2023
DOI: 10.30998/scope.v8i1.19432
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Rater Severity/Leniency and Bias in EFL Students' Composition Using Many-Facet Rasch Measurement (MFRM)

Yenni Arif Rahman,
Fitri Apriyanti,
Rahmi Aulia Nurdini

Abstract: <p>The study aims to investigate the extent to which raters exhibit tendencies towards being overly severe, lenient, or even bias when evaluating students' writing compositions in Indonesia. Data were collected from 15 student essays and four raters with master's degrees in English education. The Many-facet Rasch measurement (MFRM), automatized by Minifac software, a program created for the Many-facet Rasch measurement, was used for data analysis. This was done by meticulously dissecting the assessment p… Show more

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