[aimsl] Call - GESIS Spring Seminar "Modeling Group Differences" (27 Feb-17 Mar, Cologne DE)
Karl van Meter
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Thanks to Sebastian Wenz
Dear colleagues,
We are excited to announce the program of the GESIS Spring Seminar 2023!
The Spring Seminar offers high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. It is designed for advanced graduate or PhD students, post-docs, as well as junior and senior researchers. In 2023, all courses will deal with techniques and methods for "Modeling Group Differences" in the social sciences and beyond.
Extensive hands-on exercises and tutorials complement lectures in each course. All courses are held in English. The Spring Seminar will take place on-site in Cologne, Germany, from 27 February to 17 March 2023. Only if the pandemic hits again heavily will we move the courses online.
For registration and detailed course descriptions, please visit www.gesis.org/springseminar.
GESIS Spring Seminar 2023 Program:
Week 1 (27 Feb – 03 Mar)
Comparative Social Research with Multi-Group SEM
Daniel Seddig, Eldad Davidov, Peter Schmidt, Yannick Diehl
Week 2 (06 – 10 Mar)
Decomposition Methods in the Social Sciences
Johannes Giesecke, Ben Jann
Week 3 (13 – 17 Mar)
Daniel Oberski
Courses must be booked separately – whether you wish to attend one, two, or all. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Thanks to our cooperation with the Cologne Graduate School in Management, Economics, and Social Sciences at the University of Cologne, enrolled doctoral students can obtain three ECTS credit points per one-week course.
For detailed information on the Spring Seminar 2023, please visit www.gesis.org/springseminar.
For workshops (on-site or online) on related and other social science research methods, please visit www.gesis.org/workshops.
We would appreciate forwarding this announcement to other potentially interested parties.
Thank you, and best wishes,
Your GESIS Training team
GESIS – Leibniz-Institute for the Social Sciences
email: trai...@gesis.org
twitter: https://twitter.com/gesistraining
facebook: https://www.facebook.com/GESISTraining
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* Karl M. van Meter BMS, Bulletin de Methodologie Sociologique
* karl.v...@ens.fr (Bulletin of Sociological Methodology)
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