This three-day online course introduces Coincidence Analysis (CNA), a configurational method for learning complex causal structures from data. CNA models how causes combine with context factors into alternative paths to … Continue reading Coincidence Analysis for Causal Learning (online) →

This five-day, in-person course introduces Qualitative Comparative Analysis (QCA), a set-theoretic method for analyzing small, intermediate, and large numbers of cases. Participants learn to identify necessary and sufficient conditions and … Continue reading Introduction to Qualitative Comparative Analysis (QCA) using R →

This five-day online course builds on introductory QCA and covers recent developments in set-theoretic methods. Topics include limited diversity and the Enhanced Standard Analysis, robustness and sensitivity checks, clustered data, … Continue reading Advanced Qualitative Comparative Analysis (QCA) (online) →

This five-day online course introduces process tracing as a within-case method for tracing causal mechanisms between a trigger and an outcome. It covers the method's core assumptions and applicability, causal … Continue reading Introduction to Causal Process Tracing (online) →