Investigating the Classification Accuracy of Rasch and Nominal Weights Mean Equating with Very Small Samples

Autor/inn/en	Furter, Robert T.; Dwyer, Andrew C.
Titel	Investigating the Classification Accuracy of Rasch and Nominal Weights Mean Equating with Very Small Samples
Quelle	In: Applied Measurement in Education, 33 (2020) 1, S.44-53 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1080/08957347.2019.1674307
Schlagwörter	Classification; Accuracy; Item Response Theory; Equated Scores; Sample Size; Psychometrics; Evaluation Methods; Test Items; Cutting Scores + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Item-Response-Theorie; Psychometry; Psychometrie; Test content; Testaufgabe
Abstract	Maintaining equivalent performance standards across forms is a psychometric challenge exacerbated by small samples. In this study, the accuracy of two equating methods (Rasch anchored calibration and nominal weights mean) and four anchor item selection methods were investigated in the context of very small samples (N = 10). Overall, nominal weights mean equating slightly outperformed Rasch equating for three of the four anchor item selection methods, but Rasch equating slightly outperformed nominal weights mean equating when anchor items were selected to be near the cut score. The results largely confirmed previous research on the utility of nominal weights mean equating for very small samples. In addition, the results provide useful guidance for small volume programs who wish to consider using Rasch for building and equating new forms. Lastly, the results underscored the importance of being mindful about the method for selecting anchor items when building new forms. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01