Clustered Iconography: A Resurrected Method for Representing Multidimensional Data

Autor/inn/en	Muurlink, Olav; Gould, Anthony M.; Joullié, Jean-Etienne
Titel	Clustered Iconography: A Resurrected Method for Representing Multidimensional Data
Quelle	In: Sociological Methods & Research, 52 (2023) 2, S.956-992 (37 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Joullié, Jean-Etienne)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124120914943
Schlagwörter	Visual Aids; Visualization; Data Analysis; Research Methodology; Open Source Technology; Multivariate Analysis; Statistical Distributions; Design + Suchen Sie Ihr Suchwort? Anschauungsmaterial; Visualisation; Visualisierung; Auswertung; Research method; Forschungsmethode; Multivariate Analyse; Wahrscheinlichkeitsverteilung
Abstract	Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and improves a procedure, clustered iconography, which enables the presentation of multidimensional data through which readers engage more effectively with the presentation's central message by way of an easier understanding of relationships between variables. The proposed technique is especially well adapted to the needs and protocols of open-source research. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01