Fitting the mixed Rasch model to a reading comprehension test: Exploring individual difference profiles in L2 reading

Language Testing - Tập 33 Số 4 - Trang 529-553 - 2016
Vahid Aryadoust1, Limei Zhang2
1National University of Singapore, Singapore
2Nanyang Technological University, Singapore

Tóm tắt

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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