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May 2022
Introduction to Causal Data Analysis and Modeling with Coincidence Analysis
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. In plenary lectures, the main developer of CNA, Michael Baumgartner, and a team of experienced CNA methodologists and practitioners will guide participants through the nuts and bolts of configurational data analysis as well as cutting-edge methodological innovations. In smaller practice groups, the instructors will demonstrate how to make the most of current software…
Find out more »June 2022
Summer School in Social Research Methods: 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 questions: why compare; what is the added value of comparison? What are the logical underpinnings and mental operations behind comparison? What should be the mindset…
Find out more »Summer School in Social Research Methods: Introduction to Qualitative Comparative Analysis (QCA)
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…
Find out more »Summer School in Social Research Methods: Advanced Applied Qualitative Comparative Analysis (QCA)
The central aim of the course is to enable participants to put in practice state-of-the-art QCA empirical research. Apart from learning how to apply QCA in the best possible way, discussions in class will address from a set-theoretic point of view general methodological issues, such as robustness tests, theory evaluation, case selection strategies, or the role of time and temporality in descriptive and causal inference. Core topics: Enhanced Standard Analysis; QCA Robustness Test Protocol; clustered data; Set-Theoretic Theory Evaluation; Set-Theoretic…
Find out more »Qualitative Comparative Analysis (QCA): A set-analytic approach to studying organizational configurations
This 3-day online PhD course is part of the ERIM Summer School of the Rotterdam School of Management, Erasmus University. The course introduces you to the nuts and bolts of QCA. It is structured in six sessions (each ½ days) covering the history of QCA, the logics of case selection and research designs, small-N QCA, large-N QCA, configurational research in management, and advanced topics in QCA. Throughout the course, we will also explore opportunities for you to use QCA for…
Find out more »August 2022
Qualitative Comparative Analysis: An Introduction to Research Design and Application
This intensive 5-day workshop gives a thorough introduction to the foundations and advanced functions of QCA, placing emphasis on research design and empirical application. The course is based on Patrick Mello’s Qualitative Comparative Analysis: An Introduction to Research Design and Application (Georgetown University Press 2021). The workshop sessions are complemented by illustrations and exercises, using the R Software environment and relevant R packages. The intensive full-day format (7-8 teaching hours per day) in a small group setting provides a friendly…
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