Showing 1 - 2 of 2 Research Library Publications
Posted: | 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.

Posted: | M. R. Raymond

CLEAR Exam Review 2018 27(2): 21-27

 

The purpose of this paper is to suggest an approach to job analysis that addresses broad competencies while maintaining the rigor of traditional job analysis and the specificity of good test blueprints.