Description
COURSE OBJECTIVE:
This online course aims to help researchers build on their existing
knowledge of NVivo for qualitative data management & Analysis.
NVivo for home use can be accessed via the web-based portal
AppsAnywhere. Please see the following article:
https://it.leeds.ac.uk/it?id=kb_article&sysparm_article=KB0014827 for
how to download the software and https://it.leeds.ac.uk/it?
id=kb_article&sysparm_article=KB0014759 for FAQs. NVivo for windows can
also be accessed free via WVD and on University campus IT clusters.
COURSE FORMAT:
This 3 hr online course (2 x 1.5hr sessions)provides a comprehensive
overview of NVivo Visualisation tools.
PREREQUISITIES
It is essential that participants have attended NVivo Part 1 training.
It is also desirable if participants have some understanding of
qualitative data collection and analysis methodology since the training
does not cover research methodologies.
NVIVO FOR WINDOWS AND NVIVO FOR MAC
The training covers NVivo 14 for Windows only. It does not cover
NVivo for Mac. This course uses the Windows version of NVivo. You are
welcome to take part in the course whilst using a Mac but the steps and
commands may be slightly different. There will not be enough time in the
session for the tutor to cover both versions. Please visit the NVivo
website for more specific advice on the MacOS version.
OVERVIEW OF THE TRAINING
This 3-hour training, broken down into 1.5 hours provides a
comprehensive overview of NVivo Visualisation tools. To facilitate the
training, literature on Covid 19 will be used. Using such data,
participants will become familiar with visualisation tools including:
• Cluster Analysis, Mind Map, Concept Map
• Word Frequency & Text Search Query
• Matrix Coding & Crosstab Query
• Brief introduction to Framework Matrices
LEARNING OUTCOMES
• Use a Mind map to brainstorm your ideas using Covid 19 data
(articles).
• Use Cluster analysis diagrams to show a graphical representation of
files to make it easy to see similarities and differences between
articles.
• Use a Concept map to map out your ideas or to explore and present the
connections in your data. Use shapes and connectors to visualise the
evolution of ideas and theories.
• Use Word frequency query to list the most frequently occurring words
or concepts in the data.
• Use Text Search query to search for words or phrases in project items
then explore the use, context and meaning of words.
• Automatically code the words or phrases identified from the Text
Search Query.
• Create a Case Node from the articles. Creating a Case Node ensures
that you have a case for each participant (or file) and ensures that all
the content (data) that came from that participant is coded at the Case
Node.
• Create Matrix Coding Query & Crosstab Query to display how a set of
nodes relate to another node. For instance, use Matrix Coding & Crosstab
Query to explore how different articles relate to a theme node.
DURATION: 3 hrs (2 x 1.5hr online sessions). Participants must attend
both sessions to complete the course.
COST: Free of charge
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