NVivo Qualitative Data Analysis Software: NVivo Help &
Workshops

Handouts that Mandy uses for her on-campus NVivo workshops:

NVivo 12 Plus for Windows Handouts

NVivo 11 Pro for Windows Handouts

Help Resources from QSR (company that makes NVivo):

Lynda.com NVivo Tutorial:

There are various strategies for tracking team members’ work in NVivo. More info: bit.ly/2uWnnQH

Some helpful tips for facilitating teamwork in NVivo:

• It is recommended that all team members use the same version of the software -- i.e., everyone should be using either the Windows version or the Mac version, not a mixture. More info: bit.ly/2uZFR2t
• The simplest way for team members to collaborate on a standalone project is to work with a single project file -- but only one user can open and work with the project at any point in time.
• If more than one user wants to work on a project at the same time, you can establish a 'master' project file, and then give a copy of the master project file to each team member. The team members work in the copied project files separately. Then, at regular intervals, the team leader imports the separate copied project files into the master project file. More info: bit.ly/2LhBVW6
  • IMPORTANT: If you are merging files, the data files in the separate project files must match *EXACTLY, character by character* to have them merge as the same item. In other words, if one team member makes even a typo correction in their copy and another team member has not made that correction, then in the merge process NVivo will think the data files are two separate files.
• Each team member should have their own user profiles in the project designated by consistent initials used at all times. More info: bit.ly/2Ocovbr  and bit.ly/2JOGph8
• NVivo provides a number of ways to check consistency or coder reliability:
  • Run a Coding Comparison query to compare coding done by two users (or two user groups) to measure the 'inter-rater reliability' or degree of agreement for coding between the users. More info: bit.ly/2mAKJaK
  • IMPORTANT: ​NVivo uses a character-by-character method of calculating inter-rater reliability and percent agreement/disagreement. Because of this, your team should determine a convention for coding upfront to account for this. For example, you might say ‘we will all code at the full sentence level, even if only part of the sentence applies to our coding theme.’
• Use the Coding Stripes to see coding done by specific researchers tagged with individual user profile initials.
• Filter the content of a Node to see only the references coded by selected researchers.

*Workshops for the NVivo 12 Plus for Windows version only*

NVivo 1 for Windows: Getting Started -- Basics of importing and coding different types of data sources. PREREQUISITE: Basic understanding of qualitative research methods is suggested, but not required. Watching this short tutorial on coding qualitative data before the workshop is recommended.

NVivo 2 for Windows: Exploring your Data -- Classifications, queries, visualizations, and reports to explore/analyze coded data sources. PREREQUISITE: NVivo 1 or equivalent experience (e.g., completing this Lynda.com tutorial).

UPCOMING WORKSHOPS & DROP-IN HELP HOURS

Functionality of NVivo in Windows vs. Mac:

The Mac version of NVivo does not have the full functionality that the Windows Pro version has -- see this comparison chart to explore the differences, and be sure to compare NVivo for Mac to NVivo Plus (the Windows version at GSU).

Options for running NVivo for Windows on a Mac computer:

The company that produces NVivo, QSR International, recommends specific Windows parallels/virtual desktops to install on Macs to then run NVivo Pro for Windows -- see this site for those resources.

Read others' work who used NVivo for data analysis -- see how they used it, what types of data they analyzed with it, how they wrote up their analysis, etc.

• Google Scholar Search for NVivo -- limited to year 2015 forward
• Library's Discover Search for NVivo -- limited to year 2015 forward

Or search for NVivo-based articles specific to your discipline: go to our A-Z Databases list and use the All Subjects dropdown menu to go to specific databases by subject.