Quantifying the Information from a Randomized Response
by by Andrew A. Neath.
Randomized response is a method designed for obtaining usable data
on sensitive issues while protecting the privacy of those
surveyed. Textbooks on introductory statistics, mathematical
statistics, and sampling theory, among others, include examples of
these techniques. But the impression that a randomized response
completely hides sensitive information about the respondent is
incorrect. In this paper, we look to analyze the information on a
respondent divulged from such a survey.
survey sampling, relative risk, Bayesian analysis
Andrew A. Neath, firstname.lastname@example.org
Richard G. Graf,email@example.com
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (75080 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed 2198 times since July 24, 2006.
Return to the Home Page.