Forschung SOEP: Survey-Methodologie und Data 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 ...

Lebenssituation und Teilhabe ukrainischer Geflüchteter in Deutschland: Ergebnisse der IAB-BAMF-SOEP-Befragung

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 producea high share ...

Pilotprojekt Grundeinkommen: kein Rückzug vom Arbeitsmarkt, aber bessere mentale Gesundheit

Im Juni 2021 startete in Deutschland ein groß angelegtes Feldexperiment zum bedingungslosen Grundeinkommen. Zwei in diesem Wochenbericht zusammengefasste Studien untersuchen, wie sich bedingungslose Geldtransfers in Höhe von monatlich 1 200 Euro über einen Zeitraum von drei Jahren auf das Ausgaben- und Arbeitsmarktverhalten sowie auf verschiedene Indikatoren der mentalen Gesundheit und des subjektiven ...

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 ...

Identifying Optimizers, Extremists, and Indifferents: Latent Satisficing Patterns in Panel Surveys

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 ...

Immigration, Segregation, and Attitudes Toward Immigrants: A Longitudinal Multiscalar Analysis across Egohoods

Evidence on how proximity to ethnic outgroups shapes attitudes toward immigration remains inconclusive. We suggest this may be driven, in part, by the fact that studies rarely account for the role of residential segregation. We argue that how the minority-share in an environment affects majority-group attitudes will depend on how segregated groups are from one another. To explore this, we undertake ...

Do talk money – Reducing income nonresponse in surveys (with Katharina Allinger)

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...

Validating an Index of Selection Bias for Proportions in Non-probability Samples

Fast online surveys without sampling frames are becoming increasingly important in survey research. Their recruitment methods result in non-probability samples. As the mechanism of data generation is always unknown in such samples, the problem of non-ignorability arises making vgeneralisation of calculated statistics to the population of interest highly questionable. Sensitivity analyses provide a ...

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

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 ...