from Part II - Empirical Chapters (Case Studies)
Published online by Cambridge University Press: 14 December 2024
Despite the enduring popularity of path analysis, there has been limited research in the context of English Medium of Instruction (EMI) to illustrate established theories. Moreover, researchers have yet to incorporate statistical data to refine the theoretical models and better elucidate the causal relationships between various factors that potentially influence students’ academic achievement. To fill this gap, this study aims to develop and analyze a well-fitted model that could account for contingent links between variables that directly and indirectly affect EMI students’ academic achievement in science. Drawing on survey data from eight EMI secondary schools in Hong Kong, the current study identified interplayed roles of students’ English proficiency, language use in science classroom, self-perceived English difficulty in the science classroom, and self-concept on science learning on science achievement by using path analysis – one of the structural equation modeling (SEM) models, which is also illustrated in Chapter 5 of the book.
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