NVivo 1 for Windows: Getting Started
This is the first workshop in a two-part series on NVivo. When undertaking qualitative research, it doesn’t take long for things to get messy. You can quickly find yourself buried under interview transcripts, photographs, videos, memos, web sites, articles and other texts. NVivo is a powerful data collection and analysis tool for the qualitative researcher. In this 90-minute workshop for beginners, we’ll look at strategies for getting your data into the system, setting up preferences for how you want to work, organizational principles, and other tips and tricks.
- Getting to know the NVivo workspace
- Exploring different types of data types/files that can be analyzed
- Basic coding of text-based files
- Using Queries to explore and code your data
- Recording comments and ideas
Prerequisites: Basic understanding of qualitative research methods is suggested, but not required. Watching this short tutorial on coding qualitative data before attending the workshop is recommended.
- This is the first workshop in a two-part series (NVivo 2 is the second).
- This workshop is for the *WINDOWS* version of NVivo. The Mac version differs significantly from the Windows; consequently, attending the Windows workshop if you will be using the Mac version is not recommended. We do not offer workshops on the Mac version due to having no Mac labs to do so. If you need one-on-one training for the Mac version of NVivo, please directly contact Mandy Swygart-Hobaugh, Ph.D.
- Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.
Want to get RDS@GSU Data Certified?
IMPORTANT: Effective Fall 2019 semester:
RDS workshops will no longer have registration but instead will be on a first-come-first-serve basis: The first 25 people to arrive *on time* will be able to attend the workshop.
Workshop instructors may choose to refuse admittance to those arriving more than 5 minutes late.
- Tuesday, September 17, 2019
- 10:30am - 12:30pm
- Classroom 2
- Downtown Campus Library