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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Uncovering a blind spot in sensitive question research : false positives undermine the crosswise-model RRT
Autor/-in: Höglinger, Marc
Diekmann, Andreas
DOI: 10.1017/pan.2016.5
10.21256/zhaw-9064
Erschienen in: Political Analysis
Band(Heft): 25
Heft: 1
Seite(n): 131
Seiten bis: 137
Erscheinungsdatum: 2017
Verlag / Hrsg. Institution: Cambridge University Press
ISSN: 1047-1987
1476-4989
Sprache: Englisch
Fachgebiet (DDC): 000: Allgemeines und Wissenschaft
Zusammenfassung: 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.
Weitere Angaben: Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)
URI: https://digitalcollection.zhaw.ch/handle/11475/9064
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Management and Law
Enthalten in den Sammlungen:Publikationen School of Management and Law

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Höglinger, M., & Diekmann, A. (2017). Uncovering a blind spot in sensitive question research : false positives undermine the crosswise-model RRT. Political Analysis, 25(1), 131–137. https://doi.org/10.1017/pan.2016.5
Höglinger, M. and Diekmann, A. (2017) ‘Uncovering a blind spot in sensitive question research : false positives undermine the crosswise-model RRT’, Political Analysis, 25(1), pp. 131–137. Available at: https://doi.org/10.1017/pan.2016.5.
M. Höglinger and A. Diekmann, “Uncovering a blind spot in sensitive question research : false positives undermine the crosswise-model RRT,” Political Analysis, vol. 25, no. 1, pp. 131–137, 2017, doi: 10.1017/pan.2016.5.
HÖGLINGER, Marc und Andreas DIEKMANN, 2017. Uncovering a blind spot in sensitive question research : false positives undermine the crosswise-model RRT. Political Analysis. 2017. Bd. 25, Nr. 1, S. 131–137. DOI 10.1017/pan.2016.5
Höglinger, Marc, and Andreas Diekmann. 2017. “Uncovering a Blind Spot in Sensitive Question Research : False Positives Undermine the Crosswise-Model RRT.” Political Analysis 25 (1): 131–37. https://doi.org/10.1017/pan.2016.5.
Höglinger, Marc, and Andreas Diekmann. “Uncovering a Blind Spot in Sensitive Question Research : False Positives Undermine the Crosswise-Model RRT.” Political Analysis, vol. 25, no. 1, 2017, pp. 131–37, https://doi.org/10.1017/pan.2016.5.


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