Advanced Qualitative Data Analysis

ECPR Winter School 2020, University of Bamberg, Germany

Key points

  • This course teaches qualitative content analysis, thematic analysis, cross-case analysis and grounded theory in NVivo
  • You must possess a solid grounding 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 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 12. It fills an existing gap in both the literature and in training in that it addresses the above four methods — from data sampling, coding and analysis right through to visualisation in a CAQDAS environment. The first four days of the course are dedicated, a day each, to the four methods, each studied and applied in NVivo in terms of sampling requirements, coding procedures, pattern seeking and reporting conventions. On the last day of the course we look at the possibilities for integrating components of different methods in a single study, thus illustrating the promises, but also the potential pitfalls, of methods integration. The course concludes with a workshop on criteria for assessing qualitative analysis quality. As this is an advanced course, participants will need to have a solid conceptual and practical grounding in qualitative analysis and be advanced NVivo users.

This course requires advanced knowledge of qualitative research and NVivo.

17-21 February 2020 (15 hours over five days).

This course is offered at the University of Bamberg (Germany) as part of the ECPR Winter School 2020.

Register in the ECPR website.

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.


  • 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.

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