A comparative investigation of scale-setting in MACS DIF analysis: A potential approach to the problems of a biased anchor

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Abstract

Measurement invariance is a critical issue in psychological and educational research because it is often required for meaningful group comparisons. A designated, unbiased anchor is desired for any invariance analysis, because the bias in an innocuously chosen anchor may lead to erroneous conclusions about item-level invariance, or equivalently, differential item functioning (DIF). This article presents an application of the effects-coded scaling as an alternative to the conventional, marker-variable scaling in mean and covariance structure (MACS) DIF analysis. By means of Monte Carlo simulation, this article examined if this new approach possibly leverages the problems of a biased anchor. Simulation results suggest that the effects-coded method provides some favorable outcomes over the marker-variable method but more research is needed to refine MACS DIF analysis.
Original languageEnglish
Pages (from-to)669–694
JournalJournal of Educational Evaluation
StatePublished - 2013

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