Event box
Introduction to NVivo 12 (Mac Version) In-Person
Qualitative research involves working with qualitative data sources, such as interview transcripts, reports, photos, and diaries. NVivo is a data management and analysis tool that helps work with these types of materials. This 2.5-hr workshop will provide an introduction to using NVivo 12 for Mac.
Through a combination of lecture and hands-on activities, participants will be able to
• Understand how NVivo can be used in qualitative research
• Use NVivo to load information, code documents, make notes, use cases, conduct queries, and export information
• Know where to go for more help with NVivo
UofT Libraries provides a free 1-year license for NVivo 12. To obtain a license key, fill out our request form.
In-Person Location: Robarts Library, 5th Floor, Room 5-053 (directly across from the elevator). Map & Data Library Computer Lab [NOTE: This computer lab only has Windows Computers. For this workshop, you will need to bring in your own Mac laptop in order to participate in the activities. You will be sent setup instructions a few days before the workshop. Please check your junkmail folder if you don't see anything.]
Map & Data Library workshops are a welcoming and inclusive environment for learning. To learn more, check out our Code of Conduct.
Note: NVivo works differently on macs vs pcs. If you are running NVivo using Windows you should attend the Introduction to NVivo 12 (Windows Version) instead.
Photo modified from the original photo by AlteredSnaps
- Date:
- Thursday, March 9, 2023
- Time:
- 2:00pm - 4:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Map & Data Library
- Campus:
- St. George (Downtown) Campus
- Categories:
- Data & Statistics Digital Tools Programming & Software
Event Organizer
Kelly Schultz (she/her) is a Data Librarian at the Map & Data Library. She has a BASc (Computer Engineering) and a MI, both from UofT.
She supports Data Visualization; Qualitative Data Analysis; Data Cleaning; Text and Data Mining; Network Visualization and Analysis; Finding Data.