Approaches to Data Analysis of Multiple-Choice Questions

Autor/inn/en	Ding, Lin; Beichner, Robert
Titel	Approaches to Data Analysis of Multiple-Choice Questions
Quelle	In: Physical Review Special Topics - Physics Education Research, 5 (2009) 2, S.020103-1 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1554-9178
DOI	10.1103/PhysRevSTPER.5.020103
Schlagwörter	Multiple Choice Tests; Factor Analysis; Data Interpretation; Item Response Theory; Educational Research; Multivariate Analysis; Test Theory; Models; Evaluation Methods; Profiles; Illustrations; Evaluation Research; Student Evaluation; Physics + Suchen Sie Ihr Suchwort? Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren; Faktorenanalyse; Data evaluation; Datenauswertung; Item-Response-Theorie; Bildungsforschung; Pädagogische Forschung; Multivariate Analyse; Testtheorie; Analogiemodell; Charakterisierung; Profilanalyse; Bildliche Darstellung; Evaluationsforschung; Schulnote; Studentische Bewertung; Physik
Abstract	This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics education research. We minimize mathematics, instead placing emphasis on data interpretation using these approaches. (Contains 7 tables and 22 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10