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Xiaojin Hu

Dados Biográficos

ID6366407
NOMEXiaojin Hu
PRENOMESXiaojin
SOBRENOMEHu
ASSINATURAHU X
AFILIAÇÕESHunan Normal University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H1
  • A Latent Transition Analysis of Internet Addiction in Early Adolescents and Its Contributing Factors

    Open Access•Xiaojin Hu, Yuling Chen et al.•ARTICLE•The Journal of Early Adolescence•2022•Citada por: 1•Referências: 2

    The purpose of the present study was to identify the patterns of Internet addiction in early adolescents and their associated protective factors in order to prevent and/or ameliorate internet addiction as early as possible. A 2-year longitudinal study was conducted among 621 Chinese early adolescents. Latent class and latent transition analyses were used to identify classes of the development of internet addiction. Three latent classes were ident…

  • A Latent Transition Analysis of Internet Addiction in Early Adolescents and Its Contributing Factors

    Open Access•Xiaojin Hu, Yuling Chen et al.•ARTICLE•The Journal of Early Adolescence•2022•Citada por: 1•Referências: 2

    The purpose of the present study was to identify the patterns of Internet addiction in early adolescents and their associated protective factors in order to prevent and/or ameliorate internet addiction as early as possible. A 2-year longitudinal study was conducted among 621 Chinese early adolescents. Latent class and latent transition analyses were used to identify classes of the development of internet addiction. Three latent classes were ident…

  • A Latent Transition Analysis of Internet Addiction in Early Adolescents and Its Contributing Factors

    Open Access•Xiaojin Hu, Yuling Chen et al.•ARTICLE•The Journal of Early Adolescence•2022•Citada por: 1•Referências: 2

    The purpose of the present study was to identify the patterns of Internet addiction in early adolescents and their associated protective factors in order to prevent and/or ameliorate internet addiction as early as possible. A 2-year longitudinal study was conducted among 621 Chinese early adolescents. Latent class and latent transition analyses were used to identify classes of the development of internet addiction. Three latent classes were ident…

Addiction (1 obras) · Child Development and Digital Technology (1 obras) · Clinical Psychology (1 obras) · Clinical Psychology (1 obras) · Computer Science (1 obras) · Impact of Technology on Adolescents (1 obras) · Impulsivity (1 obras) · Latent class model (1 obras) · Multinomial logistic regression (1 obras) · Psychiatry (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae