Leniency of Raters across Time-Points

Hung and Wang (2012) report that 238 workers from were assessed on four occasions by five managers according to five job criteria (thoroughness, creativity, complexity, structure, and accuracy) along a 5-point rating scale.

WinBUGS was used to model the changes in rater leniency/severity. In the Paper's Figure 2, reproduced here, we see that the raters did not follow a predictable pattern across time. Always the most severe was Rater 2. If we assume that the true distribution of the workers are the same in each Department, then workers rated by Rater 2 are disadvantaged. Their ratings would always be lower than workers in the other Departments. This Paper supports the proposition that performance ratings must be adjusted for the severity of the raters.

Hung, L-F, Wang, W-C (2012). The Generalized Multilevel Facets Model for Longitudinal Data. Journal of Educational and Behavioral Statistics, 37, 2, 231-255.

Figure 2. Mean severity for the five raters across time points in Hung & Wang (2012).

Adjusting for Rater Leniency

"Figure 3, which plots the average number of stars awarded (Y-axis) as function of the Rasch product parameters (X-axis). It can be seen that the relation between these two variables is decidedly non-linear because raw differences near the top underestimate the true differences, thereby again calling into question the use of raw scores (presently, the number of stars) as quantitative indices."

Lange R., Lange X. (2012) Quality Control in Crowdsourcing. AAAI Spring Symposium Series, 2012

Leniency of Raters across Time-Points, Hung, L-F, Wang, W-C, Rasch Measurement Transactions, 2012, 26:1, 1358

Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn. George Engelhard, Jr. & Jue Wang	Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene	Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver	Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone	Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes	Statistical Analyses for Language Testers (Facets), Rita Green	Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind	Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M	Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind	Rasch Measurement: Applications, Khine	Winsteps Tutorials - free Facets Tutorials - free	Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre	Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan
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Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar	Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch	Rasch Models for Measurement, David Andrich	Constructing Measures, Mark Wilson	Best Test Design - free, Wright & Stone Rating Scale Analysis - free, Wright & Masters
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