#11049. Examining severity and centrality effects in TestDaF writing and speaking assessments: An extended Bayesian many-facet Rasch analysis

September 2026publication date
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Journal’s subject area:
Education;
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Abstract:
Severity and centrality are two main kinds of rater effects posing threats to the validity and fairness of performance assessments. In this study, we separately estimated the magnitude of rater severity and centrality effects in the web-based writing and speaking assessments using Bayesian MCMC methods.
Keywords:
Bayesian statistics; facets models; performance assessment; rater centrality; Rater effects

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