Conditional Standard Error of Measurement: Classical Test Theory, Generalizability Theory and Many-Fact Rasch Measurement with Applications to Writing Assessment

Alan Huebner & Gustaf B. Skar
Writing assessments often consist of students responding to multiple prompts, which are judged by more than one rater. To establish the reliability of these assessments, there exist different methods to disentangle variation due to prompts and raters, including classical test theory, Many Facet Rasch Measurement (MFRM), and Generalizability Theory (G-Theory). Each of these methods defines a standard error of measurement (SEM), which is a quantity that summarizes the overall variability of student scores. However, less...

Registration Year

  • 2021
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  • Journal Article
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Affiliations

  • University of Notre Dame
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  • Norwegian University of Science and Technology
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