Rater Errors among Peer-Assessors: Applying the Many-Facet Rasch Measurement Model
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Abstract: (6341 Views) |
In this study, the researcher used the many-facet Rasch measurement model (MFRM) to detect two pervasive rater errors among peer-assessors rating EFL essays. The researcher also compared the ratings of peer-assessors to those of teacher assessors to gain a clearer understanding of the ratings of peer-assessors. To that end, the researcher used a fully crossed design in which all peer-assessors rated all the essays MA students enrolled in two Advanced Writing classes in two private universities in Iran wrote. The peer-assessors used a 6-point analytic rating scale to evaluate the essays on 15 assessment criteria. The results of Facets analyses showed that, as a group, peer-assessors did not show central tendency effect and halo effect; however, individual peer-assessors showed varying degrees of central tendency effect and halo effect. Further, the ratings of peer-assessors and those of teacher assessors were not statistically significantly different. |
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Keywords: Peer-assessment, Rater effects, Rating, Many-facet Rasch measurement model |
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Full-Text [PDF 594 kb]
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Type of Study: Research |
Subject:
General Received: 2015/05/10 | Accepted: 2015/08/15 | Published: 2015/09/21
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