Understanding Students’ Subjective and Eudaimonic Well-Being: Combining both Machine Learning and Classical Statistics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Life-span and Life-course Studies
Link
https://link.springer.com/content/pdf/10.1007/s11482-023-10232-6.pdf
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2. Ang, R. P., & Huan, V. S. (2006). Relationship between academic stress and suicidal ideation: Testing for depression as a mediator using multiple regression. Child Psychiatry and Human Development, 37(2), 133–143. https://doi.org/10.1007/s10578-006-0023-8
3. Areepattamannil, S. (2014). International note: What factors are associated with reading, mathematics, and science literacy of Indian adolescents? A Multilevel Examination. Journal of Adolescence, 37(4), 367–372. https://doi.org/10.1016/j.adolescence.2014.02.007
4. Awartani, M., Whitman, C. V., & Gordon, J. (2008). Developing instruments to capture young people’s perceptions of how school as a learning environment affects their well-being. European Journal of Education, 43(1), 51–70. https://doi.org/10.1111/j.1465-3435.2007.00337.x
5. Bailey, T. H., & Phillips, L. J. (2016). The influence of motivation and adaptation on students’ subjective well-being, meaning in life and academic performance. Higher Education Research & Development, 35(2), 201–216. https://doi.org/10.1080/07294360.2015.1087474
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