For your research, if you've ever wanted to understand and model causal effects in a rigorous way that reflects the complexity of the real-world. NCA understands a cause as a necessary (but not sufficient) condition, rather than a probabilistic cause (as in regression analysis). “Necessary” means that a certain outcome will not occur without a … Continue reading Introduction to Necessary Condition Analysis (NCA) →

This workshop offers an intensive 4-day introduction to causal modeling with Coincidence Analysis (CNA), a relatively new configurational comparative method of data analysis geared towards causal complexity, which has seen a considerable uptick in applications in recent years. No prior knowledge of CNA is required. In plenary lectures, the main developer of CNA, Michael Baumgartner, and … Continue reading Introduction to Causal Data Analysis and Modeling with Coincidence Analysis →

The goal of this workshop is to provide a ground-up introduction to Qualitative Comparative Analysis (QCA) and fuzzy sets. Participants will get intensive instruction and hands-on experience with the fsQCA software package and on completion should be prepared to design and execute research projects using the set-analytic approach. CHF 1’100.00 for Master/Phd students and CHF … Continue reading Qualitative Comparative Analysis (QCA) →

The purpose of this course is to provide training on all aspects that enable a researcher to build and implement the most appropriate comparative research design – the latter broadly defined as any research enterprise that comprises at least two ‘cases’ or observations. On the one hand, the course will cover a few fundamental upstream … Continue reading Comparative Research Designs →

This is a methodological course on set-theoretic methods for the social sciences. While the spectrum of set-theoretic methods is broad, including techniques such as Mill’s methods or typological theory, this course primarily focuses on Qualitative Comparative Analysis (QCA). Invented by Charles Ragin , this technique is still undergoing modifications, improvements, and ramifications with applications in … Continue reading Qualitative Comparative Analysis (QCA): Performing Basic and Advanced Analyses using R →

This is a methodological course on set-theoretic methods for the social sciences. While the spectrum of a set-theoretic methods is broad, including techniques such as Mill’s methods or typological theory, this course primarily focuses on the crisp-set and fuzzy-set versions ofQualitative Comparative Analysis (QCA). Invented by Charles Ragin , this technique isstill undergoing modifications, improvements, … Continue reading Qualitative Comparative Analysis (QCA): Performing Basics and Advanced Analyses using R →

This doctoral course will teach you the fundamentals of Necessary Condition Analysis (NCA) and help you design your first NCA research project. Necessary Condition Analysis is an innovative research method for identifying necessary (but not sufficient) conditions in data sets. Allowing you to separate the "need-to-haves" from the "nice-to-haves", NCA offers compelling practical advice and … Continue reading ​​Introduction to Necessary Condition Analysis (NCA)​ →

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: … Continue reading Qualitative Comparative Analysis Training →

The PDW includes 3 Parts. If you have no or only a little knowledge of, and experience with, QCA you can join us during Part 1 to learn the basic “nuts and bolts” of QCA and configurational logic and understand if this might be the right tool for your research project. If you’re joining us … Continue reading Qualitative Comparative Analysis (QCA): A Set-Analytic Approach To Studying Configurations →