Key points

  • This software course teaches the basic and advanced features of NVivo for qualitative analysis
  • You will learn to set-up an NVivo project, code qualitative data, seek patterns and present qualitative findings
  • This course can be taken on its own or as part of the ECPR training tracks.

Description
This course is designed for researchers who plan 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 five sessions that follow the logical sequence of the process of qualitative data analysis. You will learn to create an NVivo project; import and organise data; manage your literature review; autocode structured data and code data inductively; work with cases and variables; seek patterns and discover relationships across themes, places and cases; present your findings using visualisations; and build a solid audit trail of your analysis process.The course is entirely hands-on and uses sample data to learn NVivo’s functions. Please note that this course does not teach how to analyse qualitative data in NVivo based on specific methods such as thematic analysis, content analysis, grounded theory, etc. (for such course see Advanced Qualitative 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
Daily live teaching on Zoom from 8:30-10:30 CEST from 24-28 July 2023 combined with prerecorded lectures.

Location
This course is taught 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.

Key readings

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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