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

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 Summer School in Social Research Methods: Comparative Research Designs →

This course introduces students to the nuts and bolts of Qualitative Comparative Analysis (QCA), an innovative set-theoretic technique that allows for comparisons of small, intermediate or large numbers of cases in order to identify necessary and/or sufficient conditions for an outcome. It is an attractive method for scholars who seek to model causally complex patterns … Continue reading Summer School in Social Research Methods: Introduction to Qualitative Comparative Analysis (QCA) →

The central aim of the course is to enable participants to put in practice state-of-the-art QCA empirical research. Apart from learning how to apply QCA in the best possible way, discussions in class will address from a set-theoretic point of view general methodological issues, such as robustness tests, theory evaluation, case selection strategies, or the … Continue reading Summer School in Social Research Methods: Advanced Applied Qualitative Comparative Analysis (QCA) →