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Introduction to Qualitative Comparative Analysis

Course Dates and Times

Monday 24 – Friday 28 July 2023
Minimum 2 hours of live teaching per day
09:30 – 12:00 CEST

Seweryn Krupnik

Jagiellonian University

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.

Purpose of the course

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.

ECTS Credits

4 credits - Engage fully in class activities and complete a post-class assignment

Instructor Bio

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.

Key topics covered

Day 1: Deciding if QCA will work for your research

Learn about QCA as an approach to conduct research. Identify the research questions from your field that could be answered by the approach.

Day 2: Designing your research

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.

Day 3: Analysing your data

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.

Day 4: Using the software

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.

Day 5: Wrapping-up the research

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.

How the course will work online

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.