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Level
Level: IntroductorySoftware
Member rate £572.50
Non-Member rate £1,145.00
Early bird discount available until 14 December 2026.
Save £45.00 Loyalty discount applied automatically*
Save 5% on each additional course booked
* If you attended a qualifying previous Methods School in 2026, you qualify for £45.00 off your course fee.
Date: Monday 22 – Friday 26 February 2027
Time: 09:30 – 12:30 CET
This interactive course uses advanced pedagogical tools and is designed for master's-level students and above. It runs as three-hour live sessions on Zoom over five days, with course materials and pre-course readings available on our Learning Management System at least two weeks before the start. Office hours are also available for one-to-one consultations on your own project.
The course is limited to 18 participants, ensuring that the teaching team can address the individual needs of each participant.
Upon completion of this course, you will have a solid understanding of the fundamentals of qualitative comparative analysis (QCA) and how to apply it to a research project within your area of study. This knowledge and practical experience will equip you with valuable skills for conducting in-depth research and analysis in your field.
3 ECTS credits awarded for engaging fully in class activities.
1 additional ECTS credit awarded for completing a post-course assignment.
Seweryn Krupnik is an Assistant Professor at the Department of Sociology of Economy, Education and Methods of Social Research, Institute of Sociology, Jagiellonian University, Kraków, Poland. In 2015-2018, head of the Center for Evaluation and Analysis of Public Policies at Jagiellonian University. Currently a Senior Researcher in this unit. A specialist in the field of evaluation research methodology. His research has appeared in leading evaluation and energy policy journals including Evaluation: The International Journal of Theory, Research and Practice and Energy Research & Social Science.
Seweryn has broad experience in policy and business consultancy, including skills development programmes. He provided training on Qualitative Comparative Analysis to both academic and non-academic audiences.
Learn about QCA as an approach to conduct research. Identify the research questions from your field that could be answered by the approach.
Learn the basic steps of designing QCA, with a special focus on measurement and calibration. Specify your analysis and define outcome, conditions, and the data you want to analyse.
Discuss the crucial steps of the QCA as analytical technique: analysis of necessity and sufficiency. You'll learn the standards of proper analysis and main challenges you will encounter in the real-world study.
Learn about the landscape of available software. Discuss pros and cons of working with GUI software and R packages. The analysis using fs/QCA Software will be showcased and resources for analysis in R will be provided.
Learn how to interpret and communicate the results of the analysis. You will discuss the main critical messages you may encounter while communicating your research to academic and non-academic audience and how to address them.
Prior knowledge of social science methodology would be helpful for this course. You are encouraged to come to the course with your own research questions that could potentially be answered with QCA. This will allow you to apply the knowledge and skills gained in the course to a relevant and meaningful research project.
The course includes three hours of live teaching each day for five days, alongside readings and other learning activities.
Once you have registered and paid, you will receive access to our Learning Management System (LMS) approximately two weeks before the course start date. Course materials, including pre-course readings, will be available here. Allow approximately 20 hours per week before the course to review the materials and complete readings and any pre-course tasks.
During the course week, you should allow approximately two to three hours per day for preparation and assignments, in addition to the live teaching sessions.
The course offers the opportunity to earn three ECTS credits. To earn a fourth credit, you will need to complete a post-course assignment involving approximately 25 hours of work.
This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.
By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach prerequisite items. If in doubt, please contact us before registering.