SOEP Research: Survey Methodology and Data Science

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  • Other refereed articles

    Dealing with Censored Earnings in Register Data

    Earnings are often top-coded (right-censored) in administrative registers. The censoring threshold in the case of Germany is the limit value for social security contributions, leading to a substantial fraction of censoring: For example, about 12%of male workers inWest Germany are affected, rising to above 30% for highly educated prime-aged workers. This missing right tail of the earnings distribution ...

    In: Jahrbücher für Nationalökonomie und Statistik (2026), im Ersch. [online first:2025-05-23] | Mattis Beckmannshagen, Johannes König, Isabella Retter, Christian Schluter, Carsten Schröder, Yogam Tchokni
  • Refereed essays Web of Science

    Dynamic Networks of Social Contact, Social Desire, and Affect Across Time Scales

    Social relationships are central to well-being because they fulfill social affiliation needs. To explain how social needs are regulated, theories describe daily-life processes among social desire, social contact, and affect. Still, these processes remain empirically underexplored because of their complexity. In this study, we estimated multivariate associations of social desire and affect with social ...

    In: Journal of Personality and Social Psychology (2026), im Ersch. [online first: 2026-01-08] | Michael D. Krämer, Bernd Schaefer, Yannick Roos, David Richter, Cornelia Wrzus
  • Seminar

    Who stays? Tracking ultra-long-time participants in the SOEP

    29.01.2026| Rebecca Scheffauer
  • Seminar

    Presentation of project work

    25.02.2026| Marek Wessels
  • Refereed essays Web of Science

    From Concurrent to Push-To-Web Mixed-Mode: Experimental Design Change in the German Social Cohesion Panel

    Research shows that concurrent and sequential self-administered mixed-mode designs both have advantages and disadvantages in terms of panel survey recruitment and maintenance. Since concurrent mixed-mode designs usually achieve higher initial response rates at lower bias than sequential mixed-mode designs, the former may be ideal for panel recruitment. However, concurrent designs produced high share ...

    In: Social Science Computer Review (2026), im Ersch. [online first: 2025-11-29] | Carina Cornesse, Julia Witton, Julian B. Axenfeld, Jean-Yves Gerlitz, Olaf Groh-Samberg
  • Refereed essays Web of Science

    Composition of Core Modules and Item Allocation in Split Questionnaire Designs: Impact on Estimates from Imputed Data

    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
  • Refereed essays Web of Science

    Education Bias in Probability-Based Surveys in Germany: Evidence and Possible Solutions

    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
  • Refereed essays Web of Science

    The Reliability of Replications: A Study in Computational Reproductions

    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.)
  • Refereed essays Web of Science

    Polygenic Associations with Educational Attainment in East Versus West Germany: Differences Emerge After Reunification

    Using a DNA-based polygenic index, we explored geographical and historical differences in polygenic associations with educational attainment in East and West Germany around the time of reunification. This index was derived from a prior genome-wide association study on educational attainment in democratic countries. In 1,930 individuals aged 25 to 85 years from the SOEP-G[ene] cohort, the magnitude ...

    In: Psychological Science 36 (2025), 7, S. 559–573 | Deniz Fraemke, Yayouk E. Willems, Aysu Okbay, Ulman Lindenberger, Sabine Zinn, Gert Wagner, David Richter, Kathryn P. Harden, Elliot M. Tucker-Drob, Ralph Hertwig, Philipp Koellinger, Laurel Raffington
  • Refereed essays Web of Science

    Attitudes, Experiences, and Usage Intentions of Artificial Intelligence: A Population Study in Germany

    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
729 results, from 1
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