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ERIC Number: EJ1114312
Record Type: Journal
Publication Date: 2016-Oct
Pages: 25
Abstractor: As Provided
ISSN: ISSN-0265-5322
Fitting the Mixed Rasch Model to a Reading Comprehension Test: Exploring Individual Difference Profiles in L2 Reading
Aryadoust, Vahid; Zhang, Limei
Language Testing, v33 n4 p529-553 Oct 2016
The present study used the mixed Rasch model (MRM) to identify subgroups of readers within a sample of students taking an EFL reading comprehension test. Six hundred and two (602) Chinese college students took a reading test and a lexico-grammatical knowledge test and completed a Metacognitive and Cognitive Strategy Use Questionnaire (MCSUQ) (Zhang, Goh, & Kunnan, 2014). MRM analysis revealed two latent classes. Class 1 was more likely to score highly on reading in-depth (RID) items. Students in this class had significantly higher general English proficiency, better lexico-grammatical knowledge, and reported using reading strategies more frequently, especially planning, monitoring, and integrating strategies. In contrast, Class 2 was more likely to score highly on skimming and scanning (SKSN) items, but had relatively lower mean scores for lexico-grammatical knowledge and general English proficiency; they also reported using strategies less frequently than did Class 1. The implications of these findings and further research are discussed.
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Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A