Data Scientists' Epistemic Thinking for Creating and Interpreting Visualizations

Autor/inn/en	Bolch, Charlotte; Crippen, Kent
Titel	Data Scientists' Epistemic Thinking for Creating and Interpreting Visualizations
Quelle	In: Statistics Education Research Journal, 21 (2022) 2, Artikel 11 (25 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1570-1824
Schlagwörter	Statistics Education; Visual Aids; Data Analysis; Delphi Technique; Epistemology; Thinking Skills; Data Interpretation; Specialists + Suchen Sie Ihr Suchwort? Anschauungsmaterial; Auswertung; Delphi-Methode; Erkenntnistheorie; Denkfähigkeit; Data evaluation; Datenauswertung
Abstract	The purpose of the study was to understand the experiences of data scientists regarding common skills and strategies of interpreting and creating data visualizations. In this Delphi study, the participants were researchers in Data Science using three rounds of surveys. Skills and strategies were identified after Delphi Panel 1 and then brought back to them in Delphi Panel 2 to rate the level of importance they attribute to those skills/strategies. Consensus was determined using a cutoff for the interquartile range for each skill/strategy, and overall group ratings were presented to researchers in Delphi Panel 3 for them to adjust their ratings if desired. This study provided empirical evidence of skills/strategies that data scientists engage in when interpreting and creating visualizations. (As Provided).
Anmerkungen	International Association for Statistical Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: https://iase-web.org/ojs/SERJ
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01