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Examining the Precision of Cut Scores Within a Generalizability Theory Framework: A Closer Look at the Item Effect
Posted: June 3, 2020 | B. E. Clauser, M. Kane, J. C. Clauser
Journal of Educational Measurement: Volume 57, Issue 2, Pages 216-229
This article presents two generalizability-theory–based analyses of the proportion of the item variance that contributes to error in the cut score. For one approach, variance components are estimated on the probability (or proportion-correct) scale of the Angoff judgments, and for the other, the judgments are transferred to the theta scale of an item response theory model before estimating the variance components.