module 03: qualitative data analysis with NVIVO

module 03: qualitative data analysis with NVIVO

  • module 3: Qualitative data analysis with NVIVO
    09/09/2019 - 10/09/2019
    9:30 am - 5:00 pm
    Mon 9/09: 9.30 am - 5.00 pm | S8 pc room 1.1
    Tue 10/09: 9.30 am - 5.00 pm | S8 pc room 1.1

Course details

week 1


This course combines the basic concepts of qualitative data analysis with the essential features of NVivo. This is the course you need if you are new to qualitative analysis and want to use NVivo from a methodological standpoint. The course is structured around four modules that follow the logical sequence of the qualitative analysis process. You will learn to: relate epistemology, methodology and methods of qualitative analysis; organise a qualitative dataset; differentiate approaches to coding qualitative data; seek patterns and identify relationships inductively and deductively; generate hypotheses; create second-level constructs; present findings using visualisations; export data; and share projects. The course blends lectures with hands-on exercises in which learned concepts are put into practice. Note that this course teaches only the most salient features of NVivo (for a more comprehensive course on NVivo, see the Introduction to NVivo course.

Course structure

This course is entirely hands-on. Participants work with sample data, although they may work on their own data for the last hour of the course.

Open-access references

  • Bazeley, P. and Jackson, K. (2013). Qualitative Data Analysis with NVivo (2nd ed.). London: Sage. Chapter 1: Perspectives: Qualitative computing and NVivo.
  • Bazeley, P. and Jackson, K. (2013). Qualitative Data Analysis with NVivo (2nd ed.). London: Sage.   Chapter 2: Starting out, with a view ahead.
  • Bazeley, P. (2009). Analysing Qualitative Data: More Than Identifying Themes.   Malaysian Journal of Qualitative Research, 2(2), 6-22.
  • QSR International. NVivo Getting Started Guide.


Although no previous knowledge of NVivo is required, participants should have some familiarity with qualitative research.


Marie-Hélène Paré is an eLearning consultant who lectures in programme evaluation in the Master in Health Social Work at the Open University of Catalonia, and a qualitative data analysis consultant. She was educated in Quebec, Beirut and Oxford, where she read social work. A clinician by training, Marie-Hélène worked for several years in psychosocial care with survivors of war rape and war trauma in humanitarian emergencies for MSF, MDM and UNRWA in war-torn countries. She moved to academia to research community participation in mental health and psychosocial support and research in humanitarian emergencies, which she studies using mixed methods. Marie-Hélène has lectured in qualitative data analysis in more than forty universities and research centres worldwide, including universities in Iran and Qatar. Since 2009 she has been an instructor for the annual courses on qualitative data analysis at the ECPR Methods School.


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