The Determinants of Indonesian Students’ Science Performance: An Analysis through PISA Data 2018

Abstract

This study investigates the determinants of Indonesian students’ performance of science proxied by the PISA score
of science provided by OECD PISA. The recent PISA data 2018 is used to answer the objective of the research. A multivariate
linear regression is used; as the dependent variable is the PISA score of science, while the information concerning student’s
background is used as independent variables, i.e., (i) student’s personal characteristics: age and gender; (ii) family
background: index of economic, social, and cultural status (ESCS), family wealth, ICT possession at home; and (iii)
classroom’s climate: learning time in mathematics, science, and reading, perceived feedback from teacher, and discriminating
school climate. Result shows that Indonesian students’ science performance is driven by age, learning time in mathematics,
science, and reading, ESCS, family wealth, ICT possessions at home, perceived feedback from teacher, and discriminating
school climate. Several tests to examine the classical assumptions, such as normality of the residuals, test for
heteroscedasticity and collinearity, are performed. According to these tests, no severe