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https://doi.org/10.1080/13645579.2025.2508889

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Education bias in probability-based surveys in Germany: evidence and possible solutions

[journal article]

Stein, Annika
Gummer, Tobias
Naumann, Elias
Rohr, Björn
Silber, Henning
Auriga, Roman
Bergmann, Michael
Bethmann, Arne
Blohm, Michael
Cornesse, Carina
Christmann, Pablo
Coban, Mustafa
Décieux, Jean Philippe
Gauly, Britta
Hahn, Caroline
Helmschrott, Susanne
Hochman, Oshrat
Lemcke, Johannes
Naber, Dörte
Pötzschke, Steffen
Roßmann, Joss
Schanze, Jan-Lucas
Schmidt, Tobias
Schneider, Silke L.
Spangenberg, Heike
Rettig, Tobias
Trappmann, Mark
Weinhardt, Michael
Weiß, Bernd

Abstract

This paper outlines two studies on education bias in German probability-based surveys. Study 1 reviews data from 67 surveys across 19 survey programs conducted in Germany from 2000 to 2023. We found a consistent underrepresentation of individuals with a low level of formal education. We also found t... view more

This paper outlines two studies on education bias in German probability-based surveys. Study 1 reviews data from 67 surveys across 19 survey programs conducted in Germany from 2000 to 2023. We found a consistent underrepresentation of individuals with a low level of formal education. We also found that the transition to self-administered modes due to rising survey costs may exacerbate this bias in the future. In study 2, we use the results of a workshop with experts on probability-based surveys, to discuss various strategies to deal with this bias, including increased face-to-face contacts and incentives, while emphasizing the need for research on adapting survey designs. Our findings underscore the urgency for further research to understand the nonparticipation mechanisms among less educated individuals and develop effective countermeasures. We advocate for collaborative efforts among survey researchers, cross-country comparative research, and consideration of potential trade-offs with other data quality dimensions.... view less

Keywords
survey research; data capture; probability; sample; response behavior; data quality

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
Education bias; nonresponse; surveys; participation; survey mode

Document language
English

Publication Year
2026

Page/Pages
p. 197-214

Journal
International Journal of Social Research Methodology, 29 (2026) 2

ISSN
1464-5300

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2026 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.