NVivo Qualitative Data Analysis Software: NVivo Help &
Workshops

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.
• The simplest way for team members to collaborate on a standalone project is to work with a single project file—however 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 should import team members' separate copied project files into the master project file—refer to bit.ly/29RKbXr for more information.
• Each team member should have their own user profiles in the project designated by consistent initials used at all times—refer to bit.ly/29XyrFY for more information.
• There are various ways to track team members’ work in NVivo—refer to bit.ly/29EumUW for more information.
• You can run Coding Comparison queries 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—refer to bit.ly/2a9nTQg for more information. 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.’

*Workshops for the NVivo 11 Pro 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.

• Friday, January 26, 2018, 1:00pm - 2:30pm, Classroom South 403 - REGISTER HERE
• Tuesday, February 27, 2018, 10:30am - 12:00pm, Classroom South 403 - REGISTER HERE
• Friday, March 30, 2018, 1:00pm - 2:30pm, Library North 1st floor Classroom 1 computer lab - REGISTER HERE

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

• Friday, February 2, 2018,1:00pm - 2:30pm, Classroom South 403 - REGISTER HERE
• Thursday, March 1, 2018, 10:30am - 12:00pm, Classroom South 403 - REGISTER HERE
• Friday, April 6, 2018, 1:00pm - 2:30pm, Library North 1st floor Classroom 1 computer lab - REGISTER HERE​

Functionality of 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 in functionality, and be sure to compare NVivo for Mac to NVivo Pro (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.

If a PDF is image-scanned/non-OCR-ed, you *may* be able to use Adobe Acrobat Pro DC to convert it to recognizable text and then be able to select and search the text.

The Library's CURVE computers have Adobe Acrobat Pro DC, and you can also get a free trial for Adobe Acrobat Pro DC here.

Steps in process using Adobe Acrobat Pro DC:

1. Open Adobe Acrobat Pro DC.
2. Click Tools menu at top left.
3. Click Enhance Scans icon.
4. Click Select a file, find file and click open, then click Start button.
5. File will open, then click the Recognize Text option in toolbar and click In This File.
6. Click Recognize Text button, and Converting scanned page to Searchable Image process should begin.
7. Once that process is completed, click the Recognize Text option in toolbar again and click Correct recognized text to find scan errors and correct them (by filling in correct text and then clicking Accept button).
8. Once you’ve completed the corrections process, click File > Save As and save the PDF as a new file that should be OCR-ed/text searchable.

This short screencast clip demonstrates the above steps (no sound).

Alternative OCR option: Use ABBYY FineReader Online (gives a 15-day free trial period)

NOTE: Success in converting to text depends on the quality of the original scan.