Advanced Qualitative Data Analysis using NVivo (2 days)

The masterclass is an advanced course in qualitative data analysis for existing NVivo users who are currently working on a research project.

Master Class - runs over 2 days

Associate Professor Linda Sweet is academic nurse and midwife. She has 20 years of qualitative research experience and has been providing training and consultation in the use of QSR software including NVivo for over 16 years. Her research interests include midwifery practice and health professions education, and supervisors numerous research higher degree students. Linda is also deputy editor of the international journal Women and Birth.

Course dates: Thursday 15 November 2018 - Friday 16 November 2018
Course status: Course completed (no new applicants)
Week 1
About this course: 

Those choosing to enrol in this course will be working on a research project of their own, and will be required to bring their work in progress to the workshop. They will be seeking to advance their knowledge and skills in higher-level data analysis, theory building, validating findings, and producing reports and accounts.


The course assumes basic mastery of skills in using NVivo for data management and analysis, including coding. It builds on these skills to equip users to undertake advanced data analysis, and to produce effective accounts of their research. The focus is on applying advanced tools from the NVivo tool kit to research in progress through hands-on experience.


When enrolling, participants will be asked to provide information about their current project, including an indication of aspects of NVivo they wish to learn more about. The final content of the Master-class will be developed in response to participants' needs and interests and will include opportunities for discussion and consulting about individual projects.


Note: This course will be conducted in NVivo for Windows.



Course syllabus: 

Potential content may include:


Part I: Advanced data analysis.

  • Critiquing coding structures.
  • Moving from descriptive coding to categorical, thematic, conceptual or theoretical coding.
  • Exploring themes and patterns using advanced Queries, Similarity Diagrams, Tree Maps, Cluster Analysis and other exploration tools.


Part II: Testing hypotheses and establishing credibility. 

  • Posing questions to test the strength of emerging propositions and/or conclusions drawn from data analysis.
  • Identifying ways of answering these questions using Queries and other exploration and visualisation tools in NVivo.


Part III: Building an account and writing your findings.

  • Establishing criteria for good reporting by critiquing reports of current research that have used NVivo.
  • Using NVivo’s tools for representing and reporting findings: mapping concepts, visualising and charting findings, generating reports, exporting material, and interfacing with other software including Microsoft Word, PowerPoint and Excel.


Course format: 

Participants should bring their own data or project to work with during the course.


This hands-on training will be conducted using a Windows platform. NVivo for Mac users will be accommodated, but the demonstrations will be given in Windows.


Participants will be expected to have the latest version of NVivo installed on their own device. A 14 day free trial is available through QSR International if you don't have a copy. Please don't open the trial version until just before the start of the course. Once (or if) you have NVivo installed, please check for the latest updates within the program.


If you are using a laptop belonging to your workplace, it will be essential that you install all your updates before attending the course, as you may not have the authorisation to install software outside of your work environment.


Please have Endnote installed on your pc, as using NVivo with Endnote will be demonstrated.

You will also need a copy of Micosoft Office.

Recommended Background: 

Completion of Applied Computer-assisted Qualitative Data Analysis using NVivo or equivalent tertiary course and experience with NVivo. 

Recommended Texts: 

Bazeley, P. & K. Jackson. (2013). Qualitative Data Analysis with NVivo (Second Edition). London: Sage.


Miles, M. B., A. M. Huberman & J. Saldana. (2013) Qualitative Data Analysis: A Methods Sourcebook (Third Edition). Thousand Oaks: Sage.


Richards, L. (2014). Handling Qualitative Data: A Practical Guide (Third Edition). London: Sage.


Saldana, J. (2016) The Coding Manual for Qualitative Researchers (Third Edition). London: Sage.



Participant feedback: 

I have learned many functionalities of NVIVO that I can apply to my own research (Aug 2017)


Good to have time to work on own data, get one - on - one with presenter (Aug 2017)


Very timely - exactly what I needed know before starting to think and perform data analysis (Aug 2017)


It covered and demonstrated the range of things I was interested in knowing to apply to my practice (Aug 2017)