Qualitative Methods in the Social Sciences
7.5 credits cr.
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This course aims to introduce students to a range of qualitative methods and techniques for data processing and data analysis
We examine the underlying logic of different qualitative methods and how qualitative researchers approach questions of causality, inference, conceptualization, measurement and social meaning in social science research. Students will become familiar with a range of techniques for data collection and specific methods for interpreting and analyzing data. Students will conduct independent field research and apply a specific qualitative method and technique to data analysis on a selected topic.
The course is provided at half time basis for 10 weeks. Teaching is conducted through lectures, seminars, and student-centered activities.
Course PM - all you need to know
Qualitative Methods in the Social Sciences 2022 (769 Kb)
Intended Learning Outcomes upon completion of this course, students should be able to:
- Identify and describe a range of qualitative methods for data processing
- Demonstrate knowledge of the underlying logic of different qualitative methods
- Evaluate different qualitative methods and techniques for data collection
- Evaluate different qualitative methods and techniques for data analysis
- Apply a specific type of qualitative method to data analysis
Assessment is based on how well students accomplish the Intended Learning Outcomes as demonstrated in written work and participation.
Professor Vanessa Barker
ScheduleThe schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Course literatureNote that the course literature can be changed up to two months before the start of the course.
Directors of studies, all levels
Questions about all master's courses/programmes at the Department of Sociology: firstname.lastname@example.org