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 ...
In:
International Journal of Social Research Methodology
(2025), im Ersch. [online first: 2025-06-11]
| Annika Stein, Tobias Gummer, Elias Naumann, Björn Rohr, Henning Silber, Roman Auriga, Michael Bergmann, Arne Bethmann, Michael Blohm, Carina Cornesse, Pablo Christmann, Mustafa Coban, Jean Philippe Décieux, Britta Gauly, Caroline Hahn, Susanne Helmschrott, Oshrat Hochman, Johannes Lemcke, Dörte Naber, Steffen Pötzschke, Joss Roßmann, Jan-Lucas Schanze, Tobias Schmidt, Silke L. Schneider, Heike Spangenberg, Tobias Rettig, Mark Trappmann, Michael Weinhardt, Bernd Weiß
In:
Yuliya Kosyakova, Nina Rother, Sabine Zinn (Hrsg.) ,
Lebenssituation und Teilhabe ukrainischer Geflüchteter in Deutschland : Ergebnisse der IAB-BAMF-SOEP-Befragung ; Forschungsbericht 51
Nürnberg : IAB
S. 19-23
| Felix Süttmann, Elena Sommer
In:
Yuliya Kosyakova, Nina Rother, Sabine Zinn (Hrsg.) ,
Lebenssituation und Teilhabe ukrainischer Geflüchteter in Deutschland : Ergebnisse der IAB-BAMF-SOEP-Befragung ; Forschungsbericht 51
Nürnberg : IAB
S. 24-34
| Sabine Zinn, Elena Sommer, Andrea Marchitto, Philippa Cumming, Matteo Jacques Büsche
This study investigates researcher variability in computational reproduction, an activity for which it is least expected. Eighty-five independent teams attempted numerical replication of results from an original study of policy preferences and immigration. Reproduction teams were randomly grouped into a ‘transparent group’ receiving original study and code or ‘opaque group’ receiving only a method ...
In:
Royal Society Open Science
12 (2025), 241038., 23 S.
| Nate Breznau, Eike Mark Rinke, Alexander Wuttke, Philipp M. Lersch, Lea-Maria Löbel, Cristóbal Moya (et al.)
Artificial intelligence (AI) increasingly affects individuals’ private and professional lives. Importantly, both the acceptance and adoption of new AI technologies in society is heavily impacted by the attitudes that people hold; yet, there is currently limited information on how people perceive and intend to use AI at the national and demographic levels. Therefore, this study examined a random sample ...
In:
Telematics & Informatics
98 (2025), 102265, 9 S.
| Timo Gnambs, Jan-Philipp Stein, Sabine Zinn, Florian Griese, Markus Appel
Data quality is known to be compromised when respondents cognitively shortcut the survey response process. This satisficing behavior leads to inaccurate and unreliable responses that are hard to compensate after data collection. Thus, detecting and understanding survey satisficing is crucial for developing and implementing effective preventive measures in longitudinal data collection contexts. We use ...
Center for Open Science,
2025,
60 S.
(OSFPreprints)
| Julia Witton, Carina Cornesse
FAIRness of research data largely depends on the availability of rich and standardizedmetadata. While such metadata is commonly available at the study level, fine-grainedmetadata, especially for tabular scientific data, is often lacking (Wenzig/Han 2024). In aproject funded by KonsortSWD-NFDI4Society, three research data centers (SOEP, LIfBi,and DZHW) investigate what is required to convert existing ...
Berlin:
KonsortSWD,
2025,
16 S.
(Working Paper / KonsortSWD ; 12)
| Knut Wenzig, Andreas Daniel, Dominique Hansen, Tobias Koberg, Mihaela Tudose
In this article, we introduce the command beyondpareto, which estimates the extreme-value index for distributions that are Pareto-like, that is, whose upper tails are regularly varying and eventually become Pareto. The estimation is based on rank-size regressions, and the threshold value for the upper-order statistics included in the final regression is determined optimally by minimizing the asymptotic ...
In:
The Stata Journal
25 (2025), 1, S. 169–188
| Johannes König, Christian Schluter, Carsten Schröder, Isabella Retter, Mattis Beckmannshagen
Item nonresponse is a common issue in surveys. We implement an experiment to reduce nonresponse to income questions in an international household survey, looking at four different countries. Survey respondents are asked to report their exact household income. We randomize those who refuse to answer into two groups. In a follow-up question, the control group is asked to choose their income from a...