Student well-being and mathematical literacy performance in PISA 2018: a machine-learning approach

References

• Arroyo-Resino, D., Constante-Amores, A., & Muñoz, I. A. (2019). La repetición de curso a debate: Un estudio empírico a partir de PISA 2015 [Grade repetition under debate: An empirical study from PISA 2015]. Educación XX1, 22(2), 69–92. https://doi.org/10.5944/educxx1.22479
   Web of Science ®Google Scholar
• Babore, A., Trumello, C., Candelori, C., Paciello, M., & Cerniglia, L. (2016). Depressive symptoms, self-esteem and perceived parent-child relationship in early adolescence. Frontiers in Psychology, 7, 982. https://doi.org/10.3389/fpsyg.2016.00982
   PubMed Web of Science ®Google Scholar
• Boonk, L., Gijselaers, H. J., Ritzen, H., & Brand-Gruwel, S. (2018). A review of the relationship between parental involvement indicators and academic achievement. Educational Research Review, 24, 10–30. https://doi.org/10.1016/j.edurev.2018.02.001
   Web of Science ®Google Scholar
• Borgonovi, F., & Pál, J. (2016). A framework for the analysis of student well-being in the Pisa 2015 study: Being 15 in 2015. OECD Education Working Papers, 1(40), 1–67. https://doi.org/10.1787/5jlpszwghvvb-en
   Google Scholar
• Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. https://doi.org/10.1023/A:1010933404324
   Web of Science ®Google Scholar
• Brown, S. (1994). School effectiveness research and the evaluation of schools. Evaluation & Research in Education, 8(1–2), 55–68. https://doi.org/10.1080/09500799409533354
   Google Scholar
• Bücker, S., Nuraydin, S., Simonsmeier, B. A., Schneider, M., & Luhmann, M. (2018). Subjective well-being and academic achievement: A meta-analysis. Journal of Research in Personality, 74, 83–94. https://doi.org/10.1016/j.jrp.2018.02.007
   Web of Science ®Google Scholar
• Buzzai, C., Sorrenti, L., Orecchio, S., Marino, D., & Filippello, P. (2020). The relationship between contextual and dispositional variables, well-being and hopelessness in school context. Frontiers in Psychology, 11, 533815. https://doi.org/10.3389/fpsyg.2020.533815
   PubMed Web of Science ®Google Scholar
• Cameron, A. C., & Windmeijer, A. F. (1997). An R-squared measure of goodness of fit for some Common nonlinear regression models. Journal of Econometrics, 77(2), 329–342. https://doi.org/10.1016/S0304-4076(96)01818-0
   Web of Science ®Google Scholar
• Clarke, T. (2020). Children’s wellbeing and their academic achievement: The dangerous discourse of ‘trade-offs’ in education. Theory and Research in Education, 18(3), 263–294. https://doi.org/10.1177/1477878520980197
   Web of Science ®Google Scholar
• Cobo-Rendón, C., Pérez, M. V., Romero, H. H., & Parra, J. A. (2017). Modelos multidimensionales del bienestar en contextos de enseñanza-aprendizaje: Una revisión sistemática [Multidimensional models of wellbeing in teaching-learning contexts: A systematic review]. Ecos de la Academia, 3(06), 13–28.
   Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Constate-Amores, A., Florenciano Martínez, E., Navarro Asencio, E., & Fernández-Mellizo, M. (2020). Factores asociados al abandono universitario [Factors associated with university dropout]. Educación XX1, 24(1), 17–44. https://doi.org/10.5944/educxx1.26889
   Web of Science ®Google Scholar
• Cordero-Ferrera, J. M., Crespo-Cebada, E., & Pedraja-Chaparro, F. (2013). Rendimiento educativo y determinantes según PISA: Una revisión de la literatura en España [Educational performance and determinants according to PISA: A review of the literature in Spain]. Revista de Educacion, 36(2), 273–297. https://doi.org/10.4438/1988-592X-RE-2011-362-161
   Google Scholar
• Ferguson, C. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532–538. https://doi.org/10.1037/a0015808
   Web of Science ®Google Scholar
• Fiorilli, C., Grimaldi-Capitello, T., Barni, D., Buonomo, I., & Gentile, S. (2019). Predicting adolescent depression: the interrelated roles of self-esteem and interpersonal stressors. Frontiers in Psychology, 10, 565. https://doi.org/10.3389/fpsyg.2019.00565
   PubMed Web of Science ®Google Scholar
• Fleer, M., & Rillero, P. (1999). Family involvement in science education: What are the outcomes for parents and students? Studies in Science Education, 34(1), 93–114. https://doi.org/10.1080/03057269908560150
   Google Scholar
• Gaviria, J., & Castro, M. (2005). Modelos Jerárquicos Lineales [Linear hierarchical models]. Murralla.
   Google Scholar
• Gil-Madrona, P., Martínez-López, M., & Sáez-Sánchez, M. B. (2019). Objective and subjective factors associated with Spanish students’ performance in science in PISA 2015. Cultura y Educación, 31(4), 671–715. https://doi.org/10.1080/11356405.2019.1656485
   Web of Science ®Google Scholar
• Gómez-Fernández, N., & Albert, J. (2020). Physical activity in and out-of-school and academic performance in Spain. Health Education Journal, 79(7), 788–801. https://doi.org/10.1177/0017896920929743
   Web of Science ®Google Scholar
• Govorova, E., Benítez, I., & Muñiz, J. (2020). How schools affect student well-being: A cross-cultural approach in 35 oecd countries. Frontiers in Psychology, 11, 431. https://doi.org/10.3389/fpsyg.2020.00431
   PubMed Web of Science ®Google Scholar
• Gutiérrez, M., Tomás, J. M., & Pastor, A. M, Universidad de Valencia, España. (2021). Apoyo social de familia, profesorado y amigos, ajuste escolar y bienestar subjetivo en adolescentes peruanos [Social support from family, teachers and friends, school adjustment and subjective well-being in Peruvian adolescents]. Suma Psicológica, 28(1), 17–24. https://doi.org/10.14349/sumapsi.2021.v28.n1.3
   Google Scholar
• Iglesias-Díaz, P., & Romero-Pérez, C. (2021). Aulas afectivas e inclusivas y bienestar adolescente: una revisión sistemática [Caring and inclusive classrooms and adolescent well-being: A systematic review]. Educación XX1, 24(2), 305–350. https://doi.org/10.5944/educxx1.28705
   Google Scholar
• Izquierdo, M. J. (2018). ¿Puede un informe PISA contribuir a una mejor cultura de seguridad y defensa en España? Marco de Competencia Global PISA 2018. [Can a PISA report contribute to a better security and defence culture in Spain? PISA Global Competence Framework 2018]. Boletín IEEE, 11, 29–43.
   Google Scholar
• Jorge, E., & González, M. C. (2017). Estilos de crianza parental: Una revisión teórica [Parental parenting styles: A theoretical review]. Informes Psicológicos, 17(2), 39–66. https://doi.org/10.18566/infpsic.v17n2a02
   Google Scholar
• Jungert, T., Levine, S., & Koestner, R. (2020). Examining how parent and teacher enthusiasm influences motivation and achievement in STEM. The Journal of Educational Research, 113(4), 275–282. https://doi.org/10.1080/00220671.2020.1806015
   Web of Science ®Google Scholar
• Kaya, M., & Erdem, C. (2021). Students’ well-being and academic achievement: A meta-analysis study. Child Indicators Research, 14(5), 1743–1767. https://doi.org/10.1007/s12187-021-09821-4
   Web of Science ®Google Scholar
• Kleinkorres, R., Stang, J., & McElvany, N. (2020). A longitudinal analysis of reciprocal relations between students’ well-being and academic achievement. Journal for Educational Research Online, 12(2), 114–165.
   Web of Science ®Google Scholar
• Lantz, B. (2013). Machine learning with R. Packt.
   Google Scholar
• Laukaityte, I., & Wiberg, M. (2017). Using plausible values in secondary analysis in large-scale assessments. Communications in Statistics - Theory and Methods, 46(22), 11341–11357. https://doi.org/10.1080/03610926.2016.1267764
   Web of Science ®Google Scholar
• Lee, V. (2000). Using hierarchical linear modeling to study social contexts: The case of school effects. Educational Psychologist, 35(2), 125–141. https://doi.org/10.1207/S15326985EP3502_6
   Web of Science ®Google Scholar
• López, V., Torres-Vallejos, J., Ascorra, P., González, L., Ortiz, S., & Bilbao, M. (2021). Contributions of individual, family, and school characteristics to Chilean students’ social well-being at school. Frontiers in Psychology, 12, 620895. https://doi.org/10.3389/fpsyg.2021.620895
   PubMed Web of Science ®Google Scholar
• López-Martín, E., Expósito-Casas, E., Molina, E. C., & Muñoz, I. A. (2018). ¿Qué nos dice PISA sobre la enseñanza y el aprendizaje de las Ciencias? Una aproximación a través de árboles de decisión [What does PISA tell us about science teaching and learning? A decision tree approach]. Revista de Educación, 38(2), 13–16. https://doi.org/10.4438/1988-592X-RE-
   Google Scholar
• Ministry of Education and Vocational Training. (2019). PISA 2018. Programa para la evaluación internacional de los estudiantes [PISA 2018. Programme for International Student Assessment]. Informe español. Secretaría General Técnica.
   Google Scholar
• Molina-Muñoz, D., Contreras-García, J. M., & Molina-Portillo, E. (2023). Does the psychoemotional well-being of Spanish students influence their mathematical literacy? An evidence from PISA 2018. Frontiers in Psychology, 14, 1196529. https://doi.org/10.3389/fpsyg.2023.1196529
   PubMed Web of Science ®Google Scholar
• Moral-García, J. E., Urchaga-Litago, J. D., Ramos-Morcillo, A. J., & Maneiro, R. (2020). Relationship of parental support on healthy habits, school motivations and academic performance in adolescents. International Journal of Environmental Research and Public Health, 17(3), 882. https://doi.org/10.3390/ijerph17030882
   PubMed Web of Science ®Google Scholar
• Murillo, F. J., & Hernández, R. (2020). ¿La implicación de las familias influye en el rendimiento? Un estudio en educación primaria en América Latina [Does family involvement influence achievement? A study in primary education in Latin America]. Revista de Psicodidáctica, 25(1), 13–22. https://doi.org/10.1016/j.psicod.2019.10.002
   Google Scholar
• OECD. (2009). PISA 2006 technical report. OECD Publishing. https://www.oecd.org/pisa/data/42025182
   Google Scholar
• OECD. (2017). PISA 2015 results (volume III): Students’ well-being. OECD Publishing. https://doi.org/10.1787/9789264273856-en
   Google Scholar
• OECD. (2019). PISA 2018 assessment and analytical framework. OECD Publishing. https://doi.org/10.1787/b25efab8-en
   Google Scholar
• Pardo, M., & Ruiz, M. (2013). Análisis de Datos en Ciencias Sociales y de la Salud III [Data analysis in social and health sciences III]. Síntesis.
   Google Scholar
• Park, S., Stone, S. I., & Holloway, S. D. (2017). School-based parental involvement as a predictor of achievement and school learning environment: An elementary school-level analysis. Children and Youth Services Review, 82(2), 195–206. https://doi.org/10.1016/j.childyouth.2017.09.012
   Google Scholar
• Raschka, S., & Mirjalili, V. (2019). Python machine learning: Machine learning and deep learning with Python. Packt.
   Google Scholar
• Raudenbush, S. W., & Willms, J. (1995). The estimation of school effects. Journal of Educational and Behavioral Statistics, 20(4), 307–335. https://doi.org/10.3102/10769986020004307
   Web of Science ®Google Scholar
• Rivero, G. (2011). Análisis de datos incompletos en ciencias sociales [Incomplete data analysis in social sciences]. CIS.
   Google Scholar
• Rodríguez, A. D., Rivas, J., & Adasme, G. P. (2020). Tiempo de compromiso motor en la clase de educación física [Motor engagement time in the physical education class]. Voces de la Educación, 5(10), 90–113. https://doi.org/10.25053/redufor.v5i14mai/ago.2895
   Google Scholar
• Sánchez, E. M., Miguélañez, S. O., & Abad, F. M. (2019). Explanatory factors as predictors of academic achievement in PISA tests. An analysis of the moderating effect of gender. International Journal of Educational Research, 96, 111–119. https://doi.org/10.1016/j.ijer.2019.06.002
   Web of Science ®Google Scholar
• Sheridan, S. M., Smith, T. E., Moorman Kim, E., Beretvas, S. N., & Park, S. (2019). A meta-analysis of family-school interventions and children’s social-emotional functioning: Moderators and components of efficacy. Review of Educational Research, 89(2), 296–332. https://doi.org/10.3102/0034654318825437
   Web of Science ®Google Scholar
• Shirley, D., Hargreaves, A., & Washington-Wangia, S. (2020). The sustainability and unsustainability of teachers’ and leaders’ well-being. Teaching and Teacher Education, 92, 102987. https://doi.org/10.1016/j.tate.2019.102987
   Web of Science ®Google Scholar
• Sjøberg, S., & Jenkins, E. (2022). PISA: A political project and a research agenda. Studies in Science Education, 58(1), 1–14. https://doi.org/10.1080/03057267.2020.1824473
   Web of Science ®Google Scholar
• Smith, T. E., Sheridan, S. M., Kim, E. M., Park, S., & Beretvas, S. N. (2020). The effects of family-school partnership interventions on academic and social-emotional functioning: A meta-analysis exploring what works for whom. Educational Psychology Review, 32(2), 511–544. https://doi.org/10.1007/s10648-019-09509-w
   Web of Science ®Google Scholar
• Tan, C. Y., Lyu, M., & Peng, B. (2020). Academic benefits from parental involvement are stratified by parental socioeconomic status: A meta-analysis. Parenting, 20(4), 241–287. https://doi.org/10.1080/15295192.2019.1694836
   Web of Science ®Google Scholar
• Tomé, G., Almeida, A., Ramiro, L., & Gaspar, T. (2021). Intervention in Schools promoting mental health and well-being: A systematic review. Global Journal of Community Psychology Practice, 12(1), 1–23.
   Google Scholar
• Trigueros, R., Aguilar-Parra, J. M., Cangas, A. J., Bermejo, R., Ferrandiz, C., & López-Liria, R. (2019). Influence of emotional intelligence, motivation and resilience on academic performance and the adoption of healthy lifestyle habits among adolescents. International Journal of Environmental Research and Public Health, 16(16), 2810. https://doi.org/10.3390/ijerph16162810
   PubMed Web of Science ®Google Scholar
• Urrila, A. S., Artiges, E., Massicotte, J., Miranda, R., Vulser, H., Bézivin-Frere, P., Lapidaire, W., Lemaître, H., Penttilä, J., Conrod, P. J., Garavan, H., Paillère Martinot, M.-L., & Martinot, J.-L, the IMAGEN consortiumet. (2017). Sleep habits, academic performance, and the adolescent brain structure. Scientific Reports, 7(1), 41678. https://doi.org/10.1038/srep41678
   PubMedGoogle Scholar
• Wang, X. S., Perry, L. B., Malpique, A., & Ide, T. (2023). Factors predicting mathematics achievement in PISA: a systematic review. Large-Scale Assessments in Education, 11(1), 24. https://doi.org/10.1186/s40536-023-00174-8
   Web of Science ®Google Scholar
• Wang, Y., Huebner, E. S., & Tian, L. (2021). Parent-child cohesion, self-esteem, and academic achievement: The longitudinal relations among elementary school students. Learning and Instruction, 73, 101467. https://doi.org/10.1016/j.learninstruc.2021.101467
   Web of Science ®Google Scholar
• Widlund, A., Tuominen, H., & Korhonen, J. (2018). Academic well-being, mathematics performance, and educational aspirations in lower secondary education: Changes within a school year. Frontiers in Psychology, 9, 297. https://doi.org/10.3389/fpsyg.2018.00297
   PubMed Web of Science ®Google Scholar
• Wu, X., Gai, X., & Wang, W. (2020). Subjective well-being and academic performance among middle schoolers: A two-wave longitudinal study. Journal of Adolescence, 84(1), 11–22. https://doi.org/10.1016/j.adolescence.2020.07.011
   PubMedGoogle Scholar
• Yang, Q., Tian, L., Huebner, E. S., & Zhu, X. (2019). Relations among academic achievement, self-esteem, and subjective well-being in school among elementary school students: A longitudinal mediation model. School Psychology (Washington, D.C.), 34(3), 328–340. https://doi.org/10.1037/spq0000292
   PubMedGoogle Scholar
• Zhou, J., He, J., & Lafontaine, D. (2020). Cross-cultural comparability and validity of metacognitive knowledge in reading in PISA 2009: a comparison of two scoring methods. Assessment in Education: Principles, Policy & Practice, 27(6), 635–654. https://doi.org/10.1080/0969594X.2020.1828820
   Google Scholar