Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Uncovering a blind spot in sensitive question research : false positives undermine the crosswise-model RRT
Authors : Höglinger, Marc
Diekmann, Andreas
DOI : 10.1017/pan.2016.5
Published in : Political Analysis
Volume(Issue) : 25
Issue : 1
Pages : 131
Pages to: 137
Issue Date: 2017
Publisher / Ed. Institution : Cambridge University Press
ISSN: 1047-1987
Language : English
Subject (DDC) : 000: Generalities and science
Abstract: Validly measuring sensitive issues such as norm violations or stigmatizing traits through self-reports in surveys is often problematic. Special techniques for sensitive questions like the Randomized Response Technique (RRT) and, among its variants, the recent crosswise model should generate more honest answers by providing full response privacy. Different types of validation studies have examined whether these techniques actually improve data validity, with varying results. Yet, most of these studies did not consider the possibility of false positives, i.e., that respondents are misclassified as having a sensitive trait even though they actually do not. Assuming that respondents only falsely deny but never falsely admit possessing a sensitive trait, higher prevalence estimates have typically been interpreted as more valid estimates. If false positives occur, however, conclusions drawn under this assumption might be misleading. We present a comparative validation design that is able to detect false positives without the need for an individual-level validation criterion — which is often unavailable. Results show that the most widely used crosswise-model implementation produced false positives to a non-ignorable extent. This defect was not revealed by several previous validation studies that did not consider false positives — apparently a blind spot in past sensitive question research.
Fulltext version : Published version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Management and Law
Appears in Collections:Publikationen School of Management and Law

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