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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3980
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dc.contributor.authorHöglinger, Marc-
dc.contributor.authorJann, Ben-
dc.date.accessioned2018-09-10T12:59:42Z-
dc.date.available2018-09-10T12:59:42Z-
dc.date.issued2018-
dc.identifier.issn1932-6203de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/10362-
dc.description.abstractSocial desirability and the fear of sanctions can deter survey respondents from responding truthfully to sensitive questions. Self-reports on norm breaking behavior such as shoplifting, non-voting, or tax evasion may thus be subject to considerable misreporting. To mitigate such response bias, various indirect question techniques, such as the randomized response technique (RRT), have been proposed. We evaluate the viability of several popular variants of the RRT, including the recently proposed crosswise-model RRT, by comparing respondents' self-reports on cheating in dice games to actual cheating behavior, thereby distinguishing between false negatives (underreporting) and false positives (overreporting). The study has been implemented as an online survey on Amazon Mechanical Turk (N = 6, 505). Our results from two validation designs indicate that the forced-response RRT and the unrelated-question RRT, as implemented in our survey, fail to reduce the level of misreporting compared to conventional direct questioning. For the crosswise-model RRT we do observe a reduction of false negatives. At the same time, however, there is a non-ignorable increase in false positives; a flaw that previous evaluation studies relying on comparative or aggregate-level validation could not detect. Overall, none of the evaluated indirect techniques outperformed conventional direct questioning. Furthermore, our study demonstrates the importance of identifying false negatives as well as false positives to avoid false conclusions about the validity of indirect sensitive question techniques.de_CH
dc.language.isoende_CH
dc.publisherPublic Library of Sciencede_CH
dc.relation.ispartofPLOS ONEde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject.ddc000: Allgemeines und Wissenschaftde_CH
dc.titleMore is not always better : an experimental individual-level validation of the randomized response technique and the crosswise modelde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitWinterthurer Institut für Gesundheitsökonomie (WIG)de_CH
dc.identifier.doi10.21256/zhaw-3980-
dc.identifier.doi10.1371/journal.pone.0201770de_CH
dc.identifier.pmid30106973de_CH
zhaw.funding.euNode_CH
zhaw.issue8de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end22de_CH
zhaw.pages.start1de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume13de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Höglinger, M., & Jann, B. (2018). More is not always better : an experimental individual-level validation of the randomized response technique and the crosswise model. Plos One, 13(8), 1–22. https://doi.org/10.21256/zhaw-3980
Höglinger, M. and Jann, B. (2018) ‘More is not always better : an experimental individual-level validation of the randomized response technique and the crosswise model’, PLOS ONE, 13(8), pp. 1–22. Available at: https://doi.org/10.21256/zhaw-3980.
M. Höglinger and B. Jann, “More is not always better : an experimental individual-level validation of the randomized response technique and the crosswise model,” PLOS ONE, vol. 13, no. 8, pp. 1–22, 2018, doi: 10.21256/zhaw-3980.
HÖGLINGER, Marc und Ben JANN, 2018. More is not always better : an experimental individual-level validation of the randomized response technique and the crosswise model. PLOS ONE. 2018. Bd. 13, Nr. 8, S. 1–22. DOI 10.21256/zhaw-3980
Höglinger, Marc, and Ben Jann. 2018. “More Is Not Always Better : An Experimental Individual-Level Validation of the Randomized Response Technique and the Crosswise Model.” Plos One 13 (8): 1–22. https://doi.org/10.21256/zhaw-3980.
Höglinger, Marc, and Ben Jann. “More Is Not Always Better : An Experimental Individual-Level Validation of the Randomized Response Technique and the Crosswise Model.” Plos One, vol. 13, no. 8, 2018, pp. 1–22, https://doi.org/10.21256/zhaw-3980.


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