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Hope, career competency, and social well-being among non-engaged youth in Hong Kong: a longitudinal network analysis

Although it has been widely acknowledged that hope, career competency, and outcomes of social well-being (i.e., social integration, social contribution, and civic engagement) are key components of youth’s career and life development (CLD), those interrelationships, their predictive relationships, an...

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Bibliographic Details
Published in:Current psychology (New Brunswick, N.J.) N.J.), 2024-03, Vol.43 (10), p.8947-8962
Main Authors: Ngai, Steven Sek-yum, Cheung, Chau-Kiu, Zhou, Qiushi, Zhang, Jihong, Ng, Yuen-hang, Yu, Elly Nga-hin, Zhang, Xuyang, Wong, Laing-ming
Format: Article
Language:English
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Summary:Although it has been widely acknowledged that hope, career competency, and outcomes of social well-being (i.e., social integration, social contribution, and civic engagement) are key components of youth’s career and life development (CLD), those interrelationships, their predictive relationships, and the relative importance of the variables in the relationships remain poorly understood. To fill that gap, we conducted two network analyses on three waves of data collected in the CLAP@JC Community Intervention Project. A total of 4,220 non-engaged youth (NEY) from Hong Kong participated in the project, all of whom were 13–29 years old ( M  = 18.66, SD  = 3.20) and 53.3% of whom were boys and young men. The first network analysis, conducted on the data at baseline, revealed a moderate correlation between career competency and hope and a strong correlation between civic engagement and social contribution. The second network analysis, conducted on the aggregated three-wave data, showed that career competency could predict all other variables and that only hope could positively impact career competency over time. We also observed that social contribution can positively influence hope. Overall, our findings highlight the central role of career competency in networks while also revealing the different roles of the examined variables within the networks. Our new findings on the functions of and the relationships among those variables provide insights for further theorizing CLD, while the information obtained can also help practitioners to develop effective intervention strategies for promoting CLD among NEY.
ISSN:1046-1310
1936-4733
DOI:10.1007/s12144-023-05055-5