Evaluating the accuracy of survey data: a case study of COVID-19 vaccination rates in Germany
Survey-based estimates of COVID-19 vaccination rates should be interpreted with caution due to widespread inaccuracies, particularly overestimation. Probability mixed-mode and personal interview surveys produced more accurate estimates, underscoring the importance of robust survey methodologies. The fact that I found that adjustment weights enhanced accuracy highlights their value in survey research. These findings provide valuable insights for public health researchers and survey methodologists in designing and interpreting health-related survey data.
Authors
- Karolina von Glasenapp (ORCID: https://orcid.org/0009-0003-6552-2141)
Institutions
- GESIS - Leibniz Institute for the Social Sciences (DE)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1186/s12874-025-02702-2
- Primary Topic
- Survey Methodology and Nonresponse
- Type
- article
- Field-Weighted Citation Impact
- 0.00