Kursplan för studenter vår 2024

After completing the course, students should be able, within the areas below, to:

• demonstrate broad knowledge and understanding of the development of different qualitative approaches according to scientific theory and methodology.
• explain when it is appropriate to use different qualitative approaches.

• independently and creatively identify and prepare research questions that are suitable for a qualitative approach.
• critically and with scientific accuracy analyse qualitative data to answer a research question
• independently identify an appropriate data collection method based on a specific qualitative approach

• evaluate how different ethical dilemmas relate to qualitative approaches.
• assess the trustworthiness of a qualitative approach and demonstrate scientific probity.

- qualitative research methodology
- the theoretical scientific grounds for qualitative approaches
- research questions in relation to choice of approaches, data collection method and data analysis
- research ethics

The course is comprised of lectures and seminars. The course is performed every three terms, every other time on campus and every other time web-based
The teaching is conducted in English.

Undervisningen bedrivs på engelska.

För tillträde till kursen krävs 240 hp varav 60 hp på avancerad nivå, inklusive examensarbete 15 hp (eller motsvarande kurskaper).

Kursen bedöms med betygen Underkänd eller Godkänd.

The course is graded Fail (U) or Pass (G).
The course examination is comprised of an individually written assignment, a respondent and opposition seminar and seminars.
The course examiner is an associate professor or professor.

Examinationsmoment	Omfattning	Betyg
Individuell skriftlig inlämning	3,5 hp	U/G
Seminarier	2,5 hp	U/G
Respondent och opponent seminarium	1,5 hp	U/G

Attendance in seminars is mandatory.
The course is run as part-time study unless otherwise stated.
Selection

1. Students registered in the Research School of Health and Welfare
2. Students registered in researcher education from another seat of learning
3. Other applicants: credits (with equal credits, drawing of lots)

Grbich, C. (2013). Qualitative data analysis; An introduction.Sage.

Further scientific articles and reports may be added.

The most recent editions of course literature should be used.