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

Autor:	Kyong Hee Chon, Timothy N. Ansley, Won-Chan Lee
Rok vydání:	2013
Předmět:	Item analysis Calibration (statistics) behavioral disciplines and activities Differential item functioning Education Test (assessment) Goodness of fit Consistency (statistics) Sample size determination Item response theory Statistics Developmental and Educational Psychology Econometrics Psychology
Zdroj:	Applied Measurement in Education. 26:1-15
ISSN:	1532-4818 0895-7347
DOI:	10.1080/08957347.2013.739419
Popis:	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 , Orlando and Thissen's (2000) and , and Stone's (2000) and . 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., and ) showed considerably higher agreement in detecting misfitting items than the statistics based on different approaches (e.g., and ). Consistent and inconsistent findings compared to previous research are discussed along with practical implications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bdf7dfed476ddc05e1b568a8586d203e https://doi.org/10.1080/08957347.2013.739419 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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