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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) …
The Impact Of Multidimensionality On The Detection Of Differential Bundle Functioning Using Sibtest., Terris Raiford-Ross
The Impact Of Multidimensionality On The Detection Of Differential Bundle Functioning Using Sibtest., Terris Raiford-Ross
Educational Policy Studies Dissertations
In response to public concern over fairness in testing, conducting a differential item functioning (DIF) analysis is now standard practice for many large-scale testing programs (e.g., Scholastic Aptitude Test, intelligence tests, licensing exams). As highlighted by the Standards for Educational and Psychological Testing manual, the legal and ethical need to avoid bias when measuring examinee abilities is essential to fair testing practices (AERA-APA-NCME, 1999). Likewise, the development of statistical and substantive methods of investigating DIF is crucial to the goal of designing fair and valid educational and psychological tests. Douglas, Roussos and Stout (1996) introduced the concept of item bundle …