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Qualitative Comparative Analysis (QCA): Performing Basics and Advanced Analyses using R - week 2 (RSS2.14) - Closed

This 5-day in-person course exposes you to advanced methodological developments in Qualitative Comparative Analysis (QCA) that allow for further solidifying their results, and enables them to apply state-of-the-art set-theoretic analytic tools in R. The course discusses topics such as Enhanced Standard Analysis (ESA), robustness tests, theory-evaluation, and Set-theoretic Multi-Method Research (SMMR).

Duration: one-week.



    This course is closed, registration is no longer possible. 

    This 5-day in-person course introduces a series of advanced topics in Qualitative Comparative Analysis (QCA) that aim at further solidifying and deepening the understanding of the application of this method and the results produced by it. As QCA continues to evolve, the course exposes you to its latest methodological developments and enables you to apply state-of-the-art set-theoretic analytic tools in R. 

    The course starts by expanding on the problem of limited empirical diversity (i.e., when not all the configurations of conditions in the analysis are represented empirically) and discusses potential strategies for making good counterfactuals assumptions (within the so-called Enhanced Standard Analysis). Throughout the rest of the course, you discuss advanced analytic tools that can be used after a QCA result has been obtained. Among these, you look at set-theoretic robustness and sensitivity and introduce a QCA robustness check protocol, you discuss strategies for confronting situations when the data at hand contains clusters that are potentially analytically relevant, you discuss the use of set-theoretic theory-evaluation as a way of assessing theoretical hunches based on the results generated by QCA. 
    Finally, you discuss set-theoretic multi-method research introducing guidelines for combining QCA with process-tracing in single or comparative case studies.


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    Starting date

    24 June 2024, 9 am
    Educational method
    Main Language
    24 June 2024, 9 am - 28 June 2024, 5 pm
    Ioana-Elena Oana
    Unique code


    Type of education
    Entry requirements
    See the requirements in cost and admission
    Study load (ECTS)
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    Ioana-Elena Oana

    Ioana-Elena Oana

    Ioana-Elena Oana is Research Fellow at the European University Institute focusing on political behavior and public opinion formation, social movements and protest, and EU politics during crises. Regarding research methodology, Nena’s work has a pluralist outlook comprising of QCA, but also semi-automated protest event analysis and survey experiments. She is the main developer of the R package SetMethods (60K CRAN downloads) and has extensive experience in teaching research design, R, and QCA at various international methods schools and universities (IQMR, ECPR, MethodsNET, Lund University, University of Helsinki, EUI, etc.). She has published in European Journal of Political Research, West European Politics, Journal of European Public Policy, Sociological Methods & Research, etc.. She has also co-authored two book monographs, “Coming to terms with the European refugee crisis” and “Qualitative Comparative Analysis (QCA) using R: A Beginner’s Guide” with Cambridge University Press.

    This course is closed, registration is no longer possible. 



    • Regular: €1049 (application deadline 1st of May)
    • Student & PhD's: €699 (application deadline 1st of May)

    Includes: your course, short morning and late afternoon courses, coffee and tea during breaks, a warm lunch every day, Official Opening, MethodsNET Café (including some drinks and snacks) Official Closing (with some drinks and snacks) and a 1-year (2024 calendar year) free membership as MethodsNET regular member.  

    Excludes: transport, accommodation, social events and other costs.

    Discounts and Scholarships


    Level of participant: 

    • Master
    • PhD
    • Postdoc
    • Professional

    Admission requirements: 

    Participants should have some prior experience with QCA, roughly at the level of the material covered in the course ‘Introduction to QCA’. Prior (minimum) experience with QCA in R makes it easier to follow the course. In general, it is helpful if researchers have experience with comparative empirical social research and, ideally, they have their own research project in which they would like to use QCA.

    Admission documents: