Abstract
The current study explored the role of sentential inference in connecting lexical/grammatical knowledge and overall text comprehension in foreign language learning. Using structural equation modeling (SEM), causal relationships were examined between four latent variables: lexical knowledge, grammatical knowledge, sentential inference, and text comprehension. The study analyzed 281 Chinese university students learning Japanese as a second language and compared two causal models: (1) the partially-mediated model, which suggests that lexical knowledge, grammatical knowledge, and sentential inference concurrently influence text comprehension, and (2) the wholly-mediated model, which posits that both lexical and grammatical knowledge impact sentential inference, which then further affects text comprehension. The SEM comparison analysis supported the wholly-mediated model, showing sequential causal relationships from lexical knowledge to sentential inference and then to text comprehension, without significant contribution from grammatical knowledge. The results indicate that sentential inference serves as a crucial bridge between lexical knowledge and text comprehension.
Funder
Japan Society for the Promotion of Science London
Publisher
Public Library of Science (PLoS)
Reference61 articles.
1. Effects of long-term vocabulary instruction on lexical access and reading comprehension;I. L. Beck;Journal of Educational Psychology,1982
2. Toward a theory of automatic information processing in reading;D. LaBerge;Cognitive Psychology,1974
3. Zidôki no kodomo no yomi nôryoku no kitei yôin nituite—Konponensyaru apurôti-ni yoru bunsekiteki enkyû [Reading ability of elementary school children: A componential approach].;N. Takahashi;Sinrigaku Kenkyû [Japanese Journal of Psychology],1996
4. Effects of vocal interference on identifying kanji, hiragana and katakana words by skilled and less skilled Japanese readers in Grades 4–6.;K. Tamaoka;Psychologia,1992
5. Assessing Reading
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