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Quantifying Item Invariance for the Selection of the Least Biased Assessment

Thu, April 16, 12:00 to 1:30pm, Sheraton, Floor: Fourth Level, Chicago VI&VII


The decision to select a measure that contains the least amount of differential item functioning (DIF) is paramount for practitioners to ensure they are making accurate decisions. There exists no user-friendly indices that capture the amount of DIF to allow comparisons across assessments or subtests from different tests. We introduce four effect sizes measures based on well-known DIF methods for such use. A simulation study evaluates the four indices in terms of quantifying item invariance across measures. Results show that these measures show promise in assisting practitioners in making such a decision. Increasing accessibility and use of such indices to inform instrument selection should add positively to the process of test score use and better decisions about individuals.