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. Result showed that scales derived from both frameworks (CIA-Young Scale and CIA-Goldberg 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 non-addicted respondents differed in the 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) by Internet activities predicted higher probability of Internet addiction.
|Title of host publication||Adolescence and Behavior Issues in a Chinese Context|
|Publisher||Nova Science Publishers, Inc.|
|Number of pages||16|
|Publication status||Published - 1 Jan 2013|
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