External Representations for Data Distributions: In Search of Cognitive Fit

Autor/inn/en	Lem, Stephanie; Onghana, Patrick; Verschaffel, Lieven; Van Dooren, Wim
Titel	External Representations for Data Distributions: In Search of Cognitive Fit
Quelle	In: Statistics Education Research Journal, 12 (2013) 1, S.4-19 (16 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1570-1824
Schlagwörter	Foreign Countries; Graphs; Statistical Distributions; College Freshmen; Mathematics Instruction; College Mathematics; Comparative Analysis; Accuracy; Problem Solving; Achievement; Epistemology; Regression (Statistics); Belgium + Suchen Sie Ihr Suchwort? Ausland; Grafische Darstellung; Wahrscheinlichkeitsverteilung; Studienanfänger; Mathematics lessons; Mathematikunterricht; Problemlösen; Performance; Leistung; Erkenntnistheorie; Regression; Regressionsanalyse; Belgien
Abstract	Data distributions can be represented using different external representations, such as histograms and boxplots. Although the role of external representations has been extensively studied in mathematics, this is less the case in statistics. This study helps to fill this gap by systematically varying the representation that accompanies a task between participants, and assessing how university students use such representations in comparing aspects of data distributions. Following a cognitive fit approach, we searched for matches between items and representations. Depending on the item, some representations led to better achievement than other representations. However, due to the low overall accuracy rates and various difficulties that students displayed in interpreting these representations, we cannot make strong claims regarding matches between items and representations. (Contains 4 figures and 2 tables.) (As Provided).
Anmerkungen	International Association for Statistics 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: http://www.stat.auckland.ac.nz/~iase/serj
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10