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Identifying multilevel factors on student mathematics performance for Singapore, Korea, Finland, and Denmark in PISA 2022: considering individualistic versus collectivistic cultures

Author

Listed:
  • Jinpeng Niu

    (Southwest University)

  • Hui Xu

    (Southwest University)

  • Jiangtao Yu

    (Dalian University of Technology)

Abstract

Employing a two-level hierarchical linear modelling (HLM) analysis, the current study comparatively explored the effects of student- and school-level factors on student mathematics performance for Singapore, Korea, Finland, and Denmark in the 2022 Programme for International Student Assessment (PISA). The results showed that (a) economic, social and cultural status (ESCS), school average ESCS, mathematics self-efficacy, and mathematics anxiety are significantly associated with mathematics performance for Singapore, Korea, Finland, and Denmark; (b) mathematics teacher support has a significantly positive effect on mathematics performance for Finland and Denmark, while ability grouping for mathematics classes and student disruptive behaviours have a significantly negative impact on mathematics performance for Singapore and Korea; (c) the relationship between time in mathematics homework and mathematics performance is positive in Singapore and Korea but negative in Finland and Denmark; as well, (d) curiosity is positively related to mathematics performance for Korea, Finland, and Denmark, while the influence of mathematics motivation on mathematics performance is only significant for Finland and the influence of mathematics extra-curricular activities on mathematics performance is merely significant for Korea. In essence, the different effects may be associated with intrinsic discrepancies regarding educationally tight versus loose systems, as well as comparatively, regarding philosophically social versus individual orientations, which represent Eastern and Western cultures, respectively. The findings were discussed from a cross-cultural perspective in terms of individualism-collectivism.

Suggested Citation

  • Jinpeng Niu & Hui Xu & Jiangtao Yu, 2025. "Identifying multilevel factors on student mathematics performance for Singapore, Korea, Finland, and Denmark in PISA 2022: considering individualistic versus collectivistic cultures," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04466-y
    DOI: 10.1057/s41599-025-04466-y
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    1. Christoph Spörlein & Elmar Schlueter, 2018. "How education systems shape cross-national ethnic inequality in math competence scores: Moving beyond mean differences," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-21, March.
    2. Beatrice Rangvid, 2007. "School composition effects in Denmark: quantile regression evidence from PISA 2000," Empirical Economics, Springer, vol. 33(2), pages 359-388, September.
    3. Rongrong Yu & Kusum Singh, 2018. "Teacher support, instructional practices, student motivation, and mathematics achievement in high school," The Journal of Educational Research, Taylor & Francis Journals, vol. 111(1), pages 81-94, January.
    4. Thomas Warm, 1989. "Weighted likelihood estimation of ability in item response theory," Psychometrika, Springer;The Psychometric Society, vol. 54(3), pages 427-450, September.
    5. Robert Wakhata & Védaste Mutarutinya & Sudi Balimuttajjo, 2022. "Secondary school students’ attitude towards mathematics word problems," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
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