論文 ·用例に日本語 ·未確認

Sentential inference bridging between lexical/grammatical knowledge and text comprehension among native Chinese speakers learning Japanese

Katsuo Tamaoka Hiromu Sakai Yayoi Miyaoka Hajime Ono Michiko Fukuda Yuxin Wu Rinus G. Verdonschot

刊行年
2023-04-13
収録
『PLoS ONE』 18(4) pp. e0284331-e0284331
出版
Public Library of Science
言語
英語
openalex
W4365443579
doi
10.1371/journal.pone.0284331
pmid
37053200
issn
1932-6203
URL
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284331&type=printable

要旨

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.

主題

この書誌の出所

  • openalex— W4365443579(2026-08-13取得)

引用キー: Tamaoka2023SententialInferenceBridging

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