Prevalence estimates for COVID-19-related health behaviors based on the cheating detection triangular model
Our findings strongly support the assumption that the CDTRM successfully controlled for the validity-threatening influence of SDB in a survey on three COVID-19-related health behaviors. Consequently, the CDTRM appears to be a promising technique to increase estimation validity compared to conventional DQ for health-related behaviors, and sensitive attributes in general, for which a strong influence of SDB is to be expected.
Authors
- Pier Francesco Perri (ORCID: https://orcid.org/0000-0002-3432-800X)
- Shu‐Hui Hsieh (ORCID: https://orcid.org/0000-0003-4760-5245)
- Adrian Hoffmann (ORCID: https://orcid.org/0000-0002-8124-5565)
Institutions
- Research Center for Humanities and Social Sciences, Academia Sinica (TW)
- Heinrich Heine University Düsseldorf (DE)
- University of Calabria (IT)
Publication Details
- Journal
- BMC Public Health
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1186/s12889-024-19819-6
- Citations
- 1
- Primary Topic
- Survey Sampling and Estimation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.71