A Plea for Indirect Questioning: Stigmatizing Issues of Social Relevance

Arijit Chaudhuri and Tasos C. Christofides
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Arijit Chaudhuri: Applied Statistics Unit Indian Statistical Institute
Tasos C. Christofides: University of Cyprus, Department of Mathematics and Statistics

Chapter Chapter 1 in Indirect Questioning in Sample Surveys, 2013, pp 1-7 from Springer

Abstract: Abstract Collecting data on human populations by means of sample surveys is not an easy task. Survey practitioners often experience difficulties in collecting reliable data due to various sources of nonsampling error and in particular due to nonresponse. In case the issues under investigation are of sensitive nature, such as issues on sexual orientation, tax evasion, or involvement in criminal activities, people are reluctant to participate, and even if they agree to participate, false or misleading answers are given by many of them. Indirect questioning techniques offer a solution to this problem. These are techniques designed in such a way that the information provided by a participant is not incriminating and thus his/her privacy is protected. However, based on the information collected from all participants, the investigator is able to estimate parameters of interest related to the sensitive characteristic. In this chapter we make a case in favor of the use of indirect questioning techniques. We briefly discuss hypothetical as well as real examples where the methodology presented in this book can be implemented.

Keywords: Academic Dishonesty; Sensitive Attribute; Microfinance Institution; Randomize Response Technique; Honest Answer (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-36276-7_1

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DOI: 10.1007/978-3-642-36276-7_1

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