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dc.contributor.authorPandey, Saugaten_US
dc.contributor.authorOttley, Alvittaen_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2023-06-10T06:15:54Z
dc.date.available2023-06-10T06:15:54Z
dc.date.issued2023
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14809
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14809
dc.description.abstractThe visualization community regards visualization literacy as a necessary skill. Yet, despite the recent increase in research into visualization literacy by the education and visualization communities, we lack practical and time-effective instruments for the widespread measurements of people's comprehension and interpretation of visual designs. We present Mini-VLAT, a brief but practical visualization literacy test. The Mini-VLAT is a 12-item short form of the 53-item Visualization Literacy Assessment Test (VLAT). The Mini-VLAT is reliable (coefficient omega = 0.72) and strongly correlates with the VLAT. Five visualization experts validated the Mini-VLAT items, yielding an average content validity ratio (CVR) of 0.6. We further validate Mini-VLAT by demonstrating a strong positive correlation between study participants' Mini-VLAT scores and their aptitude for learning an unfamiliar visualization using a Parallel Coordinate Plot test. Overall, the Mini-VLAT items showed a similar pattern of validity and reliability as the 53-item VLAT. The results show that Mini-VLAT is a psychometrically sound and practical short measure of visualization literacy.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Human-centered computing -> Visualization tools, Empirical Study
dc.subjectHuman centered computing
dc.subjectVisualization tools
dc.subjectEmpirical Study
dc.titleMini-VLAT: A Short and Effective Measure of Visualization Literacyen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersAwards Session
dc.description.volume42
dc.description.number3
dc.identifier.doi10.1111/cgf.14809
dc.identifier.pages1-11
dc.identifier.pages11 pages


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  • 42-Issue 3
    EuroVis 2023 - Conference Proceedings

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