Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Education
A Monte Carlo Study Investigating Missing Data, Differential Item Functioning, And Effect Size, Phyllis Lorena Garrett
A Monte Carlo Study Investigating Missing Data, Differential Item Functioning, And Effect Size, Phyllis Lorena Garrett
Educational Policy Studies Dissertations
ABSTRACT A MONTE CARLO STUDY INVESTIGATING MISSING DATA, DIFFERENTIAL ITEM FUNCTIONING, AND EFFECT SIZE by Phyllis Garrett The use of polytomous items in assessments has increased over the years, and as a result, the validity of these assessments has been a concern. Differential item functioning (DIF) and missing data are two factors that may adversely affect assessment validity. Both factors have been studied separately, but DIF and missing data are likely to occur simultaneously in real assessment situations. This study investigated the Type I error and power of several DIF detection methods and methods of handling missing data for polytomous …
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 …