Documentation:Research Commons/NVivo Support
|Welcome to the wiki for the Research Commons. This wiki is a space for research commons staff and graduate students to contribute resources.|
The Research Commons now offers NVivo Software Support.
NVivo is one of the leading computer-assisted qualitative data analysis software (CAQDAS) packages, and is now available for both PC and Mac operating systems.
The Research Commons can help grad students to get started successfully using NVivo in qualitative research, including:
- Installing the software
- Creating new projects
- Importing a variety of sources, including documents, PDFs, spreadsheets, audio and video files, and data from online sources
- Becoming familiar with the technical aspects of coding in NVivo
- Using NVivo's tools to explore and present relationships and trends in qualitative data
Support is available through both one-on-one consultations and workshops. To book a consultation appointment, please fill out out our Research Commons Consultation Request Form.
Please note: Our consultation services are intended for UBC graduate students. If you are a faculty or staff member looking for NVivo support, you may want to explore the support available from QSR International (the makers of NVivo), or you may want to join the UBC NVivo Listserv: e-mail NVIVO-UBCemail@example.com to be added to the list.
Did you have a one-on-one consultation with a member of our team? We'd love to get your feedback - just fill out our short Research Commons Student Feedback Form.
NVivo workshops are offered on a weekly basis throughout the Winter 2015 term. A full listing of NVivo workshop times and locations, as well as registration, is available through the Library Workshops and Events Calendar. (Search NVivo in the search box in the top left corner to see only NVivo events.)
Workshop 1: Getting Started with NVivo
- NVivo is computer-assisted qualitative data analysis software. In this introductory workshop, you'll learn about the benefits of working with NVivo, how to set it up, the types of sources you can use and how to import them into NVivo, and how to do queries, nodes, and coding. (Workshop dataset)
Workshop 2: Classifications and Datasets
- NVivo's classification capabilities will help you to add demographic data to your nodes and bibliographic data to your sources. Datasets allow you to import and work with tabular material from spreadsheets, database tables, surveys, and social media. If you're comfortable with the basics of NVivo - importing sources, creating nodes, and coding - and would like to explore new ways of working with qualitative data, this workshop is for you!
Workshop 3: Advanced NVivo
- You've coded your data in NVivo: now what? Learn more about using data visualizations to enhance your presentation of your results, cross-tabulating your data using matrix coding, and summarizing your data using framework matrices. This workshop is suitable for those who have taken both the Introduction to NVivo and the Classifications and Datasets workshops, or for those who have some experience working with NVivo.
Please note: Our workshops are intended for UBC graduate students. If you are a faculty or staff member looking for NVivo support, you may want to explore the support available from QSR International (the makers of NVivo), or you may want to join the UBC NVivo Listserv: e-mail NVIVO-UBCfirstname.lastname@example.org to be added to the list.
Did you attend one of our workshops? We'd love to get your feedback - just fill out our short Research Commons Student Feedback Form.
NVivo is one of the leading computer-assisted qualitative data analysis software (CAQDAS) packages. It is designed for qualitative researchers working with very rich text-based and/or multimedia information. The software is very powerful and allows the researcher not only to search and analyse large quantities of data, but also to discover and map new relationships as the data analysis unfolds. It’s used to analyse data from in-depth interviews, content analysis, ethnography and semiotics, etc., but can also analyse any types of unstructured data such as social media, audio recordings, web pages, and literature reviews.
A few points of note: