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...

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Bibliographic Details

Published in:	Journal of Youth & Adolescence Vol. 54; no. 5; pp. 1109 - 1128
Main Authors:	Liu, Ying, Zou, Qifan, Xie, Ying, Dou, Kai
Format:	Article
Published:	Springer Nature May2025
Subjects:	China Victims Risk-taking behavior Sex distribution Self-control Parenting Father-child relationship Metropolitan areas Middle schools Research funding Descriptive statistics Machine learning
Online Access:	View this record in EBSCOhost