Experimental data in social sciences and humanities: Meta-analysis methods
Données expérimentales en SHS : méthodes de méta-analyse (DESMA)
8-10 October 2025
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ProgramPreliminary program: The program includes theoretical courses and practical sessions in the form of mini-projects (5 dedicated time slots). The mini-project sessions will be supervised by a team of facilitators including the instructors mentioned below. Examples of R packages that will be used include bayesmeta, brms, meta, metadat, and metafor.
October 8 Morning: - Introduction to the school & icebreaker activity - Systematic literature review: Protocol, methods and reporting Main instructor: Sho Tsuji, CNRS Afternoon: - Meta-analysis: Introduction, effect sizes, bias, robustness, and interpretation of results Main instructor: Theodoros Evrenoglou, University of Freiburg
October 9 Morning: - Mini-project (Slots 1-2) Afternoon: - Introduction to Bayesian statistics and Bayesian meta-analysis Main instructor: Christian Röver, University Medical Center Göttingen Evening: Special visit to the "Le Fresnoy": More info soon
October 10 Morning: Mini-project (Slots 3-4) Afternoon: - Mini-project (Slot 5) - Other key topics: Open science, meta-analysis publication standards, etc. Main instructor: Sho Tsuji, CNRS - Conclusion
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