Introduction to Qualitative Comparative Analysis (QCA) using R
18-20 April, 2024
Prof. dr. Eva Thomann (University of Konstanz)
- Free for NIG members
- €500,- for non-members from an NIG member institution
- €750,- for third parties
NIG members can cover the fee for this course with the one-time grant that reimburses up to 500 euros. This applies for PhD members who take part in the full program, and who have participated in at least three core curriculum courses, subject to conditions.
Registration will open in the first week of December via this link.
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 and integrate in-depth case knowledge at all stages of the analysis. We will introduce you to performing QCA with the freely available R software using the user-friendly RStudio environment. We will primarily discuss QCA as a case-oriented approach to small- and intermediate N comparisons. The intensive two-day course has a practical focus and combines theoretical blocks with many hands-on labs entailing exercises and quizzes. We will use real-life data to replicate a published study and discuss examples from the participants’ own research projects in class. The course covers the following topics:
• QCA: Origin, variants, uses and approaches
• Set theory and causal complexity
• Defining, structuring, measuring and calibrating concepts as sets
• Analyses of necessity and sufficiency
• Truth tables, limited diversity and counterfactual reasoning
• Conservative, intermediate and parsimonious solution types
· Understanding of the logic and technical working of QCA
· Basic familiarity with the application of QCA in R
· Familiarity with core QCA readings
· Ability to integrate a basic QCA in own research project.