A note of proposed privacy measures in randomized response models

Abstract

Randomized response (say, RR) techniques on survey are used for collecting data on sensitive issues while trying to protect the respondents' privacy. The degree of confidentiality will clearly determine whether or not respondents choose to cooperate. There have been many proposals for privacy measures with very different implications for an optimal model design. These derived measures of protection privacy involves both conditional probabilities of being perceived as belonging to the sensitive group A under given an answer "yes" or "no", denoted as P(A|yes) and P(A|no). This motivates us to evaluate the proposed measures of protection privacy. This article shows that the most of the proposed measures of protection privacy are unified. © 2010 Springer-Verlag Berlin Heidelberg.