Qualitative Data Analysis with NVivo (online)
- This short course provides basic training in NVivo for qualitative data analysis
- This is a bring-your-laptop course where you must run NVivo for Windows or Mac
This short course gives an insight into NVivo’s potential for managing, coding, analysing and visualising qualitative data. Course content is spread over four modules and includes topics such as the following: setting up a project; organising data; preparing text and multimedia sources; managing a literature review; coding and analysing data; seeking patterns and identifying relationships; and presenting findings with visualisations. The course is entirely hands-on and uses sample data so that participants can practise using NVivo’s basic and advanced functionalities. No time is allocated to working on your own data in class; however, the post-class’ assignments focus on applying NVivo with your own data. Note that this course does not cover the foundations of qualitative analysis (for this kind of course, see Qualitative Data Analysis: Concepts and Procedures offered at the ECPR Summer School at the Central European University) or methods to analyse qualitative data in NVivo, such as thematic analysis, grounded theory, etc. (for this kind of course, see Advanced Qualitative Data Analysis offered at the ECPR Winter School in Bamberg).
Although no previous knowledge of NVivo is required, participants should have some familiarity with qualitative research.
7-8 September 2020 (14 hours over two days).
This course is offered at the Vrije Universiteit Brussel (Belgium) as part of the FLAMES Summer School 2020. This course will be taught entirely online.
Register in the FLAMES website.
See the FLAMES website.
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.