Qualitative Data Analysis I
- This course provides graduate students as well as researchers alike with a solid foundation in qualitative data analysis
- The course combines theory of qualitative analysis, applied exercises in one’s research and demos in NVivo 12
- The course can be taken alone or in conjunction with the advanced course Qualitative Data Analysis II taught on 13-17 July 2020.
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? If you do any of the above, you will soon or later have to confront and analyse your compiled data. But will you know how? This course provides 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 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 12 for Windows or Mac, explored these topics and more and puts them into practice in hands-on sessions. Participants are encouraged to use NVivo or another qualitative software of their choice provided they are adept in its use.
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 will be taught.
6-10 July 2020 (15 hours over five days)
This course is offered at the University of Singapore, Singapore, as part of the IPSA-NUS Summer School 2020.
Register in the IPSA-NUS website.
See the IPSA-NUS website.
This course precedes the advanced course Qualitative Data Analysis II which will be taught on 13-17 July 2020. For further information, see the IPSA-NUS website.
- 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.