SOEP Research: Survey Methodology and Data 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 ...

Measurement error models on anonymized georeferenced data

Georeferenced data are often anonymized for data protection reasons. This is done either by aggregating the data into larger spatial units (e.g., higher-level administrative units or grids with larger cell sizes) or by using stochastic methods to deliberately overlay the original coordinates. These methods significantly distort the data and associated variables, making further modeling steps...

Methodological Challenges in Cross-Cohort Comparisons of Educational Achievement

Filling in the Blanks: Augmenting Survey Data Imputation with an External Prior

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...

Publishing Fine-Grained Standardized Metadata: Lessons Learned from Three Research Data Centers

FAIRness of research data, meaning that data are managed according to the principles of being Findable, Accessible, Interoperable, and Reusable, has become a ubiquitous requirement in research data policies as well as in general guidelines for research data management. Meeting this requirement largely depends on the availability of rich and standardized DDI metadata—based on the Data Documentation ...

The German Artificial Intelligence Experience and Attitude Survey (AIEAS): A Brief Measure for Socio-Economic Panel Studies

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, ...

Heterogeneity in Gender Differences in Self-Reported Political Preferences, Trust, and Well-Being across 39 European Countries

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 ...

Register now for the online workshop series SOEPcampus: Learn to use the SOEP over lunch

In March/April 2026 our online over lunch seminar series returns with one last workshop this year. The workshop provides a comprehensive, practical introduction to the data of the Socio-economic Panel (SOEP) on three Wednesdays during lunchtime. Participants will learn about the study's content, data structure, sample selection, and weighting strategy, along with an overview of the study documentation. To ...

SOEP User Conference 2026 - Call for Papers

The call for papers for the 16th International German Socio-Economic Panel User Conference is online. SOEP 2026 will take place from July 8-9, 2026, in Berlin, and researchers from all disciplines are invited to submit an abstract. We particularly welcome contributions addressing meta-science, robustness, replicability, reproducibility, and open science. This includes, but is not limited to, studies ...

Learn to use the SOEP over lunch

The German Socio-Economic Panel Study is a representative panel study for the German population, collecting data on a broad variety of topics of everyday life, including general well-being, household composition, educational aspirations and educational status, income and occupational biographies, leisure time activities, housing, health, political orientation and more. With its long-running panel...