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A Review of ETS Differential Item Functioning Assessment Procedures: Flagging Rules, Minimum Sample Size Requirements, and Criterion Refinement. Research Report. ETS RR-12-08
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Zwick, Rebecca – ETS Research Report Series, 2012
Differential item functioning (DIF) analysis is a key component in the evaluation of the fairness and validity of educational tests. The goal of this project was to review the status of ETS DIF analysis procedures, focusing on three aspects: (a) the nature and stringency of the statistical rules used to flag items, (b) the minimum sample size…
Descriptors: Test Bias, Sample Size, Bayesian Statistics, Evaluation Methods
The Validity of the GMAT for the Prediction of Grades in Doctoral Study in Business and Management: An Empirical Bayes Approach.
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Zwick, Rebecca – Journal of Educational Statistics, 1993
A validity study with 5,219 students examined the degree to which Graduate Management Admission Test (GMAT) scores and undergraduate grade point average (GPA) could predict first-year average and final GPA in doctoral programs in business. The usefulness of the predictions derived from the empirical Bayes regression models is discussed. (SLD)
Descriptors: Administrator Education, Admission Criteria, Bayesian Statistics, Business Education