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virtual

Case Study Research: Method and Practice

Course Dates and Times

Date: Monday 9 – Friday 13 October 2023
Duration: 2.5 hours of live teaching per day
Time: 09:30 – 12:00 CEST

Ingo Rohlfing

ingo.rohlfing@uni-passau.de

Universität Passau

This course offers an immersive online learning environment that employs state-of-the-art pedagogical tools. With a maximum of 16 participants, our teaching team can provide personalised attention to each individual, catering to their specific needs. The course is designed for a demanding audience, including researchers, professional analysts, and advanced students.

Purpose of the course

This course covers key elements of qualitative case studies and process tracing for the purpose of making causal claims about effects or mechanisms. Before the course starts, for each of the sessions, you can watch a recording that sets the stage for the live online sessions.

By the end of the course, you will have a solid understanding of the key concepts and techniques covered, as well as practical experience in their application. This knowledge and experience will equip you with valuable skills that can be applied to your research or professional work.

ECTS Credits

Credits are not availble for this course.


Instructor Bio

Ingo Rohlfing is Professor of Methods of Empirical Social Research at the University of Passau

He researches social science methods with a focus on qualitative methods (case studies and process tracing), Qualitative Comparative Analysis and multimethod research.

Ingo is author of Case Studies and Causal Inference (Palgrave Macmillan) and he has published articles in Comparative Political Studies, Sociological Methods & Research and Political Analysis.

 

Key topics covered

The course covers a combination of introductions of selected topics with interactive live sessions. 

Day 1

Discover the key dimensions of qualitative research useful for understanding the features and goals of a study, for example in terms of the distinction between hypothesis exploration and hypothesis tests.

Day 2

Address the challenge of case selection and types of cases such as the typical case and most-likely case. Discuss different types, what they are good for, and what case selection strategies they imply.

Day 3

Process tracing is introduced, and you will learn how it can be used to study mechanisms. You will distinguish different ways of studying processes, and their pros and cons from a practical and methodological perspective.

Day 4

Learn about different types of comparisons. You'll learn how they relate to the types of cases and their choice, and the benefits (and limits) of informed pairwise comparisons. 

Day 5

Discuss different types of sources and how to use them to derive qualitative observations. This discussion will be complemented by a distinction between different modes of making causal claims, for example, by focusing on the ideas of 'uniqueness' and 'likelihoods'.

In each live session, you will work with your own projects or published case studies to illustrate concepts from the methods literature.

As a part of this course, you will have the opportunity to complete a post-class assignment that allows you to apply the insights gained during the course. This assignment can take the form of an exposé, where you will utilise the course concepts and techniques to analyse and evaluate your own project. Alternatively, you can choose to write a short, methods-focused review of a published case study, demonstrating your understanding of the course material and its practical application.


How the course will work online

The course combines asynchronous pre-class assignments, such as readings and watching pre-recorded videos, as well as daily 2.5 hours live sessions with Zoom. To prevent Zoom fatigue, the course pedagogy includes small-group work, short, focused tasks and troubleshooting exercises using a range of online apps that support collective work and engagement with the course content.

Prior training in research design and qualitative methods is recommended but is not required.