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Referierte Aufsätze Web of Science
An increasing number of social science surveys use split questionnaire designs to reduce questionnaire length, presenting only a subset of several questionnaire modules to each respondent while leaving out others. This approach results in large amounts of planned missing data that necessitates imputation. Research shows that imputation is most effective when each module covers various topics. Yet, ...
In:
International Journal of Social Research Methodology
(2026), im Ersch. [online first:2025-09-29]
| Julian B. Axenfeld, Christian Bruch, Christof Wolf
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Referierte Aufsätze Web of Science
Forced migration has intensified in the 21st century, driven by conflicts, persecution, and political instability in regions such as the Middle East, Afghanistan, the Horn of Africa, South-East Asia, Latin America and, most recently, Ukraine. Germany has become a primary destination for refugees within the European Union and one of the largest among the OECD countries. The IAB-BAMF-SOEP Refugee Survey, ...
In:
European Sociological Review
42 (2026), 1, S. 146–163
| Herbert Brücker, Yuliya Kosyakova, Nina Rother, Sabine Zinn, Elisabeth Liebau, Wenke Gider, Silvia Schwanhäuser, Manuel Siegert
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Referierte Aufsätze Web of Science
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
(2026), 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
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Weitere referierte Aufsätze
Despite the profound impact of artificial intelligence (AI) in diverse contexts, large-scale socio-economic panel studies have rarely addressed the use and evaluation of AI for individual respondents. Therefore, the Artificial Intelligence Experience and Attitude Survey (AIEAS) is introduced to measure awareness, experience, attitude valence, and usage intention regarding AI in the work, healthcare, ...
In:
Psychological Test Adaptation and Development
7 (2026), S. 27–41
| Timo Gnambs, Florian Griese, Sabine Zinn
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Referierte Aufsätze Web of Science
Previous research suggests that women tend to self-report higher life satisfaction and happiness, lower health status and trust, and more left-leaning political preferences than men. We revisit the gender gap in these outcome variables using random-effects meta-analysis, aggregating data across 39 countries surveyed in the European Social Survey (n ≈ 500,000). Measured in Cohen’s d units, women, on ...
In:
Scientific Reports
16 (2026), 3406, 12 S.
| Yifan Yang, Magnus Johannesson, Frank Fossen, Levent Neyse, Felix Holzmeister
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SOEP Brown Bag Seminar
This seminar introduces ambiguity, explains why it matters in economics, and discusses how ambiguity attitudes are typically measured in empirical research. Ambiguity plays an important role in decision-making, as most situations in life involve unknown outcomes or probabilities. However, people’s attitudes toward ambiguity are hard to measure precisely, as standard measures based on incentivized...
06.05.2026| Roy Kouwenberg, Mahidol University
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SOEP Brown Bag Seminar
Der englische Originaltitel des Seminars lautet: “Measuring Ambiguity Attitudes Reliably in Surveys”. Die Präsentation findet auf Englisch statt.
Eine kurze Zusammenfassung zum Vortrag ist nur auf der englischen Veranstaltungsseite verfügbar!
06.05.2026| Roy Kouwenberg, Mahidol University
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Referierte Aufsätze Web of Science
Young people with disability face significant barriers to stable employment. Yet, little is known about how early labor market experiences shape their long-term mental health. This study examines associations between early career insecurity and subsequent mental health trajectories, focusing on disability status as a key axis of inequality. We use nationally representative longitudinal data from the ...
In:
SSM - Population Health
34 (2026), 101912, 14 S.
| Sophia Fauser, Irma Mooi-Recic, Marissa Shields, Zoe Aitken, Anne Kavanagh
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SOEP Brown Bag Seminar
Comparisons of educational achievement across cohorts are frequently used to examine changes in educational performance and to evaluate the impact of societal or educational events, such as the COVID-19 pandemic. However, drawing causal inferences from observational data without strong experimental control remains challenging, as often no single clear methodological approach is universally...
27.05.2026| Timo Gnambs, Leibniz Institute for Educational Trajectories (LIfBi)
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Seminar
Multiple imputation of missing values in survey data analysis is a state-of-the-art technique. Typically, methods like multivariate imputation by chained equations (mice, van Buuren 2018) are employed, replacing missing values on a variable-by-variable basis. Generally, the information used for imputation comes from the survey dataset being analysed. Valid analysis results are achieved when the...
23.04.2026| Char Hilgers