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.