A solid foundation in comparative case studies is essential for comparative social scientists. This five-day in-person course provides you with the skills needed to design your qualitative comparative case study research, based on your own and/or other applied research projects. The course covers the topics of causal complexity, concept formation, casing and case selection, logics … Continue reading Comparative Case Study Design →

Qualitative Comparative Analysis (QCA) is a set-theoretic technique for comparing intermediate to large numbers of cases that models causal complexity to analyze necessary or sufficient conditions for an outcome. This five-day online course introduces QCA as an approach and a technique, its main assumptions, its standard procedures and operations, and the technical environment used for … Continue reading Introduction to Qualitative Comparative Analysis (QCA) →

Process tracing is a research method for tracing causal mechanisms using detailed, within-case empirical analysis of how a causal process plays out in an actual case. This five-day online course provides participants with a working understanding of the core elements of process tracing (PT) as a robust case study method, enabling them to utilize it … Continue reading Introduction to Causal Process Tracing →

A one-day hybrid workshop that provides a ground-up introduction to Qualitative Comparative Analysis (QCA) and fuzzy sets. Designed for those who are new to QCA or wish to refresh their knowledge, participants will receive intensive instruction and hands-on experience with QCA software. By the end of the workshop, you will be able to begin designing … Continue reading Qualitative Comparative Analysis at AQCA2023 →

For your research, if you've ever wanted to understand and model causal effects in a rigorous way that reflects the complexity of the real-world. NCA understands a cause as a necessary (but not sufficient) condition, rather than a probabilistic cause (as in regression analysis). “Necessary” means that a certain outcome will not occur without a … Continue reading Introduction to Necessary Condition Analysis (NCA) →

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 … Continue reading Introduction to Causal Data Analysis and Modeling with Coincidence Analysis →

The goal of this workshop is to provide a ground-up introduction to Qualitative Comparative Analysis (QCA) and fuzzy sets. Participants will get intensive instruction and hands-on experience with the fsQCA software package and on completion should be prepared to design and execute research projects using the set-analytic approach. CHF 1’100.00 for Master/Phd students and CHF … Continue reading Qualitative Comparative Analysis (QCA) →

The purpose of this course is to provide training on all aspects that enable a researcher to build and implement the most appropriate comparative research design – the latter broadly defined as any research enterprise that comprises at least two ‘cases’ or observations. On the one hand, the course will cover a few fundamental upstream … Continue reading Comparative Research Designs →