Extending the Simple View of Reading in Second and Foreign Language Learning: A Meta-Analytic Structural Equation Modeling Approach

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12

초록

This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR models, that is, Quinn and Wagner’s (2018) model with an English-speaking population with a cognitive factor and Peng et al.’s (2021) model with Chinese-speaking readers with metalinguistic skills. A total of 180 independent samples (N = 36,235) obtained from 152 empirical studies in SFL contexts were included in our meta-analytic structural equation model. The results revealed that the collected data successfully replicated H. Lee et al.’s (2022) SVR model in SL contexts (SV2R) in terms of overall model fit and moderation effects; in addition, the results confirmed that the data fit well with the extended SVR-SFL models. © 2023 AERA.

키워드

decoding; language comprehension; meta-analytic structural equation modeling (MASEM); second language reading comprehension; simple view of reading (SVR); INFERENTIAL MEDIATION MODEL; PHONOLOGICAL AWARENESS; WORD RECOGNITION; WORKING-MEMORY; TOPIC FAMILIARITY; COMPREHENSION; L2; SKILLS; L1; 2ND-LANGUAGE
제목
Extending the Simple View of Reading in Second and Foreign Language Learning: A Meta-Analytic Structural Equation Modeling Approach
저자
Lee, Hansol; Lee, Jang Ho
DOI
10.3102/00346543231186605
발행일
2024-08
유형
Article; Early Access
저널명
Review of Educational Research
권
94
호
4
페이지
467 ~ 500