Key points

  • 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
  • The course can be taken alone or in conjunction with the advanced course Qualitative Data Analysis II that I will teach on 10-14 July 2023.

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.

Onsite schedule
The onsite course is taught on 3-7 July 2023 from 9:00-12:30 SGT.

Online schedule
The online course is taught on Zoom on 3-7 July 2023 from 14:30-16:30 SGT. Zoom sessions will not be recorded. Participants enrolled in the online course will watch prerecordings in preparation to the daily live sessions in Zoom.

The onsite course is taught at the University of Singapore as part of the IPSA-NUS Summer School 2023.

Please contact the IPSA-NUS Summer School for enrolment.

See the IPSA-NUS website.

Combining courses
This course precedes the advanced course Qualitative Data Analysis II which I will teach on 10-14 July 2023. For further information, see the IPSA-NUS website.

Key readings

  • Bazeley, P. (2009). Analysing Qualitative Data: More Than Identifying Themes. Malaysian Journal of Qualitative Research, 2(2), 6-22. Retrieved from
  • 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.

© 2019 Marie-Hélène Pare | All Rights Reserved | Privacy | Site by Inzone