This course is closed, registration is no longer possible.
This 5-day in-person course introduces a series of advanced topics in Qualitative Comparative Analysis (QCA) that aim at further solidifying and deepening the understanding of the application of this method and the results produced by it. As QCA continues to evolve, the course exposes you to its latest methodological developments and enables you to apply state-of-the-art set-theoretic analytic tools in R.
The course starts by expanding on the problem of limited empirical diversity (i.e., when not all the configurations of conditions in the analysis are represented empirically) and discusses potential strategies for making good counterfactuals assumptions (within the so-called Enhanced Standard Analysis). Throughout the rest of the course, you discuss advanced analytic tools that can be used after a QCA result has been obtained. Among these, you look at set-theoretic robustness and sensitivity and introduce a QCA robustness check protocol, you discuss strategies for confronting situations when the data at hand contains clusters that are potentially analytically relevant, you discuss the use of set-theoretic theory-evaluation as a way of assessing theoretical hunches based on the results generated by QCA.
Finally, you discuss set-theoretic multi-method research introducing guidelines for combining QCA with process-tracing in single or comparative case studies.
