TY - JOUR
T1 - Factor structure for Young's Internet Addiction Test
T2 - A confirmatory study
AU - CHANG, Ludwig M K
AU - LAW, Sally P M
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008/9/17
Y1 - 2008/9/17
N2 - 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.
AB - 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.
KW - Confirmatory factor analysis
KW - Internet addiction
KW - Young's Internet Addiction Test
UR - http://www.scopus.com/inward/record.url?scp=51349123457&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2008.03.001
DO - 10.1016/j.chb.2008.03.001
M3 - Journal article
AN - SCOPUS:51349123457
SN - 0747-5632
VL - 24
SP - 2597
EP - 2619
JO - Computers in Human Behavior
JF - Computers in Human Behavior
IS - 6
ER -