Classification Consistency and Accuracy for Complex Assessments under the Compound Multinomial Model

Autor/inn/en	Lee, Won-Chan; Brennan, Robert L.; Wan, Lei
Titel	Classification Consistency and Accuracy for Complex Assessments under the Compound Multinomial Model
Quelle	In: Applied Psychological Measurement, 33 (2009) 5, S.374-390 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608321759
Schlagwörter	Classification; Reliability; Test Items; Scoring; Bias; Computation; Measurement Techniques; Sampling + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Reliabilität; Test content; Testaufgabe; Bewertung; Messtechnik
Abstract	For a test that consists of dichotomously scored items, several approaches have been reported in the literature for estimating classification consistency and accuracy indices based on a single administration of a test. Classification consistency and accuracy have not been studied much, however, for "complex" assessments--for example, those that involve polytomously scored items or mixtures of different types of items. This article describes procedures for estimating various types of single-administration classification consistency and accuracy indices using the multinomial and compound multinomial models for individuals and groups who take a single administration of a complex assessment. An alternative procedure using the bootstrap is also proposed. These procedures are illustrated using real data sets obtained from tests consisting of both polytomous and dichotomous items. (Contains 1 figure, 3 tables and 4 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10