This course is a two day course separated by at least two weeks.

Day 1 - Introduction to NVivo

Prerequisites:

  • Conducting Research or Analysing Qualitative Data.
  • Have NVivo installed on PC/Laptop

Overview: The objective of the course is to equip the group with enough knowledge to enable people to begin their project using a computer-aided methodology. However, they will not possess the requisite skills to carry out more advanced tasks. An intermediate level training day (Day 2 would achieve that end.

Target Group: Any member of staff involved in Research and data Analysis

Trainer: Ben Meehan, QDATRAINING Ltd, Consultant/Trainer for Computer-Aided Qualitative Data Analysis  Projects

Main Topics:

Morning:

  • Introduction – why use a computer for qualitative analysis? The pros and Cons
  • The theoretical project – a conceptual overview of four key decisions to be made concerning research design as you approach your project
  • A tour of NVivo (theory applied)

Afternoon:

  • Building your database and coding your data
  • Setting up and backing up your project
  • Importing your data
  • Setting up and linking your demographic/profiling information
  • Creating a coding structure and coding to it

Scope:

The balance of day 1 (building your database) is conceptual and covers many planning decisions associated with gathering, importing and coding your qualitative data in a database environment. There is a practical element to the day. By the end of the workshop participants will understand the advantages and limitations of using a computer for qualitative data analyses and will know how to set-up a database, how to import data and how to code data. They will also understand the potential of NVivo as a tool for organising, questioning and reporting on their data so that they can truly support and defend their findings.

 

Day 2 - NVivo underway – Analysing your data

Overview: The objective is to equip participants with the requisite skills to carry out more advanced tasks.

Target Group: Any member of staff involved in Research and data Analysis

Prerequisites:

  • Have attended Day 1 Introduction
  • Conducting Research or Analysing Qualitative Data.
  • Have NVivo installed on PC/Laptop

Trainer: Ben Meehan, QDATRAINING Ltd, Consultant/Trainer for Computer-Aided Qualitative Data Analysis Projects

Main Topics:

The objective of this workshop is to conduct a piece of analysis using raw data and a research question. By the end of the session, the participants will have:

Set up a database with a robust architecture

Analysed the data using queries and manual analysis where appropriate

Reported on the findings

Data collection:

Mixed method questionnaire collecting demographics along with quantitative and qualitative questions

Analysis:

  1. Import Questionnaires
  2. Import Quantitative data and match cases
  3. Use coding query (simple) to address part 1 of the research question (creating groups)
  4. Target a participant set and use coding query (advanced) to group them
  5. Auto-code their qualitative responses to a single node
  6. Code on their responses to identify reasons for change
  7. Export results and report graphically on weighting of themes
  8. Share information using “Annotations”
  9. Link to the literature using “See Also Links”
  10. Generate preliminary findings using “Memos” (proposition/summary statements) Test preliminary findings against demographics to further explore/analyse results using “Visualisations”
  11. Further interrogate data by automated coding by demographic value (gender) using an advanced coding query
  12. Use text search to augment manual coding and integrate results
  13. Use a compound query to refine searches
  14. Use matrix for deeper integration/exploration of relationships within the data
  15. Share/report data with non NVivo users using HTML Word and Excel export options
  16. Demonstrate “Word Frequency Searches”, “Coding Comparisons Query” and working with PDFs

Open Session:

Finally, there will be an open session at the end of the workshop to facilitate people who wish to work with their own data which will also provide the opportunity for a question and answer dialogue where all parties to the workshop can learn from each other

Coming soon...