FsQCA is a set-theoretic technique that uses fuzzy sets to analyze causal complexity. It allows for the comparison of cases as configurations of factors and making inferences based on the notions of causal necessity and sufficiency. This method is particularly relevant for addressing questions in an exploratory manner. This is a middle-ground between qualitative and quantitative methods. It combines the richness of in-depth case inquiry in qualitative methods with the objective and generalizable properties of quantitative methods. Two main areas will be covered in this workshop: the foundations of fsQCA and hand-on experience with its software. A basic prior understanding of fuzzy sets will be helpful (but not necessary) for participants.
Hessam Sarooghi, Lacy School of Business, Butler University, USA