Classification Consistency and Accuracy for Complex Assessments Using Item Response Theory

Autor/in	Lee, Won-Chan
Titel	Classification Consistency and Accuracy for Complex Assessments Using Item Response Theory
Quelle	In: Journal of Educational Measurement, 47 (2010) 1, S.1-17 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2009.00096.x
Schlagwörter	Classification; Item Response Theory; Comparative Analysis; Models; Reliability; Evaluation + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Item-Response-Theorie; Analogiemodell; Reliabilität; Evaluierung
Abstract	In this article, procedures are described for estimating single-administration classification consistency and accuracy indices for complex assessments using item response theory (IRT). This IRT approach was applied to real test data comprising dichotomous and polytomous items. Several different IRT model combinations were considered. Comparisons were also made between the IRT approach and two non-IRT approaches including the Livingston-Lewis and compound multinomial procedures. Results for various IRT model combinations were not substantially different. The estimated classification consistency and accuracy indices for the non-IRT procedures were almost always lower than those for the IRT procedures. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10