Choosing an Appropriate Cognitive Diagnostic Model for Reading Comprehension Tests: A Case Study of the Graduate Entrance Exam of the English language

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Rahemei Reyhaneh; DELAVAR ALI; Younesei Jalil; Naserei Zohreh Sadat

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF EDUCATIONAL MEASUREMENT AND EVALUATION STUDIES Year:2020 | Volume:10 | Issue:29 Page(s): 205-227

Download Full-Text

Persian Verion

View:

660

Download:

Cites:

Information Journal Paper

Title

Choosing an Appropriate Cognitive Diagnostic Model for Reading Comprehension Tests: A Case Study of the Graduate Entrance Exam of the English language

Author(s)

Rahemei Reyhaneh | DELAVAR ALI | Younesei Jalil | Naserei Zohreh Sadat | Issue Writer Certificate

Keywords

Cognitive Diagnostic AssessmentQ1

Matrix QQ1

General ModelQ1

Compensatory ModelQ1

Non-Compensatory ModelQ1

Abstract

Cognitive Diagnostic Assessment is a type of educational assessment that serves to identification and diagnosis of the learning disabilities through the application of psychometric models. Presence of numerous models, makes it crucial choose an appropriate Cognitive Diagnostic Model for data analysis. The purpose of this study was to determine a fitting model for reading comprehension tests. The examined data in this study were included responses from 3, 000 participants in the Graduate Entrance Exam for English language field, which were selected randomly out of 16044 people. After Creation of Matrix Q, two General Models (G-DINA and LCDM), two Compensatory Models (ACDM and DINO) and two non-Compensatory Models (RRUM and DINA) were considered for comparison. In terms of Chi-squared maximum Fit Index, none of the models were fitted; but in contrast the results of SRMSR index showed that the fit of all data were acceptable with the data. A comparison of Relative Fit Indices cleared that G-DINA and ACDM models have a stronger fit and DINO and DINA have a poorer fit in comparison to the other models. Also, investigating the Question Fit index showed that only G-DINA and LCDM have a fit with all questions.

Cites

No record.

References

No record.

Cite

APA: Copy

Rahemei, Reyhaneh, DELAVAR, ALI, Younesei, Jalil, & Naserei, Zohreh Sadat. (2020). Choosing an Appropriate Cognitive Diagnostic Model for Reading Comprehension Tests: A Case Study of the Graduate Entrance Exam of the English language. JOURNAL OF EDUCATIONAL MEASUREMENT AND EVALUATION STUDIES, 10(29 ), 205-227. SID. https://sid.ir/paper/255244/en

Vancouver: Copy

Rahemei Reyhaneh, DELAVAR ALI, Younesei Jalil, Naserei Zohreh Sadat. Choosing an Appropriate Cognitive Diagnostic Model for Reading Comprehension Tests: A Case Study of the Graduate Entrance Exam of the English language. JOURNAL OF EDUCATIONAL MEASUREMENT AND EVALUATION STUDIES[Internet]. 2020;10(29 ):205-227. Available from: https://sid.ir/paper/255244/en

IEEE: Copy

Reyhaneh Rahemei, ALI DELAVAR, Jalil Younesei, and Zohreh Sadat Naserei, “Choosing an Appropriate Cognitive Diagnostic Model for Reading Comprehension Tests: A Case Study of the Graduate Entrance Exam of the English language,” JOURNAL OF EDUCATIONAL MEASUREMENT AND EVALUATION STUDIES, vol. 10, no. 29 , pp. 205–227, 2020, [Online]. Available: https://sid.ir/paper/255244/en

Related Journal Papers