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Magis, David; Facon, Bruno – Educational and Psychological Measurement, 2013
Item purification is an iterative process that is often advocated as improving the identification of items affected by differential item functioning (DIF). With test-score-based DIF detection methods, item purification iteratively removes the items currently flagged as DIF from the test scores to get purified sets of items, unaffected by DIF. The…
Descriptors: Test Bias, Test Items, Statistical Analysis, Error of Measurement
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Finch, W. Holmes; Hernández Finch, Maria E. – Educational and Psychological Measurement, 2013
The assessment of test data for the presence of differential item functioning (DIF) is a key component of instrument development and validation. Among the many methods that have been used successfully in such analyses is the mixture modeling approach. Using this approach to identify the presence of DIF has been touted as potentially superior for…
Descriptors: Learning Disabilities, Testing Accommodations, Test Bias, Item Response Theory