Practical Application of a Synthetic Linking Function on Small-Sample Equating

Autor/inn/en	Kim, Sooyeon; von Davier, Alina A.; Haberman, Shelby
Titel	Practical Application of a Synthetic Linking Function on Small-Sample Equating
Quelle	In: Applied Measurement in Education, 24 (2011) 2, S.95-114 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
Schlagwörter	Testing Programs; Equated Scores; Investigations; Data Analysis; Evaluation Methods; Educational Testing; Equations (Mathematics); Statistical Analysis + Suchen Sie Ihr Suchwort? Untersuchung; Auswertung; Equations; Mathematics; Gleichungslehre; Statistische Analyse
Abstract	The synthetic function is a weighted average of the identity (the linking function for forms that are known to be completely parallel) and a traditional equating method. The purpose of the present study was to investigate the benefits of the synthetic function on small-sample equating using various real data sets gathered from different administrations of tests from a licensure testing program. We investigated the chained linear, Tucker, Levine, and mean equating methods, along with the identity and the synthetic functions with small samples (N = 19 to 70). The synthetic function did not perform as well as did other linear equating methods because test forms differed markedly in difficulty; thus, the use of the identity function produced substantial bias. The effectiveness of the synthetic function depended on the forms' similarity in difficulty. (Contains 6 tables, 4 footnotes and 2 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10