Describes a Rasch rating scale analysis of a multi-occasion evaluation that produces confusing results when subjected to separate calibrations. Applies a correction algorithm developed by B. Wright (1996) to show how the Wright algorithm can reduce misfit to the Rasch rating scale model as well as changing the interpretation of change. (SLD)

This study examines the application of the marginal maximum likelihood (MML) EM algorithm to the parameter estimation problem of the three-parameter normal ogive and logistic polychotomous item response models. A three-parameter normal ogive model, the Graded Response model, has been developed on the basis of Samejima's two-parameter graded…

Performance rating systems frequently use multiple raters in order to improve the reliability of ratings. However, unless all candidates are rated by the same raters, some candidates will be at an unfair advantage or disadvantage solely because they were rated by more stringent or lenient raters. To obtain fair and accurate evaluations of…