HP-607 Qualitative data analysis (Spring 2026)
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Humanities and Education
- Course Leader:
- Ida Marie Høeg
- Lecture Semester:
- Spring
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
Prerequisites
Learning outcomes
On completion of the course, candidates will have acquired:
- Ability to analyse throughout the research project - planning for analysis and doing analysis all the way.
- In-depth knowledge of epistemological, theoretical and methodological positions and assumptions for addressing and discussing conditions for analysis.
- Ability to assess the appropriateness of different methods for analysis of qualitative data.
- Ability to critically reflect upon possibilities and limitations with different ways of doing qualitative analysis
- Ability to identify ethical dilemmas and challenges related to analysis of qualitative data.
Contents
The course aims to give the candidates a comprehensive understanding of analyzing qualitative research material, covering how to do it, in what ways, and for what purposes. The course discusses the resources in data analysis, including how the qualitative material relates to existing research, theory, analytical strategy, and techniques. The course underscores the candidate's analytical work and processes in their own research project. Hence, participants are asked to present their projects and analysis and receive feedback from the course teachers and other members in the course group, ensuring a deep and thorough understanding of qualitative research analysis.
The course will provide insight into analysis through analytical strategies such as oral history analysis, thematic, artefact, and narrative analysis.
Teaching and learning methods
The course is organized over three days and will consist of a combination of lectures, seminar discussions and workshops.
The course language is English. If the candidate group suggests, the teaching can take place in a Scandinavian language.
Examination requirements
Compulsory participation in lectures and workshops.
Presentation of the candidates' reflections on how to do analysis in their research project
Examinations
An individual essay that applies the course literature to the candidates' research projects
Grade: Pass/fail