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Item Response Theory Observed-Score Kernel Equating

Published online by Cambridge University Press:  01 January 2025

Björn Andersson  and
Marie Wiberg
Björn Andersson*
Affiliation:
Beijing Normal University Uppsala University
Marie Wiberg
Affiliation:
Umeå University
*
Correspondence should be made to Björn Andersson, Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, No. 19 Xinjiekou Wai Street, Haidian District, 100875 Beijing, China. Email: bjoern.andersson@bnu.edu.cn
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Abstract

Item response theory (IRT) observed-score kernel equating is introduced for the non-equivalent groups with anchor test equating design using either chain equating or post-stratification equating. The equating function is treated in a multivariate setting and the asymptotic covariance matrices of IRT observed-score kernel equating functions are derived. Equating is conducted using the two-parameter and three-parameter logistic models with simulated data and data from a standardized achievement test. The results show that IRT observed-score kernel equating offers small standard errors and low equating bias under most settings considered.

Keywords

observed-score equatingitem response theoryequipercentile equatingstandard errorsNEAT design

Information

Type
Original Paper
Information
Psychometrika , Volume 82 , Issue 1 , March 2017 , pp. 48 - 66
Copyright
Copyright © 2016 The Psychometric Society

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Footnotes

Electronic supplementary material The online version of this article (doi:10.1007/s11336-016-9528-7) contains supplementary material, which is available to authorized users.

The first author acknowledges the financial support from the Collaborative Innovation Center of Assessment toward Basic Education Quality at Beijing Normal University. The research in this article by the second author was funded by the Swedish Research Council Grant 2014-578.

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