RSS01.B3 ​​Qualitative Data Analysis: Concepts and Techniques​

Reliance on qualitative data has traditionally been the hallmark of academic inquiry in social sciences. In recent years, the widespread usage of qualitative data has been accompanied by significant efforts towards professionalization of data work.  To empower participants to effectively use qualitative data from interview or focus group transcripts, documents, media and social media data, observation notes, and other data sources, this course takes a holistic and pragmatic approach.

The course introduces key concepts, strategies, and techniques for qualitative data analysis by grouping them as solutions to four sets of challenges which, if not properly addressed, can threaten confidence in qualitative research. These sets of issues are: first, decontextualized collection and analysis of data; second, data overload vs. overly tight or sketchy application of one’s own conceptual lenses; third, doubts about the quality of conclusions; and fourth, opaque documenting and reporting. By combining interactive lectures and class assignments with small group work and exercises on sample data in NVivo, the course treats each of these four issues and offers solutions that can be effectively employed in dealing with them.

With such a problem-solution approach, participants are not only introduced to key concepts and elements of qualitative data analysis but are also empowered to engage in reflective design and implementation of their own data work.

Detailed program (pdf, 112 kB)