At this year’s ICPSR Summer Program, Professor Ingo Rohlfing will offer an introductory QCA course (virtual/remote) from July 24 to 28. The course introduces participants to the complete QCA workflow and its implementation in RStudio. The course is virtual with a combination of live sessions and recordings for asynchronous following. Here is the course outline:

QCA can be used to answer any substantively motivated research question if one is interested in analyzing patterns of necessity and sufficiency. There is neither a limit in the number of cases that one can process nor with regard to the nature of the data that can be micro data, macro data or a mix of data types. If you believe that the empirical phenomenon you want to explain in your research requires a set-relational perspective, potentially including a complex interplay of multiple conditions, and you want to use QCA, then this course is for you. The course introduces participants to the logic and techniques of QCA on an applied level using R/RStudio. You will be introduced to the basic principles and requirements of sound QCA research and learn how to implement them using R. At the end of the course, participants will be familiar with the key elements of a QCA study. They will know how to read, criticize and implement an empirical QCA study. Basic knowledge of QCA, set-theoretic thinking and R is useful, but not necessary for taking the course.