Proceedings of the First Jakarta International Conference on Multidisciplinary Studies Towards Creative Industries, JICOMS 2022, 16 November 2022, Jakarta, Indonesia

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.16-11-2022.2326139,
        author={M. Mujiya Ulkhaq},
        title={The Determinants of Indonesian Students’ Mathematics Performance: An Analysis through PISA Data 2018 Wave},
        proceedings={Proceedings of the First Jakarta International Conference on Multidisciplinary Studies Towards Creative Industries, JICOMS 2022, 16 November 2022, Jakarta, Indonesia},
        publisher={EAI},
        proceedings_a={JICOMS},
        year={2022},
        month={12},
        keywords={indonesia students; mathematics; multivariate regression; pisa},
        doi={10.4108/eai.16-11-2022.2326139}
    }
    
  • M. Mujiya Ulkhaq
    Year: 2022
    The Determinants of Indonesian Students’ Mathematics Performance: An Analysis through PISA Data 2018 Wave
    JICOMS
    EAI
    DOI: 10.4108/eai.16-11-2022.2326139
M. Mujiya Ulkhaq1,*
  • 1: Department of Economics and Management, University of Brescia, Italy
*Contact email: m.ulkhaq@unibs.it

Abstract

This study investigates the determinants of Indonesian students’ performance of mathematics proxied by plausible value (PV) of mathematics provided by OECD PISA. The recent PISA data of 2018 wave is used to accomplish the research objective. A multivariate linear regression is used; as the response variable is PV of mathematics, while information concerning student’s background is used as independent variables, i.e., student’s personal characteristics: age, gender, learning time in mathematics, science, and reading; family background: index of economic, social, and cultural status, family wealth, ICT possession at home; and classroom’s climate: perceived feedback from teacher, and discriminating school climate. Result shows that all determinants (independent variables) but student’s age are significant at the level of 5%. We also perform several tests to examine the classical assumptions, such as normality of the residuals, test for heteroscedasticity and collinearity. According to these tests, no severe problems occur.