Journal of Educational and Behavioral Statistics · 2005 · 33 citations · 9 references
EducationEducational MeasurementExperimental DesignItem Response TheoryPsychometricsMeasurement EquivalenceTest EquatingComparison Group DesignEquating Under Nonequivalent GroupsNon-equivalent Groups EquatingNonequivalent Groups EquatingObserved Score TheoryStandard Error EstimationTest Equating DesignTucker Equating
This article describes a new, unified framework for linear equating in a non-equivalent groups anchor test (NEAT) design. The authors focus on three methods for linear equating in the NEAT design—Tucker, Levine observed-score, and chain—and develop a common parameterization that shows that each particular equating method is a special case of the linear equating function in the NEAT design. A new concept, the method function, is used to distinguish among the linear equating functions, in general, and among the three equating methods, in particular. This approach leads to a general formula for the standard error of equating for all linear equating functions in the NEAT design. A new tool, the standard error of equating difference , is presented to investigate if the observed difference in the equating functions is statistically significant.
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