A Structural Equation Model of Academic Performance in Research of Senior High School Academic Track Students

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The study's foremost objective is to generate a good fit model for academic performance in research of senior high school students considering academic performance in English language, academic performance in ICT, and core values as exogenous variables. This study utilized the descriptive correlational design and structural equation modeling. This study's respondents were the 366 graduates of Santo Tomas National High School, senior high school academic track for the school year 2019 - 2020. The data were taken from the advisers of senior high school students. The results revealed that the academic performance of senior high school students for the subjects English language and research, as well as the core values, were high, while the academic performance in ICT was very high. It was also revealed that all the exogenous variables are positively and significantly correlated with the endogenous variable. Besides, all the exogenous variables were found to be significantly influencing the endogenous variable. Moreover, the four models were tested through structural equation modeling, and the generated model four was found to be a good fit model for academic performance in research. The model demonstrates that academic performance in English and its association with core values are significantly predicting the students' outcomes in research.