This two-day online course introduces programming and data analysis in R and requires no prior knowledge. Participants learn to import, clean, transform, subset, and merge data. They also learn basic … Continue reading Introduction to R (online) →

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) →

QCA Trainings @ the 6th Annual QCA Conference of the Americas April 14–16, 2027 Wednesday, April 14, 2027 Introduction to QCA w/Claude Rubinson (University of Houston­-Downtown) and Roel Rutten (Tilburg … Continue reading →

The Erasmus Graduate School of Social Sciences and the Humanities (EGSH) at Erasmus University offers an online training for PhD students. Need to analyse cause-effect relations across multiple cases and … Continue reading Qualitative comparative analysis (QCA): A mixed-method approach for studying complex causality (online) →