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The Correlation between Users’ Cognitive Characteristics and Visualization Literacy
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Who proficts from visual aids: Overcoming challenges in people's understanding of risks
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Need for cognition and response mode in the active construction of an information domain
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Review of Graph Comprehension Research: Implications for Instruction
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Central and peripheral routes to persuasion: An individual difference perspective.
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Three Facets of Visual and Verbal Learners: Cognitive Ability, Cognitive Style, and Learning Preference.
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Evaluation of Static and Dynamic Visualization Training Approaches for Users with Different Spatial Abilities
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The Persuasive Power of Data Visualization
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A Principled Way of Assessing Visualization Literacy
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Learning Visualizations by Analogy: Promoting Visual Literacy through Visualization Morphing
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How do People Make Sense of Unfamiliar Visualizations?: A Grounded Model of Novice's Information Visualization Sensemaking
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VLAT: Development of a Visualization Literacy Assessment Test
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Understanding Visualization through Spatial Ability Differences
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Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making
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How Verbalizers and Visualizers Process the Newspaper Environment
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Numeracy and Decision Making
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Bar and Line Graph Comprehension: An Interaction of Top‐Down and Bottom‐Up Processes
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Crowdsourcing user studies with Mechanical Turk
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How Deceptive are Deceptive Visualizations?
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A Comparative Evaluation on Online Learning Approaches using Parallel Coordinate Visualization
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Cognitive Stages in Visual Data Exploration
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Visualization Literacy at Elementary School
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Choosing Specifiers: An Evaluation of the Basic Tasks Model of Graphical Perception
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General Performance on a Numeracy Scale among Highly Educated Samples
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Patients' and Physicians' Interpretations of Graphic Data Displays
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Additional file 1 of Strategies and difficulties during students’ construction of data visualizations
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