NVivo is a qualitative data analysis software designed to import, store, organize, and analyze unstructured or qualitative data such as interviews, open-ended survey responses, journal articles, images, audio, video, and social media and web content. Some mixed analyses are also supported.
NVivo allows you to code your data to identify themes; organize the people, places, and core metrics of your analysis as cases; and link cases to attribute values such as age and gender to compare different groups in your data. It also allows you to query and visualize your data with word frequency charts, word clouds, and comparison diagrams.
A range of software programs is available to Bucknell students, faculty, staff, and retirees. Depending on the license, some software may be available on a Bucknell owned computer, in a classroom or lab, virtually through a web or remote interface, and/or via download to a personally owned computer. Please see this L&IT Help Page for a list and more information.
For assistance and questions about the available software, please submit a Tech Ticket here.
Bucknell University Remote Labs (VMware Horizon) is a virtual computer lab that allows you to use software without installing it on your computer. You can connect to BU Remote Labs from your personally owned Linux, Mac, or Windows computer. Please see this L&IT Help Page for more information.
For assistance and questions about Bucknell Remote Labs, please submit a Tech Ticket here.
Qualitative Research Methods (Coursera)
The course provides an introduction to the basic ideas and procedures in qualitative research in social science, including data collection, description, analysis, and interpretation, as well as the iterative process in qualitative research. Quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods are also discussed.
Length: 8 weeks (self-paced).
NVivo 2018 Essential Training (LinkedIn Learning)
NVivo is the leading tool for qualitative research analysis, used for collecting, organizing, and analyzing non-numerical research data, such as images and text. The course starts with a review of key terminology and a tour of the NVivo interface. Learn how to create a new project and import documents such as Word and PDF files; how to code the data using nodes, the containers for NVivo data; how to create queries, word clouds, and charts; and how to export a summary of your coding structure to Word and Excel for sharing with others.
Length: 1 hour, 20 minutes. (Free access with Bucknell login.)