Introduction to NVivo
Key points
- This course teaches the basic and some of the advanced features of NVivo
- You will learn to set up an NVivo project, code and analyse data, and present qualitative findings using visualisations.
- The course can be taken on its own or in conjunction with the methodological seminars or courses in qualitative research designs.
Description
This course provides a comprehensive overview of using NVivo for qualitative data analysis. This is the course you need if you want to maximise the value of using NVivo by saving time, managing large amounts of data efficiently, seamlessly triangulating different data sources, improving the auditability of your research, and conducting analysis in a transparent and rigorous way. The course is structured around four modules that follow the logical sequence of the qualitative analysis process.
By the end of the course, participants will be able to:
- Organise a qualitative dataset in NVivo
- Manage a literature review and enhance its process with AI
- Autocode structured data and code data inductively
- Work with cases and variables for group comparison
- Seek patterns and identify relationships across the themes
- Present findings using evocative visualisations
- Export data and share projects.
The course is entirely hands-on and uses sample data to learn NVivo’s functionalities. Some time is also allocated to work on one’s own data. Note that this course does not teach the use of NVivo for specific qualitative research designs. For such content, see the courses Qualitative content analysis, Thematic analysis, Grounded theory and Cross-case analysis, or Overview of four designs.
Prerequisites
Although no previous knowledge of NVivo is required, participants should have some familiarity with qualitative research.
Schedule
Two days from 9:00 to 16:00.
Location
Online on Zoom or onsite. The course is capped at 20 participants.
Pedagogy
The course combines lectures, demos in NVivo and hands-on exercises with one’s data.
Cost
Fee depends on the number of participants and any prep work for a bespoke application to your research context. Email me for more information.
Combining courses
This course can be taken on its own or in conjunction with the methodological seminars in qualitative analysis or the courses in qualitative designs.
References
- Lumivero. NVivo 15 User Help for Windows and for Mac.
- Beekhuyzen, J., & Bazeley, P. (2024). Qualitative Data Analysis with NVivo (4th ed.). London: Sage.
Courses in qualitative research designs
This course was taught at
As a qualitative research consultant, I am on a mission to open the black box of qualitative analysis and challenge the prejudices surrounding subjectivity, bias, and anecdotalism of qualitative research. As you will learn if you work with me, qualitative analysis is systematic, transparent, and traceable, and can yield unique knowledge and insights that quantitative research can't. I train research teams and faculty staff, provide one-on-one coaching to researchers, and teach doctoral-level courses in method schools. I consult for humanitarian aid agencies worldwide in decolonising research and participatory methodologies.
