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Monday 24 – Friday 28 July 2023
Minimum 2 hours of live teaching per day
09:30 – 12:00 CEST
This course offers an interactive online learning environment using advanced pedagogical tools, and is specifically designed for advanced students, researchers, and professional analysts. The course is limited to a maximum of 16 participants, ensuring that the teaching team can address the unique needs of each individual.
Upon completion of this course, you will have a solid understanding of the fundamentals of qualitative comparative analysis 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.
4 credits - Engage fully in class activities and complete a post-class 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.
You will be expected to actively participate in the class, read recommended literature, and design simple research with the use of qualitative comparative analysis.
The course combines pre-class readings and pre-recorded videos with two hour daily live Zoom sessions. The objective of the sessions will be to discuss the reading and videos and help you in designing your research.
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.
Each course includes pre-course assignments, including readings and pre-recorded videos, as well as daily live lectures totalling at least two hours. The instructor will conduct live Q&A sessions and offer designated office hours for one-to-one consultations.
Please check your course format before registering.
Live classes will be held daily for two hours on a video meeting platform, allowing you to interact with both the instructor and other participants in real-time. To avoid online fatigue, the course employs a pedagogy that includes small-group work, short and focused tasks, as well as troubleshooting exercises that utilise a variety of online applications to facilitate collaboration and engagement with the course content.
In-person courses will consist of daily three-hour classroom sessions, featuring a range of interactive in-class activities including short lectures, peer feedback, group exercises, and presentations.
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 these prerequisite items. If in doubt, please contact us before registering.