*** Apologies for cross-posting *** Dear colleagues,
Attached you will find the preliminary program of GESIS Training for the first half of 2023. We would like to highlight two workshops that might be of special interest to you as advanced quantitative social scientists. The workshop by Reinhard Schunck and Nora Huth-Stöckle introduces Multiverse Analysishttps://bit.ly/MultiverseAnalysis (Online, 22.-24.02.), which addresses the decision dependency of (quantitative) data analysis. This workshop might be of interest to those who want to increase the reliability and transparency of their analysis. Furthermore, we want to draw your attention to the Directed Acyclic Graphs (DAGs) for Causal Inferencehttps://bit.ly/23-03-DAG workshop (in Cologne, 22.-24.03.) by Will Lowe. While DAGs are called for, they are still rarely used. This workshop gives an overview of causal identification and inference based around DAGs.
Best wishes, Your GESIS Training team
February
14. - 15.02. Automatic Sampling and Analysis of YouTube Datahttps://training.gesis.org/?site=pDetails&child=full&pID=0xA3254EE28FA344398AAC7E869243C2A0 (Online) Annika Deubel, Johannes Breuer, Rohangis Mohseni
22. - 24.02. Durchführung qualitativer Interviewshttps://training.gesis.org/?site=pDetails&child=full&pID=0x564D1A064BF342E3842237E6357148B6 (Online) [waiting list] Katharina Leimbach, Nicole Bögelein
22. - 24.02. Introduction to Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0x2DEBDABB84914137A0B3814D38A12760 (Online) [waiting list] Matthias Roth, Lukas Birkenmaier
23. - 24.02. Applied Multiverse Analysishttps://training.gesis.org/?site=pDetails&child=full&pID=0x551670E9AA21490481BAFC0564A5A8E8 (Online) Reinhard Schunck, Nora Huth-Stöckle
27.02. - 03.03. Comparative Social Research with Multi-Group SEMhttps://training.gesis.org/?site=pDetails&child=full&pID=0x9333BC94AE814B6E9649CB668AEEB1B1&subID=0xF5ED739B42A54072BB59D517DA61816D (Cologne) Daniel Seddig, Eldad Davidov, Peter Schmidt, Yannick Diehl
March
06. - 10.03. Decomposition Methods in the Social Scienceshttps://training.gesis.org/?site=pDetails&child=full&pID=0x9333BC94AE814B6E9649CB668AEEB1B1&subID=0xF5EAD0D43C6B4705BFDE5C038671669D (Cologne) [waiting list] Johannes Giesecke, Ben Jann
13. - 17.03. Latent Class Analysishttps://training.gesis.org/?site=pDetails&child=full&pID=0x9333BC94AE814B6E9649CB668AEEB1B1&subID=0xB5858550702A4B11BF9629975FFB986A (Cologne) Daniel Oberski, Laura Boeschoten
22. - 24.03. Directed Acyclic Graphs for Causal Inferencehttps://training.gesis.org/?site=pDetails&child=full&pID=0xB008E7144343441D8CF5D0A2487D2F74 (Cologne) William Lowe
27. - 29.03. Collecting Social Media Data with the Twitter APIhttps://training.gesis.org/?site=pDetails&child=full&pID=0xEF7DB31D4EB7420696C738C907644DC0 (Online) Dennis Assenmacher, Leon Fröhling
27. - 28.03. Einführung in die Programmierung von Websurveyshttps://training.gesis.org/?site=pDetails&child=full&pID=0x447BFA4674C4405E92D34B83877C8F42 (Online) Frauke Riebe, Jan Marquardt
27. - 28.03. Grounded-Theory-Methodologiehttps://training.gesis.org/?site=pDetails&child=full&pID=0xFD803513633949FFA0E5DAA1EA446596 (Online) Günter Mey, Paul Sebastian Ruppel
April
17. - 18.04. Using Smartphone Sensors, Apps, and Wearables in Social Science Researchhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB002480EFE06463DAEE15F2EB14C19BE (Online) Florian Keusch, Bella Struminskaya
17. - 18.04. Data Management, Advanced Programming and Automation using Statahttps://training.gesis.org/?site=pDetails&child=full&pID=0x67D16218DB7B4C288F1C381091A22DFD (Mannheim) Daniel Bela
25. - 28.04. Introduction to Event History Analysishttps://training.gesis.org/?site=pDetails&child=full&pID=0x9AF4E4D8C7C1496EB8FF066E6891BF93 (Online) Jan Skopek
26. - 27.04. Expert*inneninterviewshttps://training.gesis.org/?site=pDetails&child=full&pID=0x52BF38A5248B4EE1821C901B7C538DDE (Mannheim) Betina Hollstein, Laura Behrmann
May
03. - 05.05. Introduction to Computational Text Analysis with Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0xEBFDE5F04E084C5A884C94265C5C9023 (Online) Marco Wähner
08. - 10.05. Egocentric Networks: Theory, Methods, and Applicationshttps://training.gesis.org/?site=pDetails&child=full&pID=0x2740C30B07B542D7AC50B5BF85445405 (Mannheim) Lydia Repke
08. - 10.05. Introduction to Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0x7EEB6CFDDC8349A89751109CA14C3F8E (Online) Judith Gilsbach
09. - 12.05. Applied Data Visualizationhttps://training.gesis.org/?site=pDetails&child=full&pID=0x84BF53CD236D45AB8FD22DA6D5AD2341 (Online) Paul Bauer
10. - 12.05. Introduction to Structural Equation Modeling for Cross Sectional Datahttps://training.gesis.org/?site=pDetails&child=full&pID=0xA35E60E0C68340899CC62CB0DDC2084A (Mannheim) Jochen Mayerl, Henrik Kenneth Andersen
31.05. - 02.06. Advanced R Programminghttps://training.gesis.org/?site=pDetails&child=full&pID=0x61D72CBE8F0E439DA97FAC6D072A6447 (Online) Tom Paskhalis
June
06. - 07.06. Introduction to Geospatial Techniques for Social Scientists in Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0x0AC9B5CFBFFF4FE4B870D4DC61F5FD77 (Cologne) Stefan Jünger, Anne-Kathrin Stroppe
12.06. Linking Twitter & Survey Datahttps://training.gesis.org/?site=pDetails&child=full&pID=0x3B5B70F3787749CB80956A9256B8D29A (Online) Luke Sloan, Libby Bishop, Johannes Breuer
19. - 20.06. Automated Reports & Co with Quarto and Markdownhttps://training.gesis.org/?site=pDetails&child=full&pID=0x8298CEAADF6C457B8FBE9EE3FC092E47 (Online) David Schoch, Chung-hong Chan
21. - 23.06. Grundlagen und aktuelle Debatten der Regressionsanalysehttps://training.gesis.org/?site=pDetails&child=full&pID=0x975BEB21DA7C479C96C802A25E344904 (Mannheim) Michael Gebel, Stefanie Heyne
26. - 28.06. Geodata and Spatial Regression Analysishttps://training.gesis.org/?site=pDetails&child=full&pID=0x487DA54DEF0446F2ACACF587C8F8C946 (Mannheim) Tobias Rüttenauer
July
05. - 07.07. Interactive Data Analysis with Shinyhttps://training.gesis.org/?site=pDetails&child=full&pID=0x0D17F8F738B14E0991504DBF8823A002 (Online) Dennis Abel
17. - 19.07. Logistic Regression and Beyond: Modelling Categorical Dependent Variableshttps://training.gesis.org/?site=pDetails&child=full&pID=0xCC1331AE9ECB4784AD0FD3933C104E98 (Cologne) Marita Jacob
--- GESIS - Leibniz Institute for the Social Sciences
email: training@gesis.orgmailto:training@gesis.org web: www.gesis.org/traininghttp://www.gesis.org/training twitter: https://twitter.com/gesistraining facebook: https://www.facebook.com/GESISTraining
--- Dr. André Ernst [he / him] Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences
methoden@mailman.uni-konstanz.de