Severity and centrality are two main kinds of rater effects posing threats to the validity and fairness of performance assessments. Adopting Jin and Wang's (2018) extended facets modeling approach, we separately estimated the magnitude of rater severity and centrality effects in the web-based TestDaF (Test of German as a Foreign Language) writing…

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be "trained" using machine-learning techniques that incorporate human ratings. However, the…

Many approaches to standard-setting use item calibration and student score estimation results to structure panelists' tasks. However, this requires collecting standard-setting judgments after the item analysis results are available. The Scoring Guide Alignment approach collects standard-setting judgments during the scoring sessions from teachers…