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60.030 - Psychometric Modeling of Raters

Sun, April 19, 8:15 to 9:45am, Hyatt, Floor: West Tower - Gold Level, Hong Kong

Session Type: Symposium

Abstract

This session focuses on psychometric modeling of ratings, with particular attention to rater effects. The first paper examines the impact of extensive missing data on the statistical error rates associated with several latent trait model statistics employed for detecting rater effects. The second paper also looks at the issue of missing data in operational rating projects by considering whether full-information maximum likelihood estimation allows for the recovery of interrater reliability coefficients in sparse data matrices. The third paper presents a tri-factor latent trait model which is suitable for capturing variability in rating data contributed by examinees, raters, and items. The fourth paper explores the application of the hyperbolic cosine unfolding model to the detection of rater effects.

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