Basic psychological needs satisfaction profiles and well-being among Chinese adolescents and Chinese university students: the role of growth mindset
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Psychology
Link
https://link.springer.com/content/pdf/10.1007/s12144-023-05321-6.pdf
Reference50 articles.
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2. Al-Ansi, A. M., Hazaimeh, M., Hendi, A., AL-hrinat, J., & Adwan, G. (2023). How do social media influencers change adolescents’ behavior? An evidence from Middle East Countries. Heliyon, 9(5), e15983. https://doi.org/10.1016/j.heliyon.2023.e15983.
3. Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model [Technical report comment].
4. Berlin, K. S., Williams, N. A., & Parra, G. R. (2014). An introduction to latent variable mixture modeling (part 1): Overview and cross-sectional latent class and latent profile analyses. Journal of Pediatric Psychology, 39(2), 174–187. https://doi.org/10.1093/jpepsy/jst084.
5. Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78(1), 246–263. https://doi.org/10.1111/j.1467-8624.2007.00995.x.
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