Key points

  • 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.

Description
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.

Prerequisites
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 aught.

Schedule
Asynchronous pre-recorded lectures combined with daily, 2-hour live sessions with Zoom from 7-11 February 2022 (Week 1). The course is repeated from 14-18 February (Week 2).

Location
This course is taught online.

Enrolment
Register in the ECPR website.

Fee
See the ECPR website.

Combining courses
This course can be taken as part of the ECPR training tracks.

Key readings

  • 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.

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