:: Volume 18, Issue 2 (9-2015) ::
2015, 18(2): 77-107 Back to browse issues page
Rater Errors among Peer-Assessors: Applying the Many-Facet Rasch Measurement Model
Abstract:   (5750 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.
Keywords: Peer-assessment, Rater effects, Rating, Many-facet Rasch measurement model
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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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Volume 18, Issue 2 (9-2015) Back to browse issues page