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...
| Published in: | Journal of Youth & Adolescence Vol. 54; no. 5; pp. 1109 - 1128 |
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| Main Authors: | , , , |
| Format: | Article |
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Springer Nature
May2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=184706593&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 184706593 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00472891 JYA jtl: Journal of Youth & Adolescence issn: 00472891 maglogo: N pubinfo: dt: May2025 vid: 54 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 184706593 10.1007/s10964-024-02120-5 ppf: 1109 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.6MB tig: atl: Exploring Shared and Unique Predictors of Positive and Negative Risk-Taking Behaviors Among Chinese Adolescents Through Machine-Learning Approaches: Discovering Gender and Age Variations. aug: au: Liu, Ying Zou, Qifan Xie, Ying Dou, Kai affil: https://ror.org/05ar8rn06 Department of Sociology, School of Public Administration, Guangzhou University, Guangzhou, China https://ror.org/05ar8rn06 Research Center of Adolescent Psychology and Behavior, School of Education, Guangzhou University, Guangzhou, China su: China Victims Risk-taking behavior Sex distribution Self-control Parenting Father-child relationship Metropolitan areas Middle schools Research funding Descriptive statistics Machine learning sug: subj: Victims Risk-taking behavior Sex distribution Self-control Parenting Father-child relationship Metropolitan areas Middle schools China Elementary and Secondary Schools Research funding Descriptive statistics Machine learning keyword: Adolescence Negative risk-taking Positive risk-taking Psychology and Cognitive Sciences Psychology Risk-taking Adolescence Negative risk-taking Positive risk-taking Psychology and Cognitive Sciences Psychology Risk-taking ab: 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 to identify shared and unique predictors across individual, family, and peer domains. Participants (N = 1012; 44% girls; Mage = 14.60 years, SD = 1.16 years) were drawn from three public middle schools in a large city in southern China (with 49.2% in grade 7 and 50.8% in grade 11). The findings indicate that positive risk-taking is significantly associated with general risk propensity, self-control, and negative parenting by father, while negative risk-taking is correlated with self-control, deviant peer affiliations, and peer victimization. Paternal negative parenting triggered positive risk-taking in boys, whereas self-control had a greater impact on girls. For negative risk-taking, boys were more affected by peer victimization, while girls were more influenced by deviant peer affiliations. This study further demonstrates that as progress from junior to senior high school, peer influence grows more significant in predicting positive risk taking; deviant peer affiliations exert a persistent pivotal influence, future positive time perspective replaces life satisfaction, and paternal negative parenting becomes increasingly impactful in predicting negative risk taking. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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