Company profile of the frequent internet user
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Internet dependency and psychosocial maturity among college students
International Journal of Human-Computer Studies
Caught in the Net: How to Recognize the Signs of Internet Addiction-- and a Winning Strategy for Recovery
Re-examining the measurement models of success for internet commerce
Information and Management
Problematic Internet use or Internet addiction?
Computers in Human Behavior
Factorial validity of problematic Internet use scales
Computers in Human Behavior
Construct validation of the Use, Abuse and Dependence on the Internet inventory
Computers in Human Behavior
Facebook as a toolkit: A uses and gratification approach to unbundling feature use
Computers in Human Behavior
Internet addiction among adolescents in Lebanon
Computers in Human Behavior
Validation and psychometric properties of a short version of Young's Internet Addiction Test
Computers in Human Behavior
Problematic internet use among older adolescents: A conceptual framework
Computers in Human Behavior
Examining the structure of the Internet Addiction Test in adolescents: A bifactor approach
Computers in Human Behavior
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A number of diagnostic scales have been developed in recent years to assess Internet addiction. To better understand the structure, validity, and reliability of such assessment instruments, Young's Internet Addiction Test (IAT) was evaluated using a confirmatory approach. Data collected through a survey of 410 Hong Kong university undergraduates was subjected to exploratory factor analysis and data from a hold-out sample was analyzed using confirmatory factor analysis in order to assess the psychometric properties and factor structure of the IAT scale. Three dimensions, namely, ''Withdrawal and Social Problems'', ''Time Management and Performance'', and ''Reality Substitute'' were extracted. These dimensions were then correlated with a number of criterion variables, including academic performance, online activities, gender, and Internet usage. The results show that academic performance was negatively correlated with the Internet addiction scores. The degree of Internet addiction was also found to vary across different types of online activity, with people engaged in cyberrelationships and online gambling having higher Internet addiction scores.