Thinking Critically about Data Displays

Autor/inn/en	Duesbery, Luke; Braun-Monegan, Jenelle; Liu, Kimy; McCoy, Jan
Titel	Thinking Critically about Data Displays
Quelle	In: Journal of Visual Literacy, 36 (2017) 1, S.41-54 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Braun-Monegan, Jenelle) ORCID (Liu, Kimy) ORCID (McCoy, Jan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1051-144X
DOI	10.1080/1051144X.2017.1331681
Schlagwörter	Data; Graphic Arts; Visual Aids; Data Interpretation; Visual Literacy; Scoring Rubrics; Periodicals; Educational Research; Theory Practice Relationship; Information Science; Accuracy + Suchen Sie Ihr Suchwort? Daten; Grafik; Grafisches Gestaltung; Anschauungsmaterial; Data evaluation; Datenauswertung; Literacy; Visualization; Visualisation; Schreib- und Lesekompetenz; Visualisierung; Scoring formulas; Auswertungsbogen; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Bildungsforschung; Pädagogische Forschung; Theorie-Praxis-Beziehung; Informationswissenschaft
Abstract	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 indicate that graph quality is typically high in educational journals, however, in practitioner oriented journals issues around graph clarity and efficacy should be addressed. Common error patterns are pinpointed, and four recommendations are made to authors and editors: focus on meaningful labels, increase amount of data displayed, portray multiple relationships, and elaborate with supporting text. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01