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Cho, Sun-Joo; Suh, Youngsuk; Lee, Woo-yeol – Educational Measurement: Issues and Practice, 2016
The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called…
Descriptors: Test Bias, Research Methodology, Evaluation Methods, Models
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Goldstein, Harvey – Educational Measurement: Issues and Practice, 1994
This article examines how psychometric models based on certain assumptions have come to be used counterproductively by many practitioners in ways that limit the kinds of conclusions that can be made. The general problem of the context's influence on performance is discussed, and some implications are drawn. (SLD)
Descriptors: Context Effect, Educational Research, Evaluation Methods, Measurement Techniques
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Harris, Deborah – Educational Measurement: Issues and Practice, 1989
This instructional module discusses the one-, two-, and three-parameter logistic item response theory (IRT) models. Mathematical formulas are given for each model and they are compared, with figures illustrating the effects of changing parameters. A single data set is used to demonstrate the effects of changing parameter values. (SLD)
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Instructional Materials
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Powers, Donald E. – Educational Measurement: Issues and Practice, 1993
Several available summaries of research on coaching for the Scholastic Aptitude Test (SAT) are described, and their principal findings are discussed. Several additional studies are reviewed, and their findings are related to the summaries. Overall, the effects of coaching may be less than many students suppose. (SLD)
Descriptors: Achievement Gains, College Entrance Examinations, Course Evaluation, High School Students