The course is available as a singular course.
Participants must be enrolled in a PhD program or a Student Research Program at UiT or another Norwegian/Nordic university. PhD students from other universities may also apply.
Participants are assumed to have basic skills in qualitative methodology; theory of science, research design and research ethics. We recommend students to start with or fulfil HEL-8040 (or an equivalent course) before taking this course.
The course will be held only with a minimum of 6 participants.
Application code: 9301
The course will provide in-depth knowledge of various approaches to qualitative data analysis and their connection to theoretical perspectives and methodology. It is a specialised and advanced course relevant for students in medicine, health sciences and social sciences. The course is relevant for those who work with qualitative or mixed methods, and others who want to obtain these qualifications.
The course is about how to perform data analysis in qualitative research. Students will obtain knowledge, skills and competence that enable them to judge, select, design and perform qualitative analyses of a wide range of qualitative data based on sound and consistent methodologies. Methodologies include epistemological perspectives, theoretical framing, analytical strategies and modes of interpretation. The phase of data-analysis is the main component, but the course also entails training in critically evaluating qualitative research, how to write up results, and how to write for international journals.
We will also cover how to carry out qualitative data analysis with computer software for qualitative research involving text-based or multimedia data (ie. NVivo).
Skills: After the course, the student is expected to be able to
Competence: After the course, the student is expected to be able to
The course will run through six days, divided into two workshops during one semester. Both workshops contain didactic teaching through lectures, group-working sessions, and interactive discussion and feedback. Individual reading toward knowledge assimilation is a requirement. It includes pree-course work in the form of reading the literature connected to the course.
There will be a mixture of teacher-led and student-led activities throughout each day of the course. Students will be expected to take an active and dynamic part of all coursework. We encourage students to put their knowledge into practice through group sessions that aim to improve practical skills and general competence.
Lectures and group-sessions will cover interpretations of various kinds of qualitative data sources, such as interview data collected solo or in groups; experiential autobiographical texts and images; observational data and dialogical conversation-data from naturally occurring situations. We cover theories, perspectives and methods from a wide range of research traditions.
Mandatory work requirements:
An individually written home exam over two weeks on a given topic, length 2000 - 3000 words (written in English). Graded as pass or fail.
A re-sit exam will be arranged for this course