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Assessing Rasch measurement estimation methods across R packages with yes/no vocabulary test data ...
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Assessing Rasch measurement estimation methods across R packages with yes/no vocabulary test data ...
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Abstract:
Instrument measurement conducted with Rasch analysis is a common process in language assessment research. A recent systematic review of 215 studies involving Rasch analysis in language testing and applied linguistics research reported that 23 different software packages had been utilized. However, none of the analyses were conducted with one of the numerous R-based Rasch analysis software packages, which generally employ one of the three estimation methods: conditional maximum likelihood estimation (CMLE), joint maximum likelihood estimation (JMLE), or marginal maximum likelihood estimation (MMLE). For this study, eRm, a CMLE-based R package, was utilized to conduct a dichotomous Rasch analysis of a Yes/No vocabulary test based on the academic word list. The resulting parameters and diagnostic statistics were compared with the equivalent results from four other R-based Rasch measurement software packages and Winsteps. Finally, all of the packages were utilized in the analysis of 1000 simulated datasets to ...
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Keyword:
200399 Language Studies not elsewhere classified; Education; FOS Languages and literature
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URL: https://dx.doi.org/10.25384/sage.c.5824887 https://sage.figshare.com/collections/Assessing_Rasch_measurement_estimation_methods_across_R_packages_with_yes_no_vocabulary_test_data/5824887
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sj-docx-1-ltj-10.1177_02655322211066822 – Supplemental material for Assessing Rasch measurement estimation methods across R packages with yes/no vocabulary test data ...
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sj-docx-1-ltj-10.1177_02655322211066822 – Supplemental material for Assessing Rasch measurement estimation methods across R packages with yes/no vocabulary test data ...
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