"How Randomized Response Techniques Need not Be Confined to Simple Rand" by A. Chaudhuri
 

How Randomized Response Techniques Need not Be Confined to Simple Random Sampling but Liberally Applicable to General Sampling Schemes

Document Type

Book Chapter

Publication Title

Handbook of Statistics

Abstract

S.L. Warner, the pioneer in research on randomized responses (RRs) to gather and analyze sensitive and stigmatizing data, started specifically with samples selected exclusively by the simplest scheme of simple random sampling (SRS) with replacement (SRSWR) and most of his successors followed it. But subsequent study remarkably in 2001 and onward has decisively shown that this restriction is uncalled for. Noteworthy aspects of RRs are unbiased and sometimes approximately unbiased estimation of the proportions of people bearing undesirable features in human communities and also totals/means of real values of sensitive variables of social interest. How to protect privacy in respondents' disclosures and also how to adjust data analysis with options allowed to respond directly if no sensitivity is perceived are important points of note covering qualitative as well as quantitative data. Indirect but nonrandomized data gathering is also attended to. Bayesian analysis is also permitted. In caring for such diverse aspects sampling procedures are freely permitted. How it is achieved is a story briefly unfolded here.

First Page

17

Last Page

27

DOI

10.1016/bs.host.2016.01.003

Publication Date

1-1-2016

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