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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