- This course provides researchers with a solid foundation in qualitative data analysis
- The course combines theory, applied exercises and demos in NVivo
- This course can be taken on its own or as part of the ECPR training tracks.
Are you planning to conduct interviews or focus groups for your data collection, or perhaps collect policy papers or social media data from blogs, Facebook or Twitter? After you complete the data collection, you will soon or later have to confront and analyse the mass of data you gathered. But will you know how? This course provides qualitative researchers with a strategic understanding of, and applied skills in, planning, conducting and reporting qualitative data analysis. It addresses central issues often omitted in mainstream qualitative textbooks, such as: What criteria to use in choosing a method of qualitative data analysis? How central is the research question in that choice? What to do after the data are coded? How to seek patterns and relationships when working inductively or deductively? The course, which uses NVivo, teaches these topics and more and puts them into practice during hands-on sessions.
This course assumes no previous knowledge of qualitative data analysis or NVivo, but requires basic understanding of qualitative research. Only the basic features of NVivo are taught.
Due to its popularity, this course is offered during Week 1 and Week 2 of the Summer School.
- Week 1: Daily live teaching on Zoom from 11:00-13:00 CEST from 24-28 July 2023 combined with prerecorded lectures.
- Week 2: Daily live teaching on Zoom from 8:30-10:30 CEST from 31 July – 4 August 2023 combined with prerecorded lectures.
This course is taught online.
Register in the ECPR website.
See the ECPR website.
This course can be taken as part of the ECPR training tracks.
- Bazeley, P. (2009). Analysing Qualitative Data: More Than Identifying Themes. Malaysian Journal of Qualitative Research, 2(2), 6-22. Retrieved from http://www.researchsupport.com.au/Bazeley_MJQR_2009.pdf.
- Coffey, A., & Atkinson, P. (1996). Making Sense of Qualitative Data: Complementary Research Strategies. Thousand Oaks: Sage.
- Miles, M. B., & Huberman, A. M. (1994). Qualitative Data Analysis: An Expanded Sourcebook (2nd ed.). Thousand Oaks: Sage.
- Ritchie, C., Lewis, J., McNaughton Nicholls, C., & Ormston, R. (Eds.). (2014). Qualitative Research Practice: A Guide for Social Science Students and Researchers. London: Sage.
- Tesch, R. (1990). Qualitative Research: Analysis Types and Software Tools. New York: Falmer Press.
This course was taught at
As a freelance methodologist, I train social scientists and humanitarian practitioners in qualitative analysis, decolonising research and participatory methodologies. I coach research teams, teach doctoral-level courses in method schools and I consult for humanitarian aid agencies worldwide.