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Home > Short Courses > Public Health & Family Medicine > Introduction to NVivo11 (Full day)

Introduction to NVivo11 (Full day)

Date: Wednesday 22 November 2017
Venue: UCT Faculty of Health Sciences
​Time:  09h00 to 16h00

Please note: You are required to use your own laptop for this course. The course is aimed at Windows-users only.

Course fee is R 1 000 per person (includes refreshments)

In this short course, you will be introduced to the NVivo11 software. This is a hands-on course in which you are expected to work on your own personal laptops during the session.

This course is intended for researchers:

Working with: Qualitative data (interviews, focus groups, field notes, documents, visual and audio data),

Who: Preferably have a background in or experience in qualitative research methodology (the course is not a substitute for qualitative research training)

Who want to: use NVivo for managing and coding their data  (following general principles of content, thematic, or narrative analysis, or other similar approaches)

Who: have no or little experience with NVivo, but who are interested in using it for research they are currently conducting.

At the end of the course participants will have learned and practised:

  • Setting-up an NVivo project: importing data, creating folders, using case nodes, making a case classification, formatting documents for auto coding, applying ‘see also links’
  • Using basic analysis features of NVivo: creating parent and child nodes, coding to nodes, audio-coding, reviewing and changing coding, annotations, memoing, and performing a basic text query

View the full course programme

The course will be interactive and intends not only to teach the how-to aspects of the software, but the underpinning logic, the practical considerations, and the importance of reflexivity and critical-thinking in approaching computer-assisted analysis.

NVivo does not analyze qualitative data for the researcher but rather can enhance the researcher’s analytical capacity by providing the means to efficiently store, sort and look for patterns in diverse forms of data.

Email ce.administration@uct.ac.za for more information or to register.

Continue to Intermediate and Advanced Features of NVivo11