Cologne, Germany

Mixed Methods and Multimethod Research

online course
when 17 August 2020 - 21 August 2020
language English
duration 1 week
credits 4 EC
fee EUR 320

This course deals with mixed-methods and multimethod research (MMR) in the social sciences. We will discuss the broader understanding of combining qualitative and quantitative methods (mixed methods) and the narrower approach of nested analysis. The course aims to reflect the diversity of MMR studies in the discipline to accommodate participants' projects. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.
The goal of the course is to understand the different varieties in which MMR can be done. We discuss the unique advantages and methodological and practical challenges confronted in mixed-method research.
Topics include the variety of mixed-method designs that are available; the use of concepts in the qualitative and quantitative analysis, case selection for qualitative research, the compatibility of theoretical expectations in the qualitative and quantitative analysis. The discussions are illustrated with examples from different fields of political science. By the end of the course, participants will be able to realize their own mixed-methods study in a systematic manner, and to critically evaluate published MMR studies.

Course leader

Prof. Dr. Ingo Rohlfing, holds a professorship in Methods of Comparative Political Research at the Cologne Center for Comparative Politics of the University of Cologne, Germany.

Target group

Participants will find the course useful if:
- they realize or plan to realize a project with a causal research question,
- that is answered by combining a statistical technique or QCA with a qualitative technique;
- they are familiar with single-method research and want to explore ideas on how to combine multiple techniques;
- they are interested in learning about the opportunities and limits of mixed-method and multimethod research.

Prerequisites:
- Basic knowledge of the two (or more) methods that participants want to apply in their projects.
- Familiarity with meaning and standards of causal inference and causal explanation.

Course aim

By the end of the course participants will:
- be familiar with different varieties of mixed-method designs and the research questions that one can answer by implementing them;
- be able to choose and devise a mixed-method design suitable for answering their own research question;
- be familiar with the main design decisions in mixed-methods research;
- know the methodological and practical challenges of realizing mixed-methods research.

Credits info

4 EC
- Certificate of attendance issued upon completion.
Optional bookings:
- 4 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper/report of about 6000 words to the lecturer(s) up to 4 weeks after the end of the summer school (EUR 50).

Fee info

EUR 320: Student/PhD student rate.
EUR 480: Academic/non-profit rate.
The rates include the tuition fee and the course materials.

Scholarships

5 scholarships for participation in one main course are available from the European Survey Research Association (ESRA).