Effectiveness of Equating at the Passing Score for Exams with Small Sample Sizes

Autor/inn/en	Wolkowitz, Amanda A.; Wright, Keith D.
Titel	Effectiveness of Equating at the Passing Score for Exams with Small Sample Sizes
Quelle	In: Journal of Educational Measurement, 56 (2019) 2, S.361-390 (30 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12212
Schlagwörter	Error Patterns; Sample Size; Test Theory; Test Bias; Equated Scores + Suchen Sie Ihr Suchwort? Fehlertyp; Testtheorie; Testkritik
Abstract	This article explores the amount of equating error at a passing score when equating scores from exams with small samples sizes. This article focuses on equating using classical test theory methods of Tucker linear, Levine linear, frequency estimation, and chained equipercentile equating. Both simulation and real data studies were used in the investigation. The results of the study supported past findings that as the sample sizes increase, the amount of bias in the equating at the passing score decreases. The research also highlights the importance for practitioners to understand the data, to have an informed expectation of the results, and to have a documented rationale for an acceptable amount of equating error. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01