Asymptotic and Sampling-Based Standard Errors for Two Population Invariance Measures in the Linear Equating Case

Autor/inn/en	Rijmen, Frank; Manalo, Jonathan R.; von Davier, Alina A.
Titel	Asymptotic and Sampling-Based Standard Errors for Two Population Invariance Measures in the Linear Equating Case
Quelle	In: Applied Psychological Measurement, 33 (2009) 3, S.222-237 (16 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608323927
Schlagwörter	Error of Measurement; Sampling; Equated Scores; Statistical Analysis; Population Groups + Suchen Sie Ihr Suchwort? Messfehler; Statistische Analyse
Abstract	This article describes two methods for obtaining the standard errors of two commonly used population invariance measures of equating functions: the root mean square difference of the subpopulation equating functions from the overall equating function and the root expected mean square difference. The delta method relies on an analytical approximation and provides asymptotic standard errors, whereas the grouped jackknife method is a sampling-based method. The expressions for the delta method are presented for the linear equating function. Both methods were applied to a real data application. The results indicate little difference between the standard errors found by the two methods. (Contains 4 figures and 1 table.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10