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Visualization use in qualitative research reports: Evolving media types and competing epistemologies

arXiv cs.HCby Jayrylle R. Jaylo, Mia Chastain, Alli Nemec, Christina S. Ouch, Yared Asefa, Marcus Li, Andrew Ung, Caleb M. TrujilloMarch 31, 20261 min read0 views
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arXiv:2603.27849v1 Announce Type: new Abstract: Little is known about the representations used in qualitative research studies and why. A data-driven literature review was employed to explore the use of media in qualitative research reporting. A study by Verdinelli & Scagnoli (2013) was replicated and extended by conducting a content analysis of papers and figures published across three qualitative methods journals between 2020 and 2022. Figures were categorized by types (e.g., matrix-based, Venn diagrams, flowcharts) and documents were grouped by their epistemological stances (i.e., objectivist, subjectivist, or constructivist) before conducting a correspondence analysis and epistemic network analysis. Our findings suggest that (1) visual media have remained largely absent, (2) figure typ

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Abstract:Little is known about the representations used in qualitative research studies and why. A data-driven literature review was employed to explore the use of media in qualitative research reporting. A study by Verdinelli & Scagnoli (2013) was replicated and extended by conducting a content analysis of papers and figures published across three qualitative methods journals between 2020 and 2022. Figures were categorized by types (e.g., matrix-based, Venn diagrams, flowcharts) and documents were grouped by their epistemological stances (i.e., objectivist, subjectivist, or constructivist) before conducting a correspondence analysis and epistemic network analysis. Our findings suggest that (1) visual media have remained largely absent, (2) figure types have be come more diverse and (3) the use of figure types is likely independent of epistemological stance but provide opportunities for further exploration. These findings provide a foundation for impactful integration of data visualization tools to enhance communicati ve power of findings across disciplines.

Comments: 10 pages, 3 figures, ACM CHI '26 Conference Data Literacy Workshop, April 13-17, Barcelona, ES

Subjects:

Human-Computer Interaction (cs.HC)

Cite as: arXiv:2603.27849 [cs.HC]

(or arXiv:2603.27849v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2603.27849

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Caleb Trujillo [view email] [v1] Sun, 29 Mar 2026 20:09:11 UTC (638 KB)

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