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NVivo Qualitative Data Analysis Software: Other Resources for
Qualitative Research

An introduction to NVivo qualitative textual & audiovisual analysis software.

Methodological Advice from GSU Professor Dr. Ralph LaRossa

The below publications by GSU Emeritus Professor of Sociology Dr. Ralph LaRossa outline a methodological framework for creating theoretically-rich qualitative analysis:

And this article describes the joint presentation Dr. LaRossa and Dr. Mandy Swygart-Hobaugh give annually on integrating methods into using NVivo:

Annual Presentation on the Logics and Logistics of Qualitative Research

Dr. LaRossa and Dr. Mandy Swygart-Hobaugh annually* present the following joint session:

The Logics and Logistics of Qualitative Research: A Framework for Exploring Concepts, Dimensions, and Relationships in Qualitative Data using NVivo Research Software

Dr. LaRossa discusses the steps involved in building theoretically-rich qualitative analyses (the logics) and Dr. Swygart-Hobaugh outlines the specific features of NVivo qualitative research software that complement and facilitate these analyses (the logistics).

*This presentation typically occurs in October -- so watch the workshops calendar for the next time.

Tutorial: Coding Qualitative Data Overview

Transcription of Audio to Text

Two speech bubbles with sound waves enclosed in arrow pointing to a text transcript

Does NVivo do Automatic Transcription?

NVivo does not do automatic transcription. Here are some tips, though, on your options:


Using NVivo:

You can also pay a person to do transcription -- find transcriber services in the Atlanta area.

Other CAQDAS options?

Below are some resources for exploring other Computer Assisted Qualitative Data Analysis Software (CAQDAS) options (e.g., Dedoose, ATLAS.ti, QDA Miner).

NOTE: As GSU does not have campus-wide licenses to these other softwares, there is no campus training/support for using them.

Qualtrics Survey Tool

Collect your own data using Qualtrics, a survey construction and data collection/evaluation tool that is available to the GSU community.

Resources for Qualitative Data & Research

Below are some resources for conducting text analysis and text mining, information about CAQDAS, creating metadata for qualitative data, finding existing qualitative data for original analyses, and more:

Frameworks for Coding (eBooks and Books @ GSU Library)

undefinedBelow are a handful of well-known books on coding practices to help you learn the analytical process of coding. REMEMBER: NVivo is just the *TOOL* for facilitating your analytical coding -- the real *ANALYSIS* comes from YOU and is informed by your research questions and your coding framework.

Using Adobe Acrobat Pro DC to Make PDFs Text Searchable

Converting Image-Scanned PDFs to OCR/Text Searchable PDFs

PDF with OCR label and arrow pointing to paper to represent OCR-ed textIf 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.

Accessing Adobe Acrobat Pro DC:
  • On campus: The Library's CURVE computers have Adobe Acrobat Pro DC
  • Off campus: GSU students, faculty, and staff can also download the Adobe Creative Cloud from the GSU Software Download page and then have Adobe Acrobat Pro DC at your disposal.

NOTE: Success in converting an image-scanned/non-OCR-ed PDF to OCR text depends on the quality of the original scan (e.g., if the background-to-text contrast is poor, it won't work).

Steps in process using Adobe Acrobat Pro DC:
  1. Open Adobe Acrobat Pro DC.
  2. Click Tools menu at top left.
  3. Click Scan & OCR 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.
Clip demonstrating above steps: