Course content

In the lectures we will present and discuss the qualitative social research individuality, as well as various qualitative data generation principles and principles of analysis. The course emphasizes a reflection of how the various principles can produce various kinds of qualitative data. In the seminars the students will get some practical training in analysis of qualitative data. Some seminars will be based on presentation of research papers and chapters in class.

Learning outcome

Knowledge - the student shall:

• have insight into the principles of qualitative research methods
• be familiar with the challenges associated with the use of various qualitative research methods

Skills - the student shall demonstrate the ability to:

• analysis qualitative data

Learning methods and activities

Lectures and seminars, according to the lecture plan. Supervision of term paper. The paper is to be an independent discussion of a topic taught in lectures, and is to consist of 20 pages. If 6 or fewer students sign up for a planned course during the first 2 teaching weeks, the course will be offered as an instructed reading course.

Further on evaluation

Form of assessment: Individual paper. An identical version of the exam paper cannot be used directly in the PhD thesis as an article or a chapter. A revised version of the exam paper may be included in the thesis. When repeating a failed exam, the candidate can submit a revised version of a previously submitted paper in the course. If the submission is a revised version of a previously submitted paper, this must be specified in the paper.

Recommended previous knowledge

See requires previous knowledge.

Required previous knowledge

Master's degree in Sociology or equivalent.

Course materials

To be announced at the beginning of the semester.

Credit reductions