Survey Design and Quality During the COVID-19 Pandemic in Germany: An Assessment With 686 Social Science Surveys

Authors

DOI:

https://doi.org/10.18148/srm/2026.v20i1.8447

Keywords:

survey design, data quality, total survey quality, total survey error, COVID-19 pandemic, accuracy, interpretability, accessibility

Abstract

During the COVID-19 pandemic, there was a high demand for readily available but also reliable survey data. Overall, a comprehensive assessment of how survey data were collected and what their quality was remains missing. In this study, we provide a multi-dimensional quality assessment of social science surveys conducted during the COVID-19 pandemic in Germany (N=686). We assess survey quality based on three dimensions: accuracy (proxied by survey design), interpretability (referring to the quality of documentation), and accessibility of data (referring to the timely publication of results and data). Our results show that surveys varied considerably in these three quality dimensions over time. We found that surveys followed different purposes at different times of the pandemic: whereas early surveys focused on quickly producing results and traded other aspects of survey quality for this goal, later surveys were more focused on operating better-designed surveys and producing shareable data.

Author Biographies

Karolina von Glasenapp, GESIS – Leibniz Institute for the Social Sciences

Karolina von Glasenapp is a PhD student at GESIS - Leibniz Institute for the Social Sciences in Mannheim, Germany where she is currently involved in the SDCCP project (Survey Data Collection and the Covid-19 pandemic). Her research interests include survey quality and survey design, with a focus on large-scale assessments across the survey landscape.

Thomas Skora, GESIS – Leibniz Institute for the Social Sciences

Thomas Skora is a postdoctoral researcher at GESIS - Leibniz Institute for the Social Sciences in Mannheim, Germany. His current research focuses on survey practice and data quality in the context of the COVID-19 pandemic. In addition, he has a long-standing interest in the causes, manifestations and consequences of spatial mobility.

Tobias Gummer, GESIS – Leibniz Institute for the Social Sciences; University of Mannheim, School of Social Sciences, Germany

Tobias Gummer heads the team Family Surveys at GESIS – Leibniz Institute for the Social Sciences and is a Professor at the School of Social Sciences at the University of Mannheim. His methodological research interests include survey design, data quality, nonresponse error, response behavior, and prevention and correction methods for biases.

Elias Naumann, GESIS – Leibniz Institute for the Social Sciences

Elias Naumann is a senior researcher at GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany. He has been a researcher at the Mannheim Center for European Social Research (MZES) and the University of Mannheim before. In 2019-20, he was a JFK Memorial Fellow at the Center for European Studies at Harvard University and a Visiting Research Fellow at the European University Institute in Florence in 2016. His research interests include political sociology, comparative political economy, and methods of causal inference.

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Published

2026-04-10

How to Cite

von Glasenapp, K., Skora, T., Gummer, T., & Naumann, E. (2026). Survey Design and Quality During the COVID-19 Pandemic in Germany: An Assessment With 686 Social Science Surveys. Survey Research Methods, 20(1), 97–114. https://doi.org/10.18148/srm/2026.v20i1.8447

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