Indentifying latent classes and testing their determinants in early adolescents' use of computers and Internet for learning

@article{Heo2013IndentifyingLC,
  title={Indentifying latent classes and testing their determinants in early adolescents' use of computers and Internet for learning},
  author={Gyun Heo},
  journal={Comput. Educ.},
  year={2013},
  volume={63},
  pages={318-326}
}
  • Gyun Heo
  • Published 2013
  • Psychology, Computer Science
  • Comput. Educ.
  • The purpose of the present study was to identify latent classes resting on early adolescents' change trajectory patterns in using computers and the Internet for learning and to test the effects of gender, self-control, self-esteem, and game use in South Korea. Latent growth mixture modeling (LGMM) was used to identify subpopulations in the Korea Youth Panel Survey (KYPS). Initial analyses revealed four latent classes: High Use Class, Increasing Class, Decreasing Class, and Low Use Class. Adding… CONTINUE READING
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