Native Language-Based DIF across the Subtests: A Study of the Iranian National University Entrance Exam
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 157
فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ELT-14-30_003
تاریخ نمایه سازی: 10 دی 1401
چکیده مقاله:
This paper reports on an investigation of native language-based differential item functioning (DIF) across the subtests of Iranian Undergraduate University Entrance Special English Exam (IUUESEE). Fourteen thousand one hundred seventy two foreign-language test takers (including four groups of Azeri, Persian, Kurdish, and Luri test takers) were chosen for the study. Uniform DIF (UDIF) and Non-uniform DIF (NUDIF) analyses were conducted on data from the four versions of IUUESEE. After establishing the unidimensionality and local independence of the data, DIF findings showed that Luri test takers were more advantaged than other native language groups across the subtests. NUDIF analysis uncovered that almost all subtests functioned in favor of low-ability test takers who haven’t been expected to outperform high-ability test takers. A probable explanation for native language-ability DIF was that Luri and low-ablity test takers were more likely to venture lucky guesses. Thoughtless errors and guessing, test-wiseness, overconfidence, stem length, unappealing distractors, and time were proposed as possible causes of DIF in IUUESEE. It was also found that the reading subtest included the large number of items with significant DIF.
کلیدواژه ها:
Iranian Undergraduate University Entrance Special English Exam (IUUESEE) ، Rasch Analysis ، Differential Item Functioning ، Native language
نویسندگان
Parviz Ajideh
English Language & Literature Department, University of Tabriz, Tabriz, Iran.
Massoud Yaghoubi-Notash
English Language & Literature Department, University of Tabriz, Tabriz, Iran.
Hamid Babaee Bormanaki
English Language & Literature Department, University of Tabriz, Tabriz, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :