This paper uses a Monte Carlo study to compare some DIFdetection techniques with respect to their ability to detect uniform aswell as nonuniform item bias.The techniques that are used in the comparison are the loglinearmodel, the logistic regression model, the signed and the unsignedarea between the item characteristic curves, the SOS1 and theSOS3 measure. A first Monte Carlo study was set up to assess theempirical distributions of the unsigned area (in the 2-PLM), theSOS1 and the SOS3 measures. A second simulation study compares all these techniques with respect to their ability to detect DIF. It was alsoinvestigated whether using a two-stage approachyields better results.
Quality & Quantity – Springer Journals
Published: Oct 13, 2004
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