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ERIC Number: EJ1467022
Record Type: Journal
Publication Date: 2025
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1543-4303
EISSN: EISSN-1543-4311
Available Date: 0000-00-00
A Comparison of Yen's Q3 Coefficient and Rasch Testlet Modeling for Identifying Local Item Dependence: Evidence from Two Vocabulary Matching Tests
Language Assessment Quarterly, v22 n1 p56-76 2025
This article compares two methods for detecting local item dependence (LID): residual correlation examination and Rasch testlet modeling (RTM), in a commonly used 3:6 matching format and an extended matching test (EMT) format. The two formats are hypothesized to facilitate different levels of item dependency due to differences in the number of options and instructions regarding option recycling. The findings indicate that (1) RTM allows deeper LID inspection compared to residual correlation examination in matching tests, and (2) the EMT format has good resistance to LID while the traditional 3:6 format does not.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Vietnam
Grant or Contract Numbers: N/A
Author Affiliations: 1Victoria University of Wellington, Wellington, New Zealand; 2University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City, Vietnam; 3University of Niigata Prefecture, Niigata, Japan