These are the slides of a NVivo workshop delivered by Brenda Padilla at the University of Northampton.

1. Qualitative Data Analysis
Using NVivo
An Intermediate Workshop
Facilitator: Brenda Cecilia Padilla Rodriguez May 21, 2014

2. Aims of this workshop
Explore the classification functions of NVivo.
Visualise data in different ways.
Run data queries.
2

3. Topics NOT covered
Defining key terms in qualitative data analysis
Adding data sources
Creating node trees
Coding
3

4. Let’s start!
Research questions
What are participants’ online course expectations before delivery?
What are the differences (if any) between managers’ and students’
pre-course expectations?
Open NVivo project.
4

5. Ways of classifying data
Source names
Source classifications
Sets
Search folders
5

6. Data classification
Classify the data sources: interviews and skype interviews.
Create > Source classification
Create a set of sources to check.
Right click - Create as > Create as set
Create search folders for people with different levels of
previous experience with online learning.
Look for > Advanced find > Add to project as search folder
Search criteria > Coded at > Selected items (experience)
6
DONE?
Think about other uses you can give to source classifications, sets
and search folders. Create your own!

7. Data visualisation
Create a chart using your source classification.
Explore > Chart > Sources > Sources by attribute value > interviewer
Who has conducted the most interviews?
Create a tree map of the nodes.
Explore > Tree map > Nodes
What are the main pre-course expectations?
Create a graph for a data source.
Explore > Graph
What are the main pre-course expectations?
7
DONE?
Paste your visualisations in your Journal (Sources > Memos).

8. Queries
Run a text search query (Query > Text search).
How many people talk about their team?
Run a word frequency query (Query > Word frequency).
What are the key words in participants’ interviews?
Check out the word cloud (at the right).
8
DONE?
Help your neighbour!

9. Queries
Explore the relationship between online learning experience
and pre-course expectations.
Query > Matrix coding
Define rows (pre-course expectation nodes) & add to list
Define columns (search folders) & add to list
Node matrix: Search for content of rows AND of columns
Make sure you are checking what you want to check.
View > Node matrix > Sources coded > All classifications
9
DONE?
Change the colors: View > Node matrix > Cell shading
Export the data as a spreadsheet: Right click - Export node matrix

10. Extra!
Compare pre-course expectations of participants
from the South and from the North.
How can you do that?
10