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Member rate £492.50
Non-Member rate £985.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
*If you attended our Methods School in the last calendar year, you qualify for £45 off your course fee.
Date: Monday 22 – Friday 26 July 2024
Time: 09:00 – 12:15 CEST
This course provides you with 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.
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.
3 ECTS credits awarded for engaging fully in class activities.
1 additional ECTS credit awarded for completing a post-course assignment.
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.
The course covers a combination of introductions of selected topics with interactive live sessions.
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.
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.
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.
Learn about different types of comparisons. You'll learn how they relate to the types of cases and their choice, and the benefits (and limitations) of informed pairwise comparisons.
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.
The course combines asynchronous pre-class assignments, such as readings and watching pre-recorded videos, as well as daily 3 hours of 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. The instructor will also conduct live Q&A sessions and offer designated office hours for one-to-one consultations.
Prior training in research design and qualitative methods is recommended but is not required.
As a participant in this course, you will engage in a variety of learning activities designed to deepen your understanding and mastery of the subject matter. While the cornerstone of your learning experience will be the daily live teaching sessions, which total three hours each day across the five days of the course, your learning commitment extends beyond these sessions.
Upon payment and registration for the course, you will gain access to our Learning Management System (LMS) approximately two weeks before the course start date. Here, you will have access to course materials such as pre-course readings. The time commitment required to familiarise yourself with the content and complete any pre-course tasks is estimated to be approximately 20 hours per week leading up to the start date.
During the course week, you are expected to dedicate approximately two-three hours per day to prepare and work on assignments.
Each course offers the opportunity to be awarded three ECTS credits. Should you wish to earn a 4th credit, you will need to complete a post-course assignment, which will involve approximately 25 hours of work.
This comprehensive approach ensures that you not only attend the live sessions but also engage deeply with the course material, participate actively, and complete assessments to solidify your learning.
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.