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Asking sensitive questions indirectly
Abstract
We propose a new method for conducting surveys on sensitive topics which does not require direct answers from the respondents. It overcomes some of the difficulties associated with traditional randomized response techniques and is applicable to both qualitative and quantitative characteristics. Data collected using the proposed method are distributed according to a mixture distribution and the problem reduces to that of estimating a mixing proportion or a mixing distribution. The method can be extended easily to allow multiple trials. This enables us to improve the efficiency of our estimator without sacrificing respondent protection and at no increase in sampling cost.
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Citations
Cited by
Determinants of social desirability bias in sensitive surveys: a literature review
Krumpal, I. (2013) · Quality & Quantity · doi:10.1007/s11135-011-9640-9 · Cited by 2,860
Gopalakrishna, G., ter Riet, G., Vink, G., Stoop, I., Wicherts, J. M., & Bouter, L. M. (2022) · PLOS ONE · doi:10.1371/journal.pone.0263023 · Cited by 296
Metadata
- Authors
- KUK, A. Y. C.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1990
- Volume
- 77
- Issue
- 2
- Pages
- 436-438
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W1998704128
- Cited by
- 292
- References
- 0
- FWCI
- 1.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- KUK, A. Y. C. (1990). Asking sensitive questions indirectly. Biometrika. https://doi.org/10.1093/biomet/77.2.436
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
