Introduction to Many-Facet Rasch Measurement: Analyzing and Evaluating Rater-Mediated Assessments
By T. Eckes. 2011
180 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/2b999f633a603f1366d3dcfbe3c23c01974faa9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Vahid Aryadoust
- Larry Davis
- Li Ying Ng
- Hiroki Sayama
- T. Eckes
- S. Youn
- Lyn May
- Srividya Ramasubramanian
Citations in the corpus
- The influence of training and experience on rater performance in scoring spoken language (2016, background): “Nonetheless, considerable variation in rater severity persists after training (Eckes, 2011; Lumley & McNamara, 1995) and variability in scoring criteria and decision-making processes may persist as well (Meiron, 1998; Orr, 2002; Papajohn, 2002).”
- Operational Rater Types in Writing Assessment: Linking Rater Cognition to Rater Behavior (2012, methodology): “Use of an MFRM modeling approach implies the assumption that raters acted as independent experts (e.g., Eckes, 2011; Linacre, 1997).”
- A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research (2020, methodology): “This model was readily adopted in language assessment (Eckes, 2015; McNamara, 1991, 1996) and is now considered one of the most useful validation tools in studies of rater effects and bias in performance assessments (e.”