- This course teaches qualitative content analysis, thematic analysis, cross-case analysis and grounded theory in NVivo
- You must possess a solid conceptual grounding and hands-on experience in qualitative analysis, and be an advanced NVivo user
- This course can be taken on its own or as part of the ECPR training tracks.
This five-day course offers advanced training in conducting qualitative content analysis (Schreier, 2012), thematic analysis (Boyatzis, 1998), cross-case analysis (Miles and Huberman, 1994) and grounded theory (Strauss and Corbin, 1998) using NVivo. The course fills a critical gap in both the scholarly literature and in graduate training by providing step-by-step guidance in how to choose sampling, code data, conduct analysis and present findings of the four methods in a CAQDAS environment. The first four days of the course are dedicated, a day each, to the four methods where we explore each method’s epistemological foundations, its sampling requirements, coding procedures, pattern seeking techniques and visualisation styles. On the last day, we explore the possibility of integrating different components of the five methods in a single study, thus illustrating the promises, but also the potential pitfalls, of method integration. The course ends with a workshop where participants critically review the criteria published thus far in the qualitative literature for assessing the quality of qualitative analysis, and put forward recommendations for reporting this phase of qualitative research in qualitative outlets.
As this is an advanced course, participants need to have a solid conceptual grounding and hands-on experience in conducting qualitative analysis, and be advanced NVivo users.
This course requires advanced knowledge of qualitative research and NVivo.
Asynchronous pre-recorded lectures combined with daily, 2-hour live sessions with Zoom from 16-20 August 2021.
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.
- Barbour, R. S. (2014). Quality of Data Analysis. In U. Flick (Ed.), The Sage Handbook of Qualitative Data Analysis (pp. 495-509). London: Sage.
- Boyatzis, R. E. (1998). Transforming Qualitative Information: Thematic Analysis and Code Development. Thousand Oaks: Sage.
- Burns, N. (1989). Standards for qualitative research. Nursing Science Quarterly, 2(1): 44-52.
- Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Thousand Oaks: Sage.
- Miles, M. B., & Huberman, A. M. (1994). Qualitative Data Analysis: An Expanded Sourcebook (2nd ed.). Thousand Oaks: Sage.
- Schreier, M. (2012). Qualitative Content Analysis in Practice. London: Sage.
- Strauss, A. L., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Newbury Park: Sage.
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.