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JCR 2016
جستجوی مقالات
یکشنبه 23 آذر 1404
Iranian Journal of Applied Linguistics
، جلد ۲۴، شماره ۲، صفحات ۱۳۵-۱۶۱
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
A Three-Parameter Logistic IRT Calibration of the Items of the TEFL MA Admission Test as a High-Stakes Test in Iran
چکیده انگلیسی مقاله
To explore the characteristics of the items of the Teaching English as a Foreign Language (TEFL) MA Admission Test (henceforth TMAAT) as a high-stakes test in Iran, the current research utilized a three-parameter logistic Item Response Theory (IRT) calibration of the test items. The three-parameter logistic IRT model is the most comprehensive among the three models of IRT for it takes into account all the three effective parameters of item difficulty, item discrimination, and guessing simultaneously. The data were a random selection of 1000 TMAAT candidates taking the test in 2020 collected from Iran’s National Organization of Educational Testing (NOET). The software used to analyze the data was jMetrik (Version 4.1.1), which is the newest version so far. As the results indicated, the TMAAT worked well in discriminating the higher and lower ability candidates and preventing the candidates from guessing the responses by chance, but it was not much acceptable regarding the difficulty level of the items as the items were far too difficult for the test-takers. The most important
beneficiaries of the present investigation are test developers, testing experts, and policy-makers in Iran since they are responsible to improve the quality of the items in such a high-stakes test.
کلیدواژههای انگلیسی مقاله
Guessing, High-stakes test, Item difficulty, Item discrimination, Three-parameter IRT model
نویسندگان مقاله
| Fateme Nikmard
Islamic Azad University, Karaj
| Kobra Tavassoli
Islamic Azad University, Karaj
نشانی اینترنتی
http://ijal.khu.ac.ir/browse.php?a_code=A-10-27-2&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
تخصصی
نوع مقاله منتشر شده
پژوهشی
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