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Introduction to Causal Data Analysis and Modeling with Coincidence Analysis

May 15, 2023 - May 18, 2023


This workshop offers an intensive 4-day introduction to causal modeling with Coincidence Analysis (CNA), a relatively new configurational comparative method of data analysis geared towards causal complexity, which has seen a considerable uptick in applications in recent years. No prior knowledge of CNA is required.

In plenary lectures, the main developer of CNA, Michael Baumgartner, and a team of experienced CNA methodologists and practitioners will guide participants through the nuts and bolts of configurational data analysis as well as cutting-edge methodological innovations. In smaller practice groups, the instructors will demonstrate how to make the most of current software for CNA and offer advice on practical issues, such as getting funded and published with CNA.


May 15, 2023
May 18, 2023
Event Category:


Michael Baumgartner (Univ. of Bergen, Norway)


Prague University of Economics and Business, Czech Republic
Czech Republic + Google Map

Comparative Methods for Systematic Cross-Case Analysis