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Welcome on my website!

I am a research associate at the University of Geneva, where my primary work focuses on the development and application of empirical research and evaluation methods, including quantitative, qualitative and mixed-approach techniques. In particular, I concentrate on configurational comparative methods (CCMs) such as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). I also have a strong interest in questions of research design. Last but not least, I occupy myself with possibilities to improve the teaching of empirical research methods and data analytics at all levels of higher education. My professional profiles can be found on ResearchGate and Google Scholar.

On this website, you find six further pages. About provides a short CV. Under News, you find information on my latest publications. Commentaries are collected under Blog. Software I have authored can be found under SoftwareTeaching offers material from some courses, seminars and workshops I have taught over the years. My electronic business card can be found under Contact. And Misc is just a collection of links that might be useful to you if you happen to share some of my research interests and/or teaching activities.


Latest News

  • Article on standards of good practice in QCA forthcoming in Political Analysis

The introduction of Qualitative Comparative Analysis (QCA) has revolutionized research on necessary conditions. Standards of good practice for QCA have long demanded that the results of tests for necessity constrain QCA's minimization process so as to enhance the quality of parsimonious and intermediate solutions. Schneider and Wagemann's Theory-Guided/Enhanced Standard Analysis (T/ESA) is currently being adopted as the new state-of-the-art in this respect. However, I demonstrate that, once bias against compound conditions in necessity tests is accounted for, T/ESA will produce conservative solutions, and not enhanced parsimonious or intermediate ones.

  • New comment on QCA evaluation published advance online in Sociological Methodology 

In Sociological Methodology 44(1), Lucas and Szatrowski (2014; abbr. LS) argue that Qualitative Comparative Analysis (QCA) suffers from an in-built confirmation bias, and therefore urge that QCA be abandoned. With this comment, we pursue four related objectives: (1) we explain why correlation-based evaluation designs as used by LS for testing QCA's power of discrimination with respect to causally irrelevant factors are unsuitable; (2) we show how appropriate tests must be constructed; (3) we offer an R function that implements a routine for such tests; (4), we conduct three series of tests, all of whose results indicate that QCA does not suffer from confirmation bias. For more details, visit the article's website.