Stanley Warner's Contributions to Statistically Balanced Information Technology

Stephen E. Fienberg and Nuri Jazairi


Stanley Warner was widely known for the creation of the randomized response technique for asking sensitive questions in surveys. Over almost two decades he also formulated and developed statistical methodology for another problem, that of deriving balanced information in advocacy settings so that both positions regarding a policy issue can be fairly and adequately represented. We review this work, including two survey applications implemented by Warner in which he applied the methodology, and we set the ideas into the context of current methodological thinking.

Keywords: Advocate scoring; Bayes' Theorem; embedded experiment; logistic regression; survey analysis.

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