Introduction to NVivo (online)

ECPR Summer School 2020, Central European University, Hungary

Key points

  • This software course teaches the basic and advanced features of NVivo for qualitative analysis
  • This is a bring-your-laptop course requiring NVivo for Windows or Mac
  • This course can be taken on its own or as part of the ECPR training tracks.

Description
This short course is designed for participants who intend to use NVivo to manage, code, and analyse qualitative data and present qualitative findings in articles, reports or theses. 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, content analysis, grounded theory, etc. (for such course see Advanced Qualitative Data Analysis I teach at the ECPR Winter School).

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

Schedule
31 July-1 August 2020 (10.5 hours over two days)

Location
This course is hosted by the Central European University as part of the ECPR Summer School 2020. The course will be taught entirely online. 

Enrolment
Register in the ECPR website.

Fee
See the ECPR website.

Combining courses
This course can be taken as part of the ECPR training tracks. For further information, see the ECPR website.

References

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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