Small-Sample Equating Using a Synthetic Linking Function

Autor/inn/en	Kim, Sooyeon; von Davier, Alina A.; Haberman, Shelby
Titel	Small-Sample Equating Using a Synthetic Linking Function
Quelle	In: Journal of Educational Measurement, 45 (2008) 4, S.325-342 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2008.00068.x
Schlagwörter	Equated Scores; Sample Size; Test Reliability; Comparative Analysis; Test Bias; Test Format + Suchen Sie Ihr Suchwort? Testreliabilität; Testkritik; Testentwicklung
Abstract	This study addressed the sampling error and linking bias that occur with small samples in a nonequivalent groups anchor test design. We proposed a linking method called the synthetic function, which is a weighted average of the identity function and a traditional equating function (in this case, the chained linear equating function). Specifically, we compared the synthetic, identity, and chained linear functions for various-sized samples from two types of national assessments. One design used a highly reliable test and an external anchor, and the other used a relatively low-reliability test and an internal anchor. The results from each of these methods were compared to the criterion equating function derived from the total samples with respect to linking bias and error. The study indicated that the synthetic functions might be a better choice than the chained linear equating method when samples are not large and, as a result, unrepresentative. (Contains 4 tables, 10 figures, and 15 formulas.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10