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Paper
Title

A Cognitive Diagnostic Modeling Analysis of the English Reading Comprehension Section of the Iranian National University Entrance Examination

Year: 1399
COI: JR_IJLT-10-1_002
Language: EnglishView: 89
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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

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.

Keywords:

Cognitive Diagnostic Model , reading comprehension test , National University Entrance Examination

Paper COI Code

This Paper COI Code is JR_IJLT-10-1_002. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1170473/

How to Cite to This Paper:

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Hemati, Seyed Jamal and Baghaei Moghadam, Purya,1399,A Cognitive Diagnostic Modeling Analysis of the English Reading Comprehension Section of the Iranian National University Entrance Examination,https://civilica.com/doc/1170473

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Scientometrics

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Type of center: Azad University
Paper count: 10,038
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