DIF Testing with an Empirical-Histogram Approximation of the Latent Density for Each Group

Autor/in	Woods, Carol M.
Titel	DIF Testing with an Empirical-Histogram Approximation of the Latent Density for Each Group
Quelle	In: Applied Measurement in Education, 24 (2011) 3, S.256-279 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
Schlagwörter	Test Bias; Item Response Theory; Test Items; Measurement + Suchen Sie Ihr Suchwort? Testkritik; Item-Response-Theorie; Test content; Testaufgabe; Messverfahren
Abstract	This research introduces, illustrates, and tests a variation of IRT-LR-DIF, called EH-DIF-2, in which the latent density for each group is estimated simultaneously with the item parameters as an empirical histogram (EH). IRT-LR-DIF is used to evaluate the degree to which items have different measurement properties for one group of people versus another, irrespective of mean differences on the construct. Usually, the latent distribution is presumed normal for both groups, but results are biased if this assumption is violated. Simulations show that if the latent densities are nonnormal, Type I error and estimates of the item parameters and focal-group mean and SD are more accurate using EH-DIF-2 than standard methods. Free software for carrying out EH-DIF-2 is available on request. (Contains 3 figures, 4 tables, and 3 footnotes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10