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Presenter Höglinger, Marc (or Jann, Ben); ETH Zurich and <strong>University</strong> of Bern Authors Andreas Diekmann, and Marc Höglinger,; ETH Zurich Ben Jann; <strong>University</strong> of Bern Title Asking sensitive questions: Testing a new alternative to the Randomized Response Technique Abstract Eliciting truthful answers to sensitive questions is an age-old challenge in survey research. Respondents tend to underreport socially undesired or illegal behavior and to overreport desired behavior. The often used Randomized Response Technique is intended to overcome this problem by adding some randomness to the answering process which provides full protection to respondents. In practice however, the Randomized Response Technique shows some serious drawbacks. Respondents’ compliance with the procedure is crucial to get unbiased results. If some respondents don’t understand the underlying principle and do not completely trust the technique they tend to give self- protective answers that can substantially distort results. A new alternative technique, the Crosswise Model, promises to be much more robust to noncompliance because there exists no obvious self-protective answering strategy. In addition, respondents never have to answer the sensitive question directly. The Crosswise Model was proposed by Yu, Tian, and Tang (2008, Metrika 67: 251–263) and has first been implemented in a survey by Jann, Jerke, and Krumpal (forthcoming, Public Opinion Quarterly). We tested the Crosswise Model in an experimental online-survey on plagiarism and cheating in exams with university students as subjects. The performance of the Crosswise Model is compared to that of the Randomized Response Technique and of direct questioning along several dimensions such as
the resulting prevalence estimates and respondents’ perception of the usability and privacy protection.
Page 1 and 2: The ASA Spring Methodology Conferen
Page 3 and 4: Friendships under study were formed
Page 5 and 6: the interplay of social background
Page 7 and 8: greatly inefficient. Only very few
Page 9 and 10: Data We use matched employer-employ
Page 11 and 12: KEY NOTE SPEAKER Snijders, Tom A.B.
Page 13 and 14: Presenter Hagenaars, Jacques A.P.;
Page 15 and 16: Presenter Croon, Marcel; Tilburg Sc
Page 17 and 18: Author and presenter Kuijpers, Rens
Page 19 and 20: Author and presenter Forcina, Anton
Page 21 and 22: Author and presenter Roverato, Albe
Page 23 and 24: Author and presenter Ark van der, A
Page 25 and 26: Author and presenter Fairbrother, M
Page 27 and 28: model are evaluated. Special attent
Page 29 and 30: Presenter Bennink, Margot; Dept. Me
Page 31 and 32: Presenter Züll, Cornelia & Scholz,
Page 33 and 34: Author and presenter Hoffmeyer-Zlot
Page 37 and 38: Author and presenter Mui, Phoebe; T
Page 39 and 40: Author and presenter Koppenol-Gonza
Page 41 and 42: similar multi-trait multi-method de
Page 43 and 44: Presenter Engel, Uwe; Dept. of Soci
Page 45 and 46: Presenter Schnell, Rainer; Institut
Page 47 and 48: References: Razum, Oliver; Zeeb, Ha
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Page 53 and 54: Presenter Kaczmirek, Lars; GESIS -
Page 55 and 56: Presenter Storfinger, Nina; Univers
Page 57 and 58: Presenter Engel, Uwe; Dept. of Soci
Page 61 and 62: Presenter Lochner, Katharina; cut-e
Page 63 and 64: efore retirement. We identify four
Page 65 and 66: provides an alternative interpretat
Page 67 and 68: Author and presenter Lospinoso, Jos
Page 69 and 70: Author and presenter Huisman, Mark;
Page 73 and 74: Author and presenter Wetzels, Ruud;
Page 75 and 76: Presenter Wesel van, Floryt; Dept.
Page 77 and 78: Author and presenter Kampen, Jarl;
Page 79 and 80: Author and presenter Noack, Marcel;
Page 81 and 82: Presenter Blettner, Daniela P.; Dep
Page 83 and 84: Presenter Morren, Meike; Tilburg Sc
Page 85 and 86: Presenter Beuckelaer De, Alain; Rad
Page 87 and 88: Presenter Kankaraš, Miloš; Dept.
Page 91 and 92: Presenter Busse, Britta; Darmstadt
Page 93 and 94: Author and presenter Nieuwenhuyze,
Page 97 and 98: Author and presenter Gorter, Rosali
Page 99 and 100: Author and presenter Mittelhaëuser

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