12 Apr module 03: qualitative data analysis with NVivo
- module 3: qualitative data analysis with NVivo
07/09/2020 - 08/09/2020
9:30 am - 5:00 pm
Mon 07/09: 9:30 am - 5:00 pm | online
Tue 08/09: 9:30 am - 5:00 pm | online
week 1 | register now
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 in an NVivo project; differentiate approaches to coding qualitative data; seek patterns and identify relationships inductively and deductively; generate hypotheses; create second-level constructs and meta-themes; present findings using visualisations and prepare an audit trail of the analysis process. The course blends lectures with hands-on exercises in which the concepts seen in class are put into practice.
This course is entirely hands-on. Participants will work with sample data to learn NVivo’s functionalities. Time is also allocated to work on one’s research design and data in NVivo.
- 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 teaches qualitative research methods at the Open University of Catalonia (UOC) and is a freelance methodologist in qualitative data analysis. She was educated in Quebec, Beirut and Oxford where she read social work. In the last 15 years she has taught seminars and courses in qualitative data analysis in more than forty universities and research centres worldwide, including universities in Qatar and Iran. Marie-Hélène is annual instructor for the introductory and advanced courses in qualitative data analysis at the ECPR Winter and Summer School in Germany and Hungary, the IPSA Summer School at the National University of Singapore and for the NVivo course at the FLAMES Summer School in Belgium. She is an NVivo Certified Platinum Trainer by QSR International. You can know more about Marie-Hélène’s work at www.mariehelenepare.com and follow her at @TheQualAnalyst on Twitter and Facebook.