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.

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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
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article

Evaluating the accuracy of survey data: a case study of COVID-19 vaccination rates in Germany

Karolina von Glasenapp
BMC Medical Research Methodology
Survey Methodology and Nonresponse
article

Evaluating the accuracy of survey data: a case study of COVID-19 vaccination rates in Germany

Karolina von Glasenapp
article en

Abstract

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.

BMC Medical Research MethodologyVol. 25(1)
GESIS - Leibniz Institute for the Social Sciences (DE)
Openalex Percentile: Top 60%
Survey Methodology and Nonresponse
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