiliations

  • Arijit Chaudhuri
    • 1
  • Tasos C. Christofides
    • 2
  1. 1.Indian Statistical Institute Applied Statistics UnitKolkataIndia
  2. 2.University of Cyprus Dept. of Mathematics and StatisticsNicosiaCyprus

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-36276-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-36275-0
  • Online ISBN 978-3-642-36276-7
  • About this book