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Direct linkFurlow, 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
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
Peer reviewedClauser, Brian; And Others – Journal of Educational Measurement, 1994
The effect of reducing the number of score groups in the matching criterion of the Mantel-Haenszel procedure when screening for differential item functioning was investigated with a simulated data set. Results suggest that more than modest reductions cannot be recommended when ability distributions of reference and focal groups differ. (SLD)
Descriptors: Ability, Experimental Groups, Item Bias, Reference Groups
Peer reviewedSmith, Richard M. – Educational and Psychological Measurement, 1994
Simulated data are used to assess the appropriateness of using separate calibration and between-fit approaches to detecting item bias in the Rasch rating scale model. Results indicate that Type I error rates for the null distribution hold even when there are different ability levels for reference and focal groups. (SLD)
Descriptors: Ability, Goodness of Fit, Identification, Item Bias
Download full textTang, Huixing – 1994
This paper describes an item response theory (IRT) based method of differential item functioning (DIF) detection that involves neither separate calibration nor ability grouping. IRT is used to generate residual scores, scores free of the effects of person or group ability and item difficulty. Analysis of variance is then used to test the group…
Descriptors: Ability Grouping, Analysis of Variance, Goodness of Fit, Identification
Ito, Kyoko; Sykes, Robert C. – 1994
Responses to previously calibrated items administered in a computerized adaptive testing (CAT) mode may be used to recalibrate the items. This live-data simulation study investigated the possibility, and limitations, of on-line adaptive recalibration of precalibrated items. Responses to items of a Rasch-based paper-and-pencil licensure examination…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
