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Intermediate and Advanced Features of NVivo12

Dates: 12 to 13 November 2019 (Tuesday & Wednesday)
Venue: UCT Faculty of Health Sciences
Time: 09h00 to 16h00

Course fee is R 2 200 per person (refreshments provided)

Please note: This training course is for Windows-users only. Participants are required to work on their own personal laptops.

In this two-day short course you will learn the more advanced features of NVivo12. In particular, you will learn how to use the features of the programme that help you to analyse your data and visually represent your ideas.

These include: framework matrices, all forms of queries and visual representations such as maps and models. This is a hands-on course in which you are expected to work on your own NVivo projects, with your own data, on your own personal laptops during the session.

This course is intended for researchers (from all disciplines):

  • Who have already collected qualitative data, have created an NVivo project, and have done some coding.
  • Who have either taken an intro course to NVivo or have taught themselves how to do basic coding in NVivo

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

•               Supplementing data with meta-data and data from other applications, like email, Facebook, reference software and SPSS
•               Using queries, searches, matrices and diagrams to analyze data
•               Using visualization to explore data and data connections
•               Producing data for complementary analysis in other applications

View the full course programme 

A Certificate of Attendance will be issued to participants of the course.

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. Training in NVivo is not a substitute for qualitative research training.

For more information or to register email ce.administration@uct.ac.za. Registration closes Friday 25 October 2019.

Only participants registered for the course will be eligible to attend.

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