***Apologies for cross-posting***
Dear colleagues,
We want to highlight a selection of GESIS courses about various topics on causal identification: Introduction to Methods of Causal Analysis, Directed Acyclic Graphs, Causal Inference Using Survey Data, Causal Mediation Analysis, and Propensity Score Matching. You will find a complete list of all GESIS Training courses onlinehttps://training.gesis.org/?lang=en_US and attached to this email.
05. - 07.07.2023 Einführung in die Methoden der modernen Kausalanalysehttps://bit.ly/ModerneKausalanalyse (Mannheim) Michael Gebel
02. - 04.08.2023 Causal Inference with Directed Acyclic Graphs (DAGs)https://bit.ly/GSS23_SCD (Online) Paul Hünermund
07. - 11.08. 2023 Causal Inference Using Survey Datahttps://bit.ly/GSS23_C3 (Cologne) Heinz Leitgöb, Tobias Wolbring
11. - 15.12. 2023 Causal Mediation Analysishttps://bit.ly/CausalMediation (Online) Felix Thoemmes
20. - 21.02.2024 Propensity Score Matching: Computation and Balance Estimation for two and more groups in Rhttps://bit.ly/Propensity_Score_Matching (Online) Julian Urban
All the best,
GESIS Training
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July
05. - 07.07. Interactive Data Analysis with Shinyhttps://bit.ly/IDA_Shiny (Online) Jonas Lieth, Paul C. Bauer
05. - 07.07. Einführung in die Methoden der modernen Kausalanalysehttps://bit.ly/ModerneKausalanalyse (Mannheim) Michael Gebel
17. - 19.07. Logistic Regression and Beyond: Modelling Categorical Dependent Variableshttps://bit.ly/LogRegression (Cologne) Sophie Suda
August
02. - 04.08. Pretesting Survey Questionshttps://bit.ly/GSS23_SCA (Online) Cornelia Neuert, Timo Lenzner
02. - 04.08. Mixed-Mode Surveyshttps://bit.ly/GSS23_SCB (Online) Sven Stadtmüller, Henning Silber, Yannick Diehl, Peter Schmidt
02. - 04.08. Introduction to Stata for Data Management & Analysishttps://bit.ly/GSS23_SCC (Online) Irina Bauer, Annika Stein
02. - 04.08. Causal Inference with Directed Acyclic Graphs (DAGs)https://bit.ly/GSS23_SCD (Online) Paul Hünermund
07. - 11.08. Designing, Implementing, and Analyzing Longitudinal Surveyshttps://bit.ly/GSS23_C1 (Cologne) Tarek Al Baghal, Alexandru Cernat
07. - 11.08. Applied Systematic Review and Meta-Analysishttps://bit.ly/GSS23_C2 (Cologne) Jessica Daikeler, Sonila Dardha
07. - 11.08. Causal Inference Using Survey Datahttps://bit.ly/GSS23_C3 (Cologne) Heinz Leitgöb, Tobias Wolbring
07. - 11.08. (Non-)Probability Samples in the Social Scienceshttps://bit.ly/GSS23_C4 (Online) Carina Cornesse, Olga Maslovskaya
07. - 08.08. Qualitative Interviews - Theorie und Praxishttps://bit.ly/QualitativeInterviews (Mannheim) Günter Mey, Paul S. Ruppel
10. - 11.08. Grounded-Theory-Methodologiehttps://bit.ly/23-08-Grounded_Theory_Methodologie (Mannheim) Günter Mey, Paul S. Ruppel
14. - 18.08. Advanced Survey Designhttps://bit.ly/GSS23_C5 (Cologne) Bella Struminskaya, Angelo Moretti
14. - 18.08. Advanced Questionnaire Designhttps://bit.ly/GSS23_C6 (Cologne) Marek Fuchs
14. - 18.08. Introduction to R for Data Analysishttps://bit.ly/GSS23_C7 (Cologne) Jan Schwalbach, Dennis Abel
14. - 18.08. Missing Data and Multiple Imputationhttps://bit.ly/GSS23_C8 (Online) Florian Meinfelder, Angelina Hammon
21. - 25.08. Collecting and Analyzing Longitudinal Social Network Datahttps://bit.ly/GSS23_C9 (Cologne) Lars Leszczensky, Sebastian Pink
21. - 25.08. Data Science Techniques for Survey Researchershttps://bit.ly/GSS23_C10 (Cologne) Anna-Carolina Haensch
29. - 31.08. Qualitative Netzwerkanalysehttps://bit.ly/23-08-QualitativeNetzwerkanalyse (Cologne) Markus Gamper, Laura Behrmann
30.08. - 01.09. Mehrebenenanalyse in Statahttps://bit.ly/MehrebenenanalyseStata (Cologne) Hermann Dülmer
September
04. - 06.09. Introduction to Pythonhttps://bit.ly/23-09-Intro_Python (Online) Hannah Béchara, Paulina Garcia Corral
05. - 07.09. Introduction to Rhttps://bit.ly/23-09-Intro_R (Online) Natalia Umansky, Christian Pipal
11. - 15.09. Introduction to Computational Social Science with Rhttps://bit.ly/IntroCSSwithR (Mannheim) Aleksandra Urman, Max Pellert
11. - 15.09. Introduction to Computational Social Science with Pythonhttps://bit.ly/IntroCSSwithPython (Mannheim) Milena Tsvetkova, Patrick Gildersleve
11. - 15.09. Big Data and Computation for Social Data Sciencehttps://bit.ly/BigDataComputation (Mannheim) Akitaka Matsuo, David (Yen-Chieh) Liao
18. - 22.09. Automated Web Data Collection with Rhttps://bit.ly/WebDatawithR (Mannheim) Allison Koh, Hauke Licht
18. - 22.09. Automated Web Data Collection with Pythonhttp://bit.ly/WebDatawithPython (Mannheim) Felix Soldner, Jun Sun, Leon Fröhling
18. - 22.09. Automated Image and Video Analysis with Pythonhttp://bit.ly/ImageVideoAnalysis (Mannheim) Andreu Casas, Felicia Loecherbach
25. - 29.09. Social Network Analysis with Rhttp://bit.ly/NetworkAnalysiswithR (Mannheim) Michał Bojanowski
25. - 29.09. Introduction to Machine Learning for Text Analysis with Pythonhttp://bit.ly/IntroTextAnalysis (Mannheim) Damian Trilling, Anne Kroon
25. - 29.09. From Embeddings to Transformers: Advanced Text Analysis with Pythonhttp://bit.ly/AdvancedTextAnalysis (Mannheim) Hauke Licht, Jennifer Victoria Scurrell
28. - 29.09. Einführung in die qualitative Inhaltsanalysehttps://bit.ly/23-08-QualitativeInhaltsanalyse (Cologne) Markus Janssen, Christoph Stamann
October
30. - 31.10.https://training.gesis.org/?site=pICS&pID=0xBB4D8590048C49EAA035610865B3354F Fundamentals and Advanced Topics in Modeling Interaction Effectshttps://bit.ly/ModelingInteractionEffects (Mannheim) Janina Beiser-McGrath, Liam F. Beiser-McGrath
November
06. - 08.11. Sequence Analysis in the Social Scienceshttps://bit.ly/SequenceAnalysis (Online) Marcel Raab, Emanuela Struffolino
13. - 14.11. Questionnaires for Cross-Cultural and Cross-National Surveyshttps://bit.ly/QuestionnairesCCandCNSurveys (Mannheim) Dorothée Behr, Cornelia Neuert, Lydia Repke
13. - 14.11. Power Analysis Through Simulation in Rhttps://bit.ly/PowAnalysis (Online) Niklas Johannes
13. - 15.11. Synthetic Data: Generation and Evaluationhttps://bit.ly/SynthData (Online) Thom Volker
16. - 17.11. Workflows for Reproducible Research with R & Githttps://bit.ly/WfRRwRGit (Online) Johannes Breuer, Bernd Weiß, Arnim Bleier
22. - 24.11. Introduction to Bayesian Statisticshttps://bit.ly/IntroBayStat (Online) Denis Cohen
28. - 30.11. Research Data Management and Open Sciencehttps://bit.ly/23-11-RDM (Online) Anja Perry, Sebastian Netscher
29.11. - 01.12.https://training.gesis.org/?site=pICS&pID=0x18BDFB0927354262800D009C2BB8A371 Einführung in die Strukturgleichungsmodellierunghttps://bit.ly/Strukturgleichungsmodellierung (Cologne) Marie-Ann Sengewald
December
06. - 08.12. Going Cross-Lingual: Computational Methods for Multilingual Text Analysishttps://bit.ly/MultilingualTextAnalysis (Cologne) Hauke Licht, Fabienne Lind
07. - 15.12. Introduction to Event History Analysishttps://bit.ly/EventHis2023 (Online) Jan Skopek
11. - 15.12. Causal Mediation Analysishttps://bit.ly/CausalMediation (Online) Felix Thoemmes
13. - 15.12. Introduction to Statahttps://bit.ly/23-12-Intro_Stata (Online) Alexandra Asimov, Katrin Firl
** 2024 **
February
20. - 21.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in Rhttps://bit.ly/Propensity_Score_Matching (Online) Julian Urban
21. - 23.02. Durchführung qualitativer Interviewshttps://bit.ly/QualInterviews24 (Cologne) Nicole Bögelein, Katharina Leimbach
March
20. - 22.03. Applied Multiverse Analysishttps://bit.ly/App-multiverse-analysis (Online) Reinhard Schunck
--- Dr. André Ernst [he / him] Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences