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Xiaojin Hu

Datos Biográficos

ID6366407
NOMBREXiaojin Hu
NOMBRESXiaojin
APELLIDOHu
FIRMAHU X
AFILIACIONESHunan Normal University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS1
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
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•Referencias: 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•Referencias: 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•Referencias: 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)

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