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Direct linkRoschmann, Sarina; Witmer, Sara E.; Volker, Martin A. – International Journal of Testing, 2021
Accommodations are commonly provided to address language-related barriers students may experience during testing. Research on the validity of scores from accommodated test administrations remains somewhat inconclusive. The current study investigated item response patterns to understand whether accommodations, as used in practice among English…
Descriptors: Testing Accommodations, English Language Learners, Scores, Item Response Theory
Furlow, Carolyn F.; Ross, Terris Raiford; Gagne, Phill – Applied Psychological Measurement, 2009
Douglas, Roussos, and Stout introduced the concept of differential bundle functioning (DBF) for identifying the underlying causes of differential item functioning (DIF). In this study, reference group was simulated to have higher mean ability than the focal group on a nuisance dimension, resulting in DIF for each of the multidimensional items…
Descriptors: Test Bias, Test Items, Reference Groups, Simulation
Koon, Sharon – ProQuest LLC, 2010
This study examined the effectiveness of the odds-ratio method (Penfield, 2008) and the multinomial logistic regression method (Kato, Moen, & Thurlow, 2009) for measuring differential distractor functioning (DDF) effects in comparison to the standardized distractor analysis approach (Schmitt & Bleistein, 1987). Students classified as participating…
Descriptors: Test Bias, Test Items, Reference Groups, Lunch Programs
Puhan, Gautam; Moses, Timothy P.; Yu, Lei; Dorans, Neil J. – Journal of Educational Measurement, 2009
This study examined the extent to which log-linear smoothing could improve the accuracy of differential item functioning (DIF) estimates in small samples of examinees. Examinee responses from a certification test were analyzed using White examinees in the reference group and African American examinees in the focal group. Using a simulation…
Descriptors: Test Items, Reference Groups, Testing Programs, Raw Scores
Klockars, Alan J.; Lee, Yoonsun – Journal of Educational Measurement, 2008
Monte Carlo simulations with 20,000 replications are reported to estimate the probability of rejecting the null hypothesis regarding DIF using SIBTEST when there is DIF present and/or when impact is present due to differences on the primary dimension to be measured. Sample sizes are varied from 250 to 2000 and test lengths from 10 to 40 items.…
Descriptors: Test Bias, Test Length, Reference Groups, Probability
