Cross-economy stability of predictor rankings for adolescent school belonging and mathematics anxiety: an explainable machine-learning analysis of PISA 2022

Yuan Liao, Qin Peng, Runlin Li

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DOI: 10.3389/fpsyg.2026.1875261
Published: 2026-09-03
Container: Frontiers in Psychology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1875261,
  title = {Cross-economy stability of predictor rankings for adolescent school belonging and mathematics anxiety: an explainable machine-learning analysis of PISA 2022},
  author = {Yuan Liao and Qin Peng and Runlin Li},
  year = {2026},
  journal = {Frontiers in Psychology},
  doi = {10.3389/fpsyg.2026.1875261},
  url = {https://doi.org/10.3389/fpsyg.2026.1875261}
}

RIS

TY  - JOUR
TI  - Cross-economy stability of predictor rankings for adolescent school belonging and mathematics anxiety: an explainable machine-learning analysis of PISA 2022
AU  - Yuan Liao
AU  - Qin Peng
AU  - Runlin Li
PY  - 2026
JO  - Frontiers in Psychology
DO  - 10.3389/fpsyg.2026.1875261
UR  - https://doi.org/10.3389/fpsyg.2026.1875261
ER  -

APA

Liao, Y., Peng, Q., & Li, R. (2026). Cross-economy stability of predictor rankings for adolescent school belonging and mathematics anxiety: an explainable machine-learning analysis of PISA 2022. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1875261

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crossref · retrieved 2026-09-25T09:08:16.488Z