December 2024 - Methoden - mailman.uni-konstanz.de

DATA RELEASE: GERMAN SOCIAL COHESION PANEL - WAVE 1 (SCP 2021/22 W1)
by Jean-Yves Gerlitz 04 Dec '24

04 Dec '24

Dear Colleagues, We are happy to announce the *release* of another *Scientific Use File* of the *German Social Cohesion Panel (SCP)*: the *German Social Cohesion Panel 2021/22 - Wave 1* (SCP 2021/22 W1). For more details and information how the data can be obtained, please see below or visit https://fgz-risc-data.de/datenportal/datenangebot/german_social_cohesion_pa…. * **The German Social Cohesion Panel: * The SCP is a newly established longitudinal study that captures multiple aspects of social cohesion in Germany. It is based on a representative population sample drawn from the German population registers and was carried out for the first time in 2021. The annual survey is directed not only at the selected individuals but also at all other adult household members. The SCP is funded by the Federal Ministry of Education and Research (BMBF), led in cooperation by the Research Institute Social Cohesion (RISC) and the German Socio-Economic Panel (SOEP), and implemented by the survey institute infas. *The SCP 2021/22 W1:* The dataset "German Social Cohesion Panel 2021/22 – Wave 1" includes survey data and generated indicators of the first and second part of the first panel wave. It contains responses from 13,053 household anchor persons drawn from population registers and from 3,974 adult household members who were named by the anchor persons and subsequently interviewed. *Data Access:* The SCP can be ordered by all *p**ost-doctoral researchers affiliated with a scientific institution*. For that purpose, please set up a *data user account* at https://fgz-risc-data.de/en/registration if not yet done. You can use this account in the future to order all Scientific Use Files available at the Research Data Centre of the Research Institute Social Cohesion (RDC-RISC). Account holders (primary users) may share the data with researchers under their supervision (secondary users). Secondary users must be listed in the primary user's data user account and must sign a privacy policy, which must be archived by the primary user. We would like to point out that we provide data for scientific use only. If you have any questions, please contact us at fgzdz(a)uni-bremen.de. Best regards, The team of the RDC-RISC -- Dr. Jean-Yves Gerlitz Coordinator German Social Cohesion Panel Research Fellow logo-fgz Forschungsinstitut Gesellschaftlicher Zusammenhalt Geschäftsstelle Bremen Research Data Centre (RDC-RISC) Research Center on Inequality and Social Policy (SOCIUM) University of Bremen P.O. Box 330 440 28334 Bremen, Germany Telefon: +49(0) 421 / 218 - 570 88 | Fax: +49(0) 421 / 218 98 - 570 88 E-Mail: gerlitz(a)uni-bremen.de www.fgz-risc.de <https://www.fgz-risc.de/> www.fgz-risc-data.de <https://www.fgz-risc-data.de/>

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CS3 Meeting for Computational Survey and Social Science
by Höhne, Jan Karem 04 Dec '24

04 Dec '24

***Apologies for cross-posting Dear colleagues, I would like to invite you to join the upcoming CS3 Meeting for Computational Survey and Social Science broadcasted by the German Centre for Higher Education Research and Science Studies (DZHW). The CS3 Meeting concerns research topics on innovative data collection and analysis strategies in the behavioral and social sciences. It takes place online during the summer (April-July) and winter terms (October-January) including a talk of about 30 minutes and a Q&A of about 15 minutes. Laura Boeschoten (Utrecht University) talks about "Digital trace data collection through data donation<https://jkhoehne.eu/wp-content/uploads/2024/07/CS3_meeting_LB.pdf>" on December 12, 2024, from 3:15 to 4:00 PM (CET). Please sign up for the meeting here: https://ww3.unipark.de/uc/cs3_meeting_registration/ See you at the CS3 Meeting! Best regards Jan German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany Prof. Dr. Jan Karem Höhne Head of CS3 Lab for Computational Survey and Social Science Leibniz University Hannover German Centre for Higher Education Research and Science Studies (DZHW) Research Area 4: Research Infrastructure and Methods Tel. +49 511 450670-458 Fax +49 511 450670-960 www.jkhoehne.eu<http://www.jkhoehne.eu/> Upcoming and most recent publications: - Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2024). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society. - Höhne, J.K. & Claassen, J. (2024). Examining final comment questions with requests for written and oral answers. International Journal of Market Research. DOI: 10.1177/14707853241229329 - Höhne, J.K., Gavras, K., & Claassen, J. (2024). Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review. DOI: 10.1177/08944393231160961 - Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031

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GESIS Training: Modeling Group Differences
by Remizova, Alisa 03 Dec '24

03 Dec '24

**Apologies for cross-posting** Dear colleagues, When are group differences genuine, and when are they shaped by methodological artifacts or compositional imbalances? GESIS invites you to explore these and other questions in our upcoming workshops on modeling group differences. Topics range from ensuring measurement comparability across groups to accounting for nested data structures: * 27. - 30.01. Decomposition Methods in the Social Sciences<https://tinyurl.com/01-25-decomposition-methods> (Mannheim) * 18. - 19.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://tinyurl.com/02-25-PSM-comp-balance-R> (Online) * 3. 12. - 14.03. Einführung in Strukturgleichungsmodellierung<https://tinyurl.com/03-25-struktgleichungsmodel> (Online) * 14. - 16.04. Latent Class Analysis<https://tinyurl.com/04-25-latent-class-analysis> (Cologne) * 26. - 27.05. Einführung in die Mehrebenen-Strukturgleichungsmodellierung<https://tinyurl.com/05-25-intro-Mehreb-SGM> (Online) For more details or to register, please visit our website<https://training.gesis.org/> or email alisa.remizova(a)gesis.org<mailto:alisa.remizova@gesis.org>. We would also appreciate your help in spreading the word about this announcement. May your group comparisons be meaningful, GESIS Training Team --- Alisa Remizova alisa.remizova(a)gesis.org<mailto:alisa.remizova@gesis.org> Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences https://training.gesis.org/

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