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| Journal of Educational… | 7 |
Author
| Cohen, Allan S. | 2 |
| Kelderman, Henk | 1 |
| Kim, Seock-Ho | 1 |
| Macready, George B. | 1 |
| Nandakumar, Ratna | 1 |
| Rogers, H. Jane | 1 |
| Sawyer, Richard | 1 |
| Swaminathan, Hariharan | 1 |
| Zwick, Rebecca | 1 |
Publication Type
| Journal Articles | 7 |
| Reports - Evaluative | 5 |
| Reports - Research | 2 |
| Speeches/Meeting Papers | 1 |
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Peer reviewedSawyer, Richard – Journal of Educational Measurement, 1986
This study was designed to determine whether adjustments for the differential prediction observed among sex, racial/ethnic, or age subgroups in one freshman class at a college could be used to improve prediction accuracy for these subgroups in future freshman classes. (Author/LMO)
Descriptors: College Freshmen, Error of Measurement, Grade Prediction, Higher Education
Peer reviewedSwaminathan, Hariharan; Rogers, H. Jane – Journal of Educational Measurement, 1990
A logistic regression model for characterizing differential item functioning (DIF) between two groups is presented. A distinction is drawn between uniform and nonuniform DIF in terms of model parameters. A statistic for testing the hypotheses of no DIF is developed, and simulation studies compare it with the Mantel-Haenszel procedure. (Author/TJH)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedZwick, Rebecca; And Others – Journal of Educational Measurement, 1993
Two extensions of the Mantel Haenszel procedure that may be useful in assessing differential item functioning (DIF) are explored. Simulation results showed that, for both inferential procedures, the studied item should be included in the matching variable, as in the dichotomous case. (SLD)
Descriptors: Computer Simulation, Educational Assessment, Elementary Secondary Education, Equations (Mathematics)
Peer reviewedKelderman, Henk; Macready, George B. – Journal of Educational Measurement, 1990
Loglinear latent class models are used to detect differential item functioning (DIF). Likelihood ratio tests for assessing the presence of various types of DIF are described, and these methods are illustrated through the analysis of a "real world" data set. (TJH)
Descriptors: Difficulty Level, Equations (Mathematics), Item Bias, Item Response Theory
Peer reviewedNandakumar, Ratna – Journal of Educational Measurement, 1993
The phenomenon of simultaneous differential item functioning (DIF) amplification and cancellation and the role of the SIBTEST approach in detecting DIF are investigated with a variety of simulated test data. The effectiveness of SIBTEST is supported, and the implications of DIF amplification and cancellation are discussed. (SLD)
Descriptors: Computer Simulation, Elementary Secondary Education, Equal Education, Equations (Mathematics)
Peer reviewedKim, Seock-Ho; Cohen, Allan S. – Journal of Educational Measurement, 1992
Effects of the following methods for linking metrics on detection of differential item functioning (DIF) were compared: (1) test characteristic curve method (TCC); (2) weighted mean and sigma method; and (3) minimum chi-square method. With large samples, results were essentially the same. With small samples, TCC was most accurate. (SLD)
Descriptors: Chi Square, Comparative Analysis, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedCohen, Allan S.; And Others – Journal of Educational Measurement, 1991
Detecting differential item functioning (DIF) on test items constructed to favor 1 group over another was investigated on parameter estimates from 2 item response theory-based computer programs--BILOG and LOGIST--using data for 1,000 White and 1,000 Black college students. Use of prior distributions and marginal-maximum a posteriori estimation is…
Descriptors: Black Students, College Students, Computer Assisted Testing, Equations (Mathematics)
