Key points

  • This course teaches the origins and procedures for conducting qualitative content analysis, thematic analysis, cross-case analysis and grounded theory in NVivo 12
  • You must possess a solid grounding in qualitative analysis and be an advanced NVivo user
  • The course is the second of a two-course series, the first is Qualitative Data Analysis I that I will teach on 6-10 July 2020.

Description
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. The course 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 12 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.

Prerequisites
This course requires advanced knowledge of qualitative research and NVivo.

Schedule
13-17 July 2020 (15 hours over five days)

Location
This course is offered at the University of Singapore, Singapore, as part of the IPSA-NUS Summer School 2020.

Enrolment 
Register in the IPSA-NUS website.

Fee
See the IPSA-NUS website.

Combining courses
This course comes after the introductory course Qualitative Data Analysis I which I will teach on 6-10 July 2020. For further information, see the IPSA-NUS website.

References

  • 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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