Despite the affinity between qualitative research and non-text visual information, the range and application of creative visualizations used to give depth and dimension to qualitative research reports is limited. Thoughtfully designed visualizations, including those which emphasize color, have myriad advantages, including the ability to compress information into an easily understood summary. The purpose of this paper is to describe a new method, developed by the first author, suitable for capturing temporal aspects of conversations and word volume for presentation in an engaging visual way. This method uses the widely available software program Microsoft Excel, in conjunction with R, an open source/open access software environment for statistical computing and graphics, to transform typed transcripts from individual interview research into a specific type of volume graph known as a stream graph. This “how to” paper describes the process and illustrates results from interview research with eight U.S. public school teachers conducted to discuss mental health resources for students. The stream graph approach provides qualitative researchers another tool for visualizing the rich contextual data collected during interviews.
qualitative research, data visualization, interview visualization, stream graph, interview research
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.
Recommended APA Citation
Nelson, E. S., & Chatfield, S. (2022). A Conversation in Time: A New Concept for Creating Stream Graphs for Qualitative Data Visualization. The Qualitative Report, 27(11), 2605-2622. https://doi.org/10.46743/2160-3715/2022.5713