Paper
10 November 2022 Research on the application of multifaceted Rasch model analysis software facets in English test
Guidong Zhang
Author Affiliations +
Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123312U (2022) https://doi.org/10.1117/12.2653059
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China
Abstract
At present, most oral English tests use manual scoring, which has many drawbacks. In the past English tests, the scores of the subjects often depend on the subjective impression of the rater. Because of the strong subjectivity in the English test, the reliability of the English test is not high. In order to improve this situation, you can use the multi-faceted Rasch The model is improved. The multi-faceted Rasch model can use a rigorous mathematical statistical probability model to standardize test scoring through various data generated in the test, and correct deviations in the scoring, so as to achieve the fairness of the scoring of the spoken English test. The multi-faceted Rasch model can be completed by the analysis software Facets. This software can complete the deviation analysis of examinees, graders, grading standards and other aspects by relatively simple setting of the parameters of the required model.
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Guidong Zhang "Research on the application of multifaceted Rasch model analysis software facets in English test", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123312U (10 November 2022); https://doi.org/10.1117/12.2653059
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KEYWORDS
Analytical research

Mathematical modeling

Data modeling

Statistical analysis

Statistical modeling

Error analysis

Computer simulations

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