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Qualitative Data Analysis
Using NVivo
An Intermediate Workshop
Facilitator: Brenda Cecilia Padilla Rodriguez May 21, 2014
Aims of this workshop
Explore the classification functions of NVivo.
Visualise data in different ways.
Run data queries.
2
Topics NOT covered
Defining key terms in qualitative data analysis
Adding data sources
Creating node trees
Coding
3
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
Ways of classifying data
Source names
Source classifications
Sets
Search folders
5
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!
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).
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!
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
Extra!
Compare pre-course expectations of participants
from the South and from the North.
How can you do that?
10

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Qualitative data analysis using NVivo: An intermediate workshop

  • 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

Editor's Notes

  1. Comfort breaks every hour
  2. Basic NVivo knowledge (adding data sources, creating node trees and coding).
  3. Search folders Classification sets Data visualization Queries