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:
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.
NVivo does not do automatic transcription. And everyone I've talked to has said that there is no decent transcription software out there for multi-voice transcription (if it's single voice, you might try Dragon software). Here are some tips, though, on your options:
You can also pay a person to do transcription -- find transcriber services in the Atlanta area.
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.
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:
Below are some resources for how to approach writing up your qualitative analysis findings -- see also these tips on finding research that has used NVivo for analysis to consult how they report their use of NVivo.
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.
NOTE: Success in converting an image-scanned/non-OCR-ed PDF to OCR text depends on the quality of the original scan.
Steps in process using Adobe Acrobat Pro DC:
Alternative OCR option: Use ABBYY FineReader Online (gives a 15-day free trial period)