Internet addiction behavior was examined in 6,121 Chinese primary and secondary school students in Hong Kong based on the assessment frameworks of Ivan Goldberg and Kimberly Young. Results showed that scales derived from both frameworks (CIA-Goldberg Scale and CIA-Young Scale) were internally consistent and evidence supporting their validity was found. Descriptive statistical analyses revealed that roughly one-fifth of the respondents could be classified as Internet addicted based on either scale. Further analyses showed that Internet-addicted and -nonaddicted respondents differed in their Internet use and related behavior. Logistic regression analyses showed that engagement in certain on-line activities (such as playing on-line games and downloading software) and replacement of pastimes activities (such as watching TV and going out with friends) with Internet activities predicted a higher probability of Internet addiction.
Bibliographical noteThe Youngster Internet Addiction Prevention and Counseling Service undertaken by the Jockey Club Wah Ming Lutheran Integrated Service Centre, Hong Kong Lutheran Social Service, LC-HKS was funded by the Community Chest of Hong Kong. Preparation for this paper was financially supported by the Wofoo Foundation Limited.
- Internet addiction measurements
- Chinese adolescents
- Internet use and activities