A Comparison of Polytomous Rasch Models for the Analysis of C-Tests
Publish place: International Journal of Language Testing، Vol: 12، Issue: 2
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJLT-12-2_007
تاریخ نمایه سازی: 9 مهر 1401
Abstract:
A C-Test is a gap-filling test for measuring language competence in the first and second language. C-Tests are usually analyzed with polytomous Rasch models by considering each passage as a super-item or testlet. This strategy helps overcome the local dependence inherent in C-Test gaps. However, there is little research on the best polytomous Rasch model for C-Tests. In this study, the Rating Scale Model (RSM) and the Partial Credit Model (PCM) for analyzing C-Tests were compared. To this end, a C-Test composed of six passages with both RSM and PCM was analyzed. The models were compared in terms of overall fit, individual item fit, dimensionality, test targeting, and reliability. Findings showed that, although the PCM has a better overall fit compared to the RSM, both models produce similar test statistics. In light of the findings of the study, the choice of the best Rasch model for C-Tests will be discussed.
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Authors
Qasim Kadhim
English Language Department, Al-Mustaqbal University College, Babylon, Iraq
Safa Abdulridah
University of Warith Al-Anbiyaa, Karbala, Iraq
Dhameer A. Mutlak
Al-Nisour University College/Baghdad/Iraq
Nour Raheem Neamah
Al-Manara College for Medical Sciences (Maysan)/Iraq
Zaidoon Kareem
Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq
Doaa A. Hamad
Nursing Department, Hilla University College, Babylon, Iraq.
Jassim Tuama
Altoosi University College, Najaf, Iraq
Mohammed Qasim
Al-Esraa University College, Baghdad, Iraq