This course will provide you with an interactive online learning environment using advanced pedagogical tools, and is specifically designed for masters level students and above. The course is limited to a maximum of 20 participants, ensuring that the teaching team can address the unique needs of each individual. Course overview Upon completion of this course, you will … Continue reading Using Qualitative Comparative Analysis in Applied Research (online) →

The European QCA Conference (EQCA) will take place at Erasmus University Rotterdam, from 7–9 December 2026! The European QCA Conference brings together an international community of researchers who apply, develop, teach, and critically discuss QCA and related configurational approaches. Working on a QCA paper and looking for constructive feedback? The PDW is particularly aimed at … Continue reading PDW @ EQCA in Rotterdam, December 2026 →

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 statistical tools such as group comparisons and OLS regression. The course closes with an introduction to data visualization with ggplot2 and reproducible reports with R … 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 one or more outcomes. The course covers conceptual foundations, the CNA algorithm, calibration and factor selection, hands-on analysis with the R package cna, model evaluation, … 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 to model causal complexity. The course combines theory with hands-on practice, covering calibration, set relations, truth tables, logical minimization, the Standard Analysis, and the interpretation … 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, and set-theoretic theory evaluation. The course also covers set-theoretic multi-method research, including how to combine QCA with process tracing. All analyses use R. Instructor: Ioana-Elena … 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 mechanisms, theory development, data gathering and analysis, and drawing inferences. The course is hands-on: participants design and plan a full process-tracing study linked to their … Continue reading Introduction to Causal Process Tracing (online) →