A Cognitive Diagnostic Modeling Analysis of the English Reading Comprehension Section of the Iranian National University Entrance Examination
Publish place: International Journal of Language Testing، Vol: 10، Issue: 1
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJLT-10-1_002
تاریخ نمایه سازی: 17 فروردین 1400
Abstract:
Cognitive Diagnostic Models are a class of multidimensional categorical latent trait models which provide diagnostic information by reporting examinees' mastery profiles on a set of predefined skills. CDMs provide fine grained information concerning examinees' strengths and weaknesses in the subskills and subprocesses which constitute a larger domain of knowledge. Such detailed information helps in classroom teaching, designing remedial courses, and material development. In this study, we analysed a high stakes English as a foreign language reading comprehension test using GDINA model. The skill profiles of the test takers, the class probabilities, attribute mastery probabilities, attribute difficulties, and model data fit at test and item level were examined. Implications of the study for reading comprehension research and CDM applications are discussed.
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Authors
Seyed Jamal Hemati
English Department, Islamic Azad University, Mashhad Branch, Mashhad, Iran
Purya Baghaei Moghadam
English Department, Islamic Azad University, Mashhad Branch, Mashhad, Iran