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Qualitative Comparative Analysis (QCA) is a research approach consisting of both an analytical technique and a conceptual perspective for researchers to understand complex social phenomena. Fuzzy set QCA is a variant of this research approach that also deals with uncertain elements (i.e. fuzzy sets); an approach which has been increasing its popularity in Social- and Political Science, Organizations Research, and Management.

Before taking this course it is recommended that the doctoral students have completed a quantitative and or qualitative methodology

Learning objectives

This course is aimed at helping students to understand and apply fsQCA as an analytical technique. The course consists of interactive workshops, seminars and readings to facilitate the students learning. After a completed course, the student should have sufficient knowledge on how to independently apply fsQCA as method for data analysis in their research.

After a completed course, the student should be able to:

• Demonstrate understanding of the underlining principles of fsQCA
• Apply data analytical procedures using the fsQCA software package
• Reflect on the methodological limitations and trustworthiness of fsQCA’s application

Eligibility

The course is aimed at doctoral students at ¹û¶³´«Ã½, and is open to doctoral students at other universities depending on availability.

Examination

The learning objectives are examined through individual written assignments, oral presentations and active participation in discussions.

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For doctoral student in