ArticleCBE life sciences education2019
"Seeing" Data Like an Expert: An Eye-Tracking Study Using Graphical Data Representations.
Article in CBE life sciences education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- The Pictorial-Semantic-Task Framework for Understanding Graph Comprehension.Journal of Intelligence · 2026Review
- Student perceptions of supports and barriers for transferring quantitative reasoning in introductory biology lab courses.Journal of microbiology & biology education · 2025Article
- Evaluating convergence between two data visualization literacy assessments.Cognitive research: principles and implications · 2025Article
- Investigating Student Noticing of Quantitative Reasoning in Introductory Biology Labs.CBE life sciences education · 2025Article
- How do students reason about statistical sampling with computer simulations? An integrative review from a grounded cognition perspective.Cognitive research: principles and implications · 2024Review
- Supporting Student Competencies in Graph Reading, Interpretation, Construction, and Evaluation.CBE life sciences education · 2024Article
- Characteristics of gaze tracking during movement analysis by therapists.Journal of physical therapy science · 2022Article
- Data-rich textbook figures promote core competencies: Comparison of two textbooks.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the centrality of data visualizations in communicating scientific information, increased emphasis has been placed on the development of students' graph literacy-the ability to generate and interpret data representations-to foster understanding of domain-specific knowledge and the successful navigation of everyday life. Despite prior literature that identifies student difficulties and methods to improve graphing competencies, there is little understanding as to how learners develop these skills. To gain a better resolution of the cognitive basis by which individuals "see" graphs, this study uses eye tracking (ET) to compare the strategies of non-science undergraduates (
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.