Abstract

In this paper, an overview of the observed-score equating (OSE) process is provided from the perspective of a unifying equating framework (von Davier in von Davier (Ed.), Statistical models for test equating, scaling, and linking, Springer, New York, pp. 1-17, 2011b). The framework includes all OSE approaches. Issues related to the test, common items, and sampling designs and their relationship to measurement and equating are discussed. Challenges to the equating process, model assumptions, and approaches to equating evaluation are also presented. The equating process is illustrated step-by-step with a real data example from a licensure test.

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