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Albano, Anthony D. – Journal of Educational Measurement, 2013
In many testing programs it is assumed that the context or position in which an item is administered does not have a differential effect on examinee responses to the item. Violations of this assumption may bias item response theory estimates of item and person parameters. This study examines the potentially biasing effects of item position. A…
Descriptors: Test Items, Item Response Theory, Test Format, Questioning Techniques
French, Brian F.; Finch, W. Holmes – Journal of Educational Measurement, 2010
The purpose of this study was to examine the performance of differential item functioning (DIF) assessment in the presence of a multilevel structure that often underlies data from large-scale testing programs. Analyses were conducted using logistic regression (LR), a popular, flexible, and effective tool for DIF detection. Data were simulated…
Descriptors: Test Bias, Testing Programs, Evaluation, Measurement
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

Gohmann, Stephen F. – Journal of Educational Measurement, 1988
One method to correct for selection bias in comparing Scholastic Aptitude Test (SAT) scores among states is presented, which is a modification of J. J. Heckman's Selection Bias Correction (1976, 1979). Empirical results suggest that sample selection bias is present in SAT score regressions. (SLD)
Descriptors: Regression (Statistics), Sampling, Scoring, Selection

Sykes, Robert C.; Ito, Kyoko; Fitzpatrick, Anne R.; Ercikan, Kadriye – Journal of Educational Measurement, 1997
The five chapters of this report provide resources that deal with the validity, generalizability, comparability, performance standards, and fairness, equity, and bias of performance assessments. The book is written for experienced educational measurement practitioners, although an extensive familiarity with performance assessment is not required.…
Descriptors: Educational Assessment, Measurement Techniques, Performance Based Assessment, Standards