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ERIC Number: EJ836371
Record Type: Journal
Publication Date: 2009
Pages: 16
Abstractor: As Provided
Reference Count: 24
ISSN: ISSN-0146-6216
Asymptotic and Sampling-Based Standard Errors for Two Population Invariance Measures in the Linear Equating Case
Rijmen, Frank; Manalo, Jonathan R.; von Davier, Alina A.
Applied Psychological Measurement, v33 n3 p222-237 2009
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.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A