Showing 1 - 2 of 2 Research Library Publications

Quantifying the Bias of Non-linear Equating and Score Transformations

Posted: | Matthias von Davier, Brian Clauser

Essays on Contemporary Psychometrics: Pages 163-180

 

This paper shows that using non-linear functions for equating and score transformations leads to consequences that are not commensurable with classical test theory (CTT). More specifically, a well-known theorem from calculus shows that the expected value of a non-linearly transformed variable does not equal the transformed expected value of this variable.

Category:Assessment-Oriented Research, Scoring

Providing Utility, Not Scores: Visualizations to Support Subscore Inferences

Posted: | R. A Feinberg, D. P. Jurich

Educational Measurement: Issues and Practice, 37: 5-8

 

This article spotlights the winners of the 2018 EM:IP Cover Graphic/Data Visualization Competition.

Category:Assessment-Oriented Research, Scoring