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Using Three Different Categorical Data Analysis Techniques To Detect Differential Item Functioning, Torie Amelia Stephens-Bonty
Using Three Different Categorical Data Analysis Techniques To Detect Differential Item Functioning, Torie Amelia Stephens-Bonty
Educational Policy Studies Dissertations
Diversity in the population along with the diversity of testing usage has resulted in smaller identified groups of test takers. In addition, computer adaptive testing sometimes results in a relatively small number of items being used for a particular assessment. The need and use for statistical techniques that are able to effectively detect differential item functioning (DIF) when the population is small and or the assessment is short is necessary. Identification of empirically biased items is a crucial step in creating equitable and construct-valid assessments. Parshall and Miller (1995) compared the conventional asymptotic Mantel-Haenszel (MH) with the exact test (ET) …