Qualitative Data Analysis: Concepts and Approaches

ECPR Summer School 2020, Central European University, Hungary

Key points

  • This course provides researchers with a solid foundation in qualitative data analysis
  • The course combines theory, applied exercises and demos in NVivo 12
  • 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? 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, 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.

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 will be taught. 

Schedule
TBC in August 2020 (15 hours over five days).

Location
This course is offered at the Central European University (Budapest, Hungary) as part of the ECPR Summer School 2020.

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. For further information, see the ECPR website.

References

  • QSR International. NVivo Online Help for Windows and for Mac.
  • 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.

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