Training
Calendar of Events
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Qualitative Comparative Analysis (QCA)
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)
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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 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
Comparative Research Designs
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
Qualitative Comparative Analysis (QCA): Performing Basics 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
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Introduction to Necessary Condition Analysis (NCA)
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)
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