Organizing and Analyzing Qualitative Data with NVivo 9
Event Date(s): June 13-14, 2012
Time: 9:00 am-4:00 pm
Location: W13 Machmer Hall, University of Massachusetts, Amherst
Description: For researchers working with qualitative data of all kinds—from interview recordings and field notes to video and images—NVivo offers a platform to organize, analyze and parse through large amounts of information. NVivo has a flexible coding structure that allows you to make up new themes as you code. You can track your ideas using memos and annotations, and you can link similarly themed items together. NVivo’s powerful query engine allows you to easily look for patterns in your data – pulling out various slices and seeing how they are related. You can present these results visually (e.g., in a tag cloud or word tree) or in a tabular format that is exportable into spreadsheet or statistical software.
This two-day workshop will get you started using NVivo. The first day will focus on importing, organizing, and classifying your data. This session is targeted at researchers who have never used NVivo 9 and want to learn the basics of how to begin to code their data. The second day we’ll move to analysis, using queries and visualizations. This session is appropriate for researchers who have used and maybe even coded some of their data in NVivo 9 and are now looking for analysis tools and techniques.
June 13, Day One: NVivo Basics—Starting to Work with Your Material
This hands-on workshop is a basic introduction to NVivo 9. It will provide you with the information and practice you need to get started with your own project. Using sample data, you’ll create a project in NVivo and work with a range of material like documents, audio, video, pictures, spreadsheets, and database tables.
Introducing NVivo and setting up a project
- Introducing NVivo’s workspace
- Creating and navigating around a project
Working with your information
- Importing documents, videos, audio files, images, datasets, and external data
- Classifying material
- Creating memos and annotations
Sorting, organizing, and analyzing your information
- Introducing “nodes”
- Organizing node folders and creating nodes
Working with your themes and ideas and shaping your findings
- Viewing your emerging themes, topics, or ideas and their content
- Understanding how and where content is being assigned and fine-tuning it
- Classifying, moving, merging, and aggregating your themes, topics, or ideas
June 14, Day Two: NVivo Intermediate/Advanced—Further Analysis in NVivo 9
This hands-on workshop takes you beyond the basics to asking questions of your data and your analysis, using grouping tools, text analysis, queries, and visualizations. You will also get a chance to practice what you’ve learned with your own data.
Models and relationships
- Building and working with models as a way to display ideas
- Creating and showing relationships in your data
Grouping your data: Collections and links
- Organizing your data into “sets”
- Finding items in your project quickly and easily
- Creating links in your data
Exploring your data
- Using text analysis tools, including word frequency and text search queries
- Running coding-based queries, including coding, matrix coding, and grouped queries
- Saving queries and storing your results
Visualizing your data
- Creating two- and three-dimensional charts to illustrate findings
- Presenting query results as “tree maps” and “word trees” to show patterns in your data
Reporting and presenting your findings
- Creating standard and customizable reports and extracts
Jackie Stein is currently a doctoral student in the Sociology Department at UMass-Amherst. She used NVivo 9 to organize, code, and analyze hundreds of pages of union contracts for an NSF-funded research project, “Contesting Time: Negotiations about Work Hours by Gender and Class” (PIs: Dan Clawson and Naomi Gerstel). She has intensive experience with NVivo, which includes conducting a training session for the project’s PIs.
Heather Cassidy is Data Manager for SADRI. She has seven years experience as a certified tutor through the National Tutoring Association and has also served as a teaching assistant. She graduated from the University of Massachusetts with a B.A. in Computational Mathematics.
Fees: Faculty: $150/Graduate Students: $75 (Lunch will be provided both days.)