Predicting positive youth development among Chinese adolescents: A machine learning approach using multiwave longitudinal data

Zelin Liu, Zékai Lu, Yaqiong Wang, Danhua Lin

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DOI: 10.1111/aphw.70211
Published: 2026-09-04
Container: Applied Psychology: Health and Well-Being
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/aphw.70211,
  title = {Predicting positive youth development among Chinese adolescents: A machine learning approach using multiwave longitudinal data},
  author = {Zelin Liu and Zékai Lu and Yaqiong Wang and Danhua Lin},
  year = {2026},
  journal = {Applied Psychology: Health and Well-Being},
  doi = {10.1111/aphw.70211},
  url = {https://doi.org/10.1111/aphw.70211}
}

RIS

TY  - JOUR
TI  - Predicting positive youth development among Chinese adolescents: A machine learning approach using multiwave longitudinal data
AU  - Zelin Liu
AU  - Zékai Lu
AU  - Yaqiong Wang
AU  - Danhua Lin
PY  - 2026
JO  - Applied Psychology: Health and Well-Being
DO  - 10.1111/aphw.70211
UR  - https://doi.org/10.1111/aphw.70211
ER  -

APA

Liu, Z., Lu, Z., Wang, Y., & Lin, D. (2026). Predicting positive youth development among Chinese adolescents: A machine learning approach using multiwave longitudinal data. Applied Psychology: Health and Well-Being. https://doi.org/10.1111/aphw.70211

Source records

crossref · retrieved 2026-09-24T18:32:45.661Z