MET512 Advanced Qualitative Methods
Autumn 2022Spring 2023
This course is designed to develop proficiency in collecting, analyzing, and reporting qualitative data, using a variety of qualitative tools and methods, including case studies, ethnography, and grounded theory. We use "how-to" books and articles that describe how to conduct qualitative research and analyze recent "exemplar" articles published in top-tier journals. The course is highly interactive. In addition to reading about methods and examining exemplars, students will practice crafting qualitative research to explore how it can effectively be used in their own dissertation projects. The course takes the students through the full cycle of qualitative research from research design to data collection, data analysis, writing it up and publishing.
Week 1: Designing and collecting qualitative research
* Design of qualitative studies
* Ethical issues during data collection
* Field work/Collecting data
Between week 1 and week 2 students are expected to collect some qualitative data for the course paper.
Week 2: Interpreting and theorizing qualitative data
* Coding practices and first-order analysis
* Analyzing variance and processes
* Analyzing and interpreting social interaction
* The art of theorizing and theory development
* Writing up and presenting qualitative data
* Publishing qualitative research and making a theoretical contribution
After completion of the course, the students will be able to:
- Critically evaluate advantages and disadvantages of different types of qualitative research
- Critically assess qualitative methods available and making appropriate methodological and analytical choices.
- Critically consider a range of criteria to evaluate the quality of research and tactics.
- Formulate and present a first draft of a research paper using qualitative research methods.
- Identify and formulate qualitative research designs and chose appropriate methods to answer their research questions.
- Critically chose and evaluate appropriate strategies for analysing, theorising, and publishing from qualitative data.
- Communicate and discuss research in a clear cut manner.
- Discuss and raise questions about issues that are relevant to their theses and thereby develop their own research projects.
Teaching is based on active participation of the students.
Maximum number of participants: 20
PhD candidates from NHH as well as PhD candidates from other national and international higher education institutions can take part in the course.
Motivated master's students at NHH may be admitted after application, but are subject to the approval from the course responsible on a case by case basis. Individuals outside academia may be admitted after application, but are subject to the approval from the course responsible and the Vice Rector for Reserach on a case by case basis.
Credit reduction due to overlap
- Presentation of course paper during week II
The course grade (A-F) is based on the individual course paper and participation
- Final course paper 80 % : Due on August 10, 2022.
- Participate in class discussions 20%.
Grading scale A-F.
Library databases, word processing, some knowledge in organizing data.
The literature consists of a reading package and online materials to conduct a `real-time´ learning experience that blends theory, analysis, interpretation and collegial interaction.
Cresswell, John, W. 2013. Qualitative Inquiry and Research Design, Choosing Among Five Approaches. Sage Publications.
NHH uses Canvas as the online teaching platform. Lecture notes, announcements, resources, and other related material will be posted on Canvas. Each student has the responsibility to regularly check and download material from Canvas.
- ECTS Credits
- Teaching language
Offered Spring 2022.
Course dates will be posted on Department of Strategy and Management's web pages.
Professor Inger Stensaker, NHH (main responsible)
Professor Christine Meyer, NHH