Applying Clustering to Statistical Analysis of Student Reasoning about Two-Dimensional Kinematics

Autor/inn/en	Springuel, R. Padraic; Wittman, Michael C.; Thompson, John R.
Titel	Applying Clustering to Statistical Analysis of Student Reasoning about Two-Dimensional Kinematics
Quelle	In: Physical Review Special Topics - Physics Education Research, 3 (2007) 2, S.020107-01 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1554-9178
DOI	10.1103/PhysRevSTPER.3.020107
Schlagwörter	Physics; Statistical Analysis; Multivariate Analysis; College Students; Student Reaction; Test Items; College Science; Arizona; Maine + Suchen Sie Ihr Suchwort? Physik; Statistische Analyse; Multivariate Analyse; Collegestudent; Schülerkritik; Test content; Testaufgabe
Abstract	We use clustering, an analysis method not presently common to the physics education research community, to group and characterize student responses to written questions about two-dimensional kinematics. Previously, clustering has been used to analyze multiple-choice data; we analyze free-response data that includes both sketches of vectors and written elements. The primary goal of this paper is to describe the methodology itself; we include a brief overview of relevant results. (Contains 4 figures, 2 tables, and 20 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10