Introduction to NVivo for Qualitative Data Analysis

Description

NVivo is computer-assisted qualitative data analysis software. This workshop introduces NVivo and provides an overview of features for importing files, annotating, coding, and running queries. Following the 90-minute workshop there will be an optional 30-minute period for questions, review and self-directed exploration with support from the instructors.

Workshop registration is limited to students, faculty, and staff currently affiliated with UBC, but many of the resources on this site are open to all.

Workshop requirements

• Install NVivo. Participants are expected to bring their own laptops with NVivo already installed (version 14 or 15 recommended)NVivo is available at no cost to all UBC students, faculty and staff: Download NVivo here

• Download sample transcript. This interview transcript is part of an NVivo sample project about community perceptions of development and land-use change on coastal communities in North Carolina, USA. We will demonstrate NVivo features using this transcript, but you are welcome to use your own Word documents, text files, or PDFs during the workshop.

An NVivo account is not required to use the UBC licensed version. If you are prompted to login when you open NVivo for the first time, choose the option to provide enterprise key to activate, then enter the key provided during the software download process.

If you have any questions, concerns, or accessibility needs, please email research.commons@ubc.ca.

Previous workshop recording

A recording of the online session delivered June 12, 2025 is available for review (85 minutes):

• Link to recording
• Passcode: hnfy6.^5>

Other resources on this site

• Qualitative coding. Three videos created by the UBC Library Research Commons that introduce coding theory and concepts.
• Video resources. Links to selected training videos about Computer-Assisted Qualitative Data Analysis Software (CAQDAS) and NVivo.
• Methodology resources. Resources about Qualitative Data Analysis methods (websites, lectures, podcasts, videos, etc.).
• Recommended readings
• Mixed methods workshop. Slides from a UBC Library Research Commons workshop called Introduction to Mixed Methods Analysis (not currently offered)