Introduction to NVivo
ECPR Summer School 2018, Central European University, Hungary
- This software course teaches the basic and advanced features of NVivo for qualitative analysis
- This is a bring-your-laptop course requiring NVivo 12 for Windows or Mac
- This course can be taken on its own or as part of the ECPR training tracks.
This short course is designed for participants who intend to use NVivo 11 Pro for Windows to manage, code, analyse and report qualitative data. This is the course you need if you are looking for training in using a qualitative software that supports the research process from beginning to end. The course is structured around four modules that address the following topics: importing, organising and classifying data; managing a literature review; autocoding and inductively coding text, multimedia and social media data; mapping the coding process; seeking patterns and identifying relationships; presenting findings using visualisations; exporting data; and sharing projects. The course is entirely hands-on and uses sample data to practise using NVivo’s functionalities. Note that this course does not teach qualitative data analysis in NVivo based on specific methods such as thematic analysis, grounded theory, etc. (see Advanced Qualitative Data Analysis, to be taught at an upcoming ECPR Winter School in Bamberg, Germany, in February 2018).
Although no previous knowledge of NVivo is required, participants should have some familiarity with qualitative research.
26-27-28 July 2018 (15 hours over three days).
This course is offered at the Central European University (Budapest, Hungary) as part of the ECPR Summer School 2018.
Register in the ECPR website.
See the ECPR website.
This course can be taken as part of the ECPR training tracks. For further information, see the ECPR website.
In Bazeley, P. and Jackson, K. (2013). Qualitative Data Analysis with NVivo (2nd ed.). London: 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 and I consult for humanitarian aid agencies worldwide.