Subskills and sub-knowledge in Chinese as a second language reading comprehension: a structural equation modeling study

To achieve efficient reading comprehension, Chinese as a second language (L2) learners adopt various component skills and knowledge, including the aspects of vocabulary, grammar, and coherence. However, there is no consensus regarding the relative predictive powers of these three areas in L2 reading comprehension. Instead of employing direct measurement of student reading performance, this study aims to explore this issue by analyzing teacher perception data. Using a Likert-scale questionnaire, 95 experienced teachers rated L2 Chinese learners' reading comprehension, subskills, and sub-knowledge of reading. The results of structural equation modeling reveal that the three areas of subskills and sub-knowledge (i.e., Vocabulary, Grammar, and Coherence) all positively and significantly predicted reading comprehension. Grammar exhibits the strongest predictive power, followed by Coherence, and Vocabulary. This study enhances our understanding of the relative contributions of subskills and sub-knowledge to L2 Chinese reading. Implications for L2 Chinese instruction are provided.