Broadcast: Events

Introduction to NVivo

Monday 4 November 9:30 until 17:00
Speaker: Dr Patsy Clarke
Part of the series: Researcher Development Programme

Prerequisites: a basic understanding of the theory of qualitative data analysis.

NOTE: This is a two-part workshop and participants are expected to attend both sessions. The first and second sessions take place in the same location from 09.30-17.00 on 4 and 5 November.

This course is an introduction to using NVivo to assist you in analyzing qualitative data. On most qualitative research projects, one of the primary challenges is to make good use of the large volume of data that you can collect - for instance transcribed interviews, notes and journals from observations, institutional or personal documents, as well as social media data, surveys and literature. Computer assisted qualitative data analysis software packages such as NVivo have evolved to help to manage this data effectively.

Nvivo allows you to code your data extensively in layers and then to view the data by code, to easily search all the data using a variety of parameters and groupings, to directly attach notes to particular documents or segments of text, and to use hyperlinks between data, internal memos or outside documents. It has the facilities for allocating demographic variables and relationships to your data. It provides a space to record your conceptual thinking, and to use visual models to explore your themes and ideas. 

In these two sessions we will work directly in the programme to briefly introduce the use of NVivo. This will include:

  • Starting and storing a new project
  • Importing data and setting up new folders and documents
  • Coding techniques and structures
  • An introduction to the search facilities
  • Setting up Notes and Hyperlinks
  • Assigning Attributes 

We will also briefly discuss the advantages and disadvantages of using computer assisted qualitative data analysis software instead of more traditional methods of dealing with data.

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By: Adam Kreimeia
Last updated: Tuesday, 1 October 2019