An Empirical Investigation of Methods for Assessing Item Fit for Mixed Format Tests

Autor/inn/en	Chon, Kyong Hee; Lee, Won-Chan; Ansley, Timothy N.
Titel	An Empirical Investigation of Methods for Assessing Item Fit for Mixed Format Tests
Quelle	In: Applied Measurement in Education, 26 (2013) 1, S.1-15 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1080/08957347.2013.739419
Schlagwörter	Test Format; Test Items; Item Analysis; Goodness of Fit; Statistics; Item Response Theory; Sample Size; Test Length; Iowa Tests of Basic Skills + Suchen Sie Ihr Suchwort? Testentwicklung; Test content; Testaufgabe; Itemanalyse; Statistik; Item-Response-Theorie
Abstract	Empirical information regarding performance of model-fit procedures has been a persistent need in measurement practice. Statistical procedures for evaluating item fit were applied to real test examples that consist of both dichotomously and polytomously scored items. The item fit statistics used in this study included the PARSCALE's G[squared], Orlando and Thissen's (2000) S - [chi][squared] and S - G[squared], and Stone's (2000) [chi][squared] and G[squared]. The results of this study indicated that the fit of an individual item was affected by the choice of model-fit analyses. The performance of fit indices appeared to vary depending on item response theory (IRT) model mixtures used for calibration, sample size, and test length. In terms of consistency among the fit indices, the statistics based on the same approach (e.g., S - [chi][squared] and S - G[squared] ) showed considerably higher agreement in detecting misfitting items than the statistics based on different approaches (e.g., S - [chi][squared] and [chi][squared*]). Consistent and inconsistent findings compared to previous research are discussed along with practical implications. (Contains 3 tables and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10