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Christian Bombara; Ran Duan – Journal of Visual Literacy, 2024
With the widespread use of visuals in the media and the rapid development of visual technologies, media consumers today increasingly face visual information and visual decision-making. Developing visual literacy is thus crucial to empower people to effectively navigate the visual world. This paper uses two studies to describe the development and…
Descriptors: Test Construction, Test Validity, Visual Literacy, Psychometrics
Monica Rogers – ProQuest LLC, 2022
Data visualization literacy can be defined as "the ability and skill to read and interpret visually represented data in and to extract information from data visualizations" (Lee, et al., 2017, p.552). Within the information science profession, data visualization literacy is an emerging and increasingly important competency within the…
Descriptors: Visual Aids, Information Literacy, Visual Literacy, Library Education
Duesbery, Luke; Braun-Monegan, Jenelle; Liu, Kimy; McCoy, Jan – Journal of Visual Literacy, 2017
The quality of a data display can have an impact on the interpretation of those data. A survey of the literature indicates that data displays can vary in quality of accuracy, clarity, and efficacy. In this study we develop and apply an evaluative rubric to graphs in a sample of six education journals: three research and three practitioner. Results…
Descriptors: Data, Graphic Arts, Visual Aids, Data Interpretation
Karazsia, Bryan T.; Wong, Kendal – Teaching of Psychology, 2016
Quantitative and statistical literacy are core domains in the undergraduate psychology curriculum. An important component of such literacy includes interpretation of visual aids, such as tables containing results from statistical analyses. This article presents results of a quasi-experimental study with longitudinal follow-up that tested the…
Descriptors: Quasiexperimental Design, Followup Studies, Undergraduate Students, Visual Aids
Braden, Roberts A., Ed.; And Others – 1990
These proceedings contain 37 papers from 51 authors noted for their expertise in the field of visual literacy. The collection is divided into three sections: (1) "Examining Visual Literacy" (including, in addition to a 7-year International Visual Literacy Association bibliography covering the period from 1983-1989, papers on the perception of…
Descriptors: Aesthetic Education, Creativity, Data Interpretation, Instructional Design
Branch, Robert C.; Bloom, Janet R. – 1995
This study explores the interpretation of two types of flow diagrams composed of different visual elements intended to communicate the same meaning. Using linear and cyclical diagrams, the study focused on whether, given a series of diagrams using linear elements and a series using cyclical elements, both types of visuals convey the same message…
Descriptors: Adjectives, College Students, Comparative Analysis, Data Interpretation
Griffin, Robert E.; And Others – 1995
The purpose of this study was to measure how well business and professional people from various cultures interpret symbols commonly used in international business presentations. Questionnaires contained 15 black and white symbols, selected from the clip art collection of Harvard Graphics business graphics software. Respondents from the United…
Descriptors: Business Communication, Cultural Influences, Cultural Literacy, Data Interpretation
Kovalik, Cindy L.; Lambdin, Kim – 1997
This paper presents findings from an historical investigation of visual literacy, a unique aspect being that the approach relied on the marriage of two disciplines--geography and history--which study change over time. Maps and their interpretation of data by cartographers tend to provide a foundational context that can illuminate past and present…
Descriptors: Archives, Comparative Analysis, Correlation, Critical Viewing

Dahmann, Donald C. – Journal of Geography, 1996
Reintroduces and updates the geographic profile as a visualization technique for representing and analyzing the structure of geographical information. A computer software-generated profile focuses on specific information (persons per square mile in selected cities) and represents that information spatially on a graph. (MJP)
Descriptors: Computer Uses in Education, Data Analysis, Data Collection, Data Interpretation