Meta-Analysis (2026 DSS)

About

By summarizing results drawn from a set of studies concerning a specific topic and by discovering and explaining consistencies and inconsistencies of the results, meta-analysis provides an essential step in the process of knowledge accumulation and integration, theory building and theory testing in science, and linking past research with future scientific endeavours. The course covers the following topics:

- Fundamentals of meta-analysis
- Defining a research question for a meta-analysis
- Literature search and coding
- Effect size computation
- Data preparation
- Data analysis: effect size integration, homogeneity tests, explaining the variability of effect sizes/moderator analysis, meta-analytic structural equation modelling
- Presenting and publishing meta-analyses

Course leader

Martin EISEND, University of Vienna, Austria

Target group

The Doctoral Summer School online courses are aimed at doctoral students, post-docs, academics and professionals from different fields and from all over the world.

Fee info