***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
**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
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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/
