Helen Dixon’s SlideShare presentation on the topic. For a more general overview about using Nvivo in qualitative research, see Dr. This is useful for a variety of projects, such as oral history, in which researchers collect audio recordings, transcribe interviews, and organize the data chronologically or by association with some event, or in a more pedagogically-based analysis like my own. Whether that corpus be made up of individual written texts, audio files, or video files, Nvivo allows the researcher to input data about the contributing entities and code points of interest. Tools like Nvivo allow researchers to take a step back from the individual objects of analysis and see the broader connections across a corpus. In this tutorial, I hope to provide a better understanding about how to get started with this kind of qualitative analysis, which is integral to digital humanities research.
In its numerous iterations, Nvivo has been used in many projects for a variety of functions, including qualitative research, grounded theory-based research, and even literature reviews. Though there are many tools of various kinds out there to categorize, tag, code, and visualize data, I would like to share one in particular with you today: Nvivo 11.
This is where a qualitative analysis tool can help researchers uncover the deeper meanings, connections, and patterns present in their data. As much as we might try to force the full complexity of our datasets into finite rows of numbers, they simply won’t fit, and we must consider other options. Seeing the Forest Through the Trees: Using Nvivo to See the Bigger Picture in Your Data Through Qualitative AnalysisĪs a researcher in the humanities, I end up with lots of qualitative data.
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