Exploring Shared and Unique Predictors of Positive and Negative Risk-Taking Behaviors Among Chinese Adolescents Through Machine-Learning Approaches: Discovering Gender and Age Variations.

Despite extensive research on the impact of individual and environmental factors on negative risk-taking behaviors, the understanding of these factors' influence on positive risk-taking, and how it compares to negative risk taking, remains limited. This research employed machine-learning techniques...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Youth & Adolescence Vol. 54; no. 5; pp. 1109 - 1128
Autores principales:	Liu, Ying, Zou, Qifan, Xie, Ying, Dou, Kai
Formato:	Artículo
Publicado:	Springer Nature May2025
Materias:	China Victims Risk-taking behavior Sex distribution Self-control Parenting Father-child relationship Metropolitan areas Middle schools Research funding Descriptive statistics Machine learning
Acceso en línea:	Ver este registro en EBSCOhost