Participants will not only increase their proficiency in R, but will also engage into discussions on more general methodological issues of good comparative research, such as principles and practices of case selection, concept formation, measurement validity, and forms of causal relations.
Course structure / We start with some basics of formal logic and set theory. Then we introduce the notions of sets and how they are calibrated. After this, we move on to the concepts of causal complexity and of necessity and sufficiency, show how the latter denote subset relations, and then learn how such subset relations can be analyzed with so-called truth tables. We learn how to logically minimize truth tables and what the options for the treatment of so-called logical remainders are. Once students master the current standard analysis practice, we discuss several extensions and possible improvements of QCA. Depending on the needs and interests of participants, we choose several topics from the following list: set-theoretic multi-method research, i.e. the combination of QCA with follow-up within-case analyses; the integration of time into QCA; theory-evaluation in set-theoretic methods; or QCAspecific procedures for robustness tests.