Sensitive Questions in Online Surveys: An Experimental Evaluation of the Randomized Response Technique and the Crosswise Model
Marc Höglinger (),
Ben Jann () and
Andreas Diekmann ()
No 9, University of Bern Social Sciences Working Papers from University of Bern, Department of Social Sciences
Self-administered online surveys provide a higher level of privacy protection to respondents than surveys administered by an interviewer. Yet, studies indicate that asking sensitive questions is problematic also in self-administered surveys. Because respondents might not be willing to reveal the truth and provide answers that are subject to social desirability bias, the validity of prevalence estimates of sensitive behaviors from online surveys can be challenged. A well-known method to overcome these problems is the Randomized Response Technique (RRT). However, convincing evidence that the RRT provides more valid estimates than direct questioning in online surveys is still lacking. A new variant of the RRT called the Crosswise Model has recently been proposed to overcome some of the deficiencies of existing RRT designs. We therefore conducted an experimental study in which different implementations of the RRT, including two implementations of the crosswise model, were tested and compared to direct questioning. Our study is a large-scale online survey (N = 6,037) on sensitive behaviors by students such as cheating in exams and plagiarism. Results indicate that the crosswise-model RRT---unlike the other variants of RRT we evaluated---yields higher prevalence estimates of sensitive behaviors than direct questioning. Whether higher estimates are a sufficient condition for more valid results, however, remains questionable.
Keywords: online survey; sensitive questions; plagiarism; exam cheating; randomized response technique; crosswise model (search for similar items in EconPapers)
JEL-codes: C81 C83 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe and nep-exp
Date: 2014-10-15, Revised 2014-06-24
References: Add references at CitEc
Citations: View citations in EconPapers (6) Track citations by RSS feed
Downloads: (external link)
http://repec.sowi.unibe.ch/files/wp9/hoeglinger-jann-diekmann-2014.pdf working paper (application/pdf)
http://repec.sowi.unibe.ch/files/wp9/hoeglinger-ja ... -2014-supplement.pdf supplementary results and log files (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bss:wpaper:9
Access Statistics for this paper
More papers in University of Bern Social Sciences Working Papers from University of Bern, Department of Social Sciences
Bibliographic data for series maintained by Ben Jann ().