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Qualitative data analysis using NVivo: An intermediate workshop


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

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Qualitative data analysis using NVivo: An intermediate workshop

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