Internet Using Behaviors, Internet Addiction, and Related Factors among University Students in Taiwan

碩士 === 國立彰化師範大學 === 教育研究所 === 89 === Internet Using Behaviors, Internet Addiction, and Related Factors among University Students in Taiwan Sen-chi Yu Abstract The purposes of the study were to explore the internet using behaviors, internet addiction and re...

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Bibliographic Details
Main Authors: Yu Sen Chi, 游森期
Other Authors: 黃德祥
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/19510473862457977826
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Summary:碩士 === 國立彰化師範大學 === 教育研究所 === 89 === Internet Using Behaviors, Internet Addiction, and Related Factors among University Students in Taiwan Sen-chi Yu Abstract The purposes of the study were to explore the internet using behaviors, internet addiction and related factors among university students in Taiwan. The study examed the difference of addiction proneness and internet using behaviors of subjects; explored different addiction-pattern clusters; and found out discriminate factors related to personality traits, life events, psychological variables and internet addiction. Moreover, this study developed the structural equation model of personality traits, internet addiction, depression, and anxiety, which served the purpose of illustrating the linear structural relationships among the relevant variables. Subjects of 801 university students were evaluated by the instruments, including Internet Usage Survey, Internet Addiction Scale, Five Factor Model Personality Scale, Center for Epidemiologic Studies Depression Scale (CES-D), and Anxiety Scale. The data were analyzed by t-test, ANOVA, Chi-square Test, Pearson Product-moment Correlation, Phi-coefficient, Crame''s Vc Coefficient, Canonical Correlation, Discriminate Analysis, Cluster Analysis, and Structural Equation Modeling. The main finding were as follows: 1.The subjects used internet average 164.0 minutes per day. The most popular internet using behaviors were WWW, BBS, E-mail, ICQ, and internet games. 2.There was significant addiction proneness among different grades, colleges, lodging conditions, and broad-band usages. 3.Internet addicted subjects spent more time on internet. Besides, they had poorer grades, smaller social network, and lager virtual social network. 4.Internet addicted subjects used significantly more time in WWW, Chat rooms, ICQ, BBS, internet games, and internet pornography. But there were no significant differences in FTP, on-line shopping, and on-line gambling. 5. Internet addicted subjects had higher scores of depression and anxiety than those of general users. 6. Concerning Five-Factor Model Personality Traits, internet addicted subjects had higher scores of Neuroticism, Extraversion, and Openness; and lower scores of Conscientiousness as well; but no significant differences in Agreeableness. 7. Personality traits, depression, and anxiety could significantly distinguish internet addicted and non-addicted subjects. 8. According to Cluster Analysis, internet addicted subjects could divide to four clusters, including internet pornography and video game addiction proneness, on-line shopping addiction proneness, virtual friendship dependence addiction proneness, and compulsive information seeking addiction proneness. 9. There was significant correlation between internet addiction and internet using behaviors. 10. The theoretical model constructed in the study could explain the relationship among main variables tested by LISREL. Finally, some suggestions for teachers, schools, students and further study were made according to the findings. Key Words: Internet Addiction, Internet Applications, Personality Traits, Depression, Anxiety, Structural Equation Modeling.