Distractor Analysis in Multiple-Choice Items Using the Rasch Model

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 47

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شناسه ملی سند علمی:

JR_IJLT-13-0_006

تاریخ نمایه سازی: 30 بهمن 1402

چکیده مقاله:

Multiple-choice (MC) item format is commonly used in educational assessments due to its economy and effectiveness across a variety of content domains. However, numerous studies have examined the quality of MC items in high-stakes and higher education assessments and found many flawed items, especially in terms of distractors. These faulty items lead to misleading insights about the performance of students and the final decisions. The analysis of distractors is typically conducted in educational assessments with multiple-choice items to ensure high quality items are used as the basis of inference. Item response theory (IRT) and Rasch models have received little attention for analyzing distractors. For that reason, the purpose of the present study was to apply the Rasch model, to a grammar test to analyze items’ distractors of the test. To achieve this, the current study investigated the quality of ۱۰ instructor-written MC grammar items used in an undergraduate final exam, using the items responses of ۳۱۰ English as a foreign language (EFL) students who had taken part in an advanced grammar course. The results showed the acceptable fit to the Rasch model and high reliability. Malfunctioning distractors were identified.

نویسندگان

Omarov Bakytbekovich

Non-profit Joint Stock Company Semey Medical University, Department of Hospital Surgery, ۰۷۱۴۰۰-Semey City, Abai Street, ۱۰۳, Republic of the Kazakhstan.

Aisha Mohammed

College of Education, Al-Farahidi University, Baghdad, Iraq

Ammar Alghurabi

College of Education, The Islamic University in Najaf, Iraq

Hajir Alallo

English Department, Ahl-Al-Bayt University, Kerbala, Iraq

Yusra Ali

Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq

Aalaa Yaseen Hassan

Al-Nisour University College, Baghdad, Iraq

Lyazat Demeuova

Institute of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan

Shvedova Viktorovna

People’s Friendship University of Russia, Moscow, Russia

Bekenova Nazym

Candidate of Biological Sciences, Docent, Institute of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan.

Al Khateeb Afif

People’s Friendship University of Russia, Moscow, Russia