The MIMIC Method With Scale Purification for Detecting Differential Item Functioning

doi:10.1177/0013164409332228

The MIMIC Method With Scale Purification for Detecting Differential Item Functioning

2009-03-16

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DOI：10.1177/0013164409332228

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This study implements a scale purification procedure onto the standard MIMIC method for differential item functioning (DIF) detection and assesses its performance through a series of simulations. It is found that the MIMIC method with scale purification (denoted as M-SP) outperforms the standard MIMIC method (denoted as M-ST) in controlling false-positive rates and yielding higher true-positive rates. Only when the DIF pattern is balanced between groups or when there is a small percentage of DIF items in the test does M-ST perform as appropriately as M-SP. Moreover, both methods yield a higher true-positive rate under the two-parameter logistic model than under the three-parameter model. M-SP is preferable to M-ST, because DIF patterns in real tests are unlikely to be perfectly balanced and the percentages of DIF items may not be small.

The MIMIC Method With Scale Purification for Detecting Differential Item Functioning

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