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大学生网络成瘾影响因素分析
引用本文:梁瑛楠,杨丽珠,谷力群.大学生网络成瘾影响因素分析[J].中国健康心理学杂志,2008,16(8):870-873.
作者姓名:梁瑛楠  杨丽珠  谷力群
作者单位:1. 中国.辽宁师范大学教育学院心理系,大连,116029
2. 大连工业大学管理与社会科学学院
摘    要:目的探讨大学生网络成瘾的原因。方法采用中文网络成瘾量表、自尊量表、孤独量表、大学生日常生活压力调查表、自编大学生网络使用行为调查问卷,对1450名大学生进行了调查,回收有效问卷1038份。结果对大学生网络成瘾的现状、网络使用特征及心理特征进行调查,建立大学生网络成瘾影响因素模型。结论①大学生网络成瘾呈轻度、重度两种水平,这两种水平总流行率达到14.84%;②网络使用时间、娱乐上网、交易上网、人际上网与网络成瘾存在着显著正相关关系;③自尊、孤独、大学生日常生活压力对网络成瘾有很好的预测作用;④网络成瘾是特定的个体心理特征与特定的网络使用行为、外部环境交互作用的结果。

关 键 词:大学生  网络成瘾  结构方程模型  影响因素

A Study on Influencing Factors of Internet Addiction Disorder in College Students
Liang Yingnan,Yang Lizhu,Gu Liqun.A Study on Influencing Factors of Internet Addiction Disorder in College Students[J].china journal of health psychology,2008,16(8):870-873.
Authors:Liang Yingnan  Yang Lizhu  Gu Liqun
Institution:Liang Yingnan,Yang Lizhu,Gu Liqun.Department of Psychology,Liaoning Normal University,Dalian 116029,P.R.China
Abstract:Objective To analyze reason of Internet Addiction Disorder in College Students. Methods CIAS, Self-Esteem Scale, UCLA Loneliness Scale, CSLSC, Internet Usage Scale were adopted to investigate 1450 college students, which includes 1038 valid questionnaires. Results By investigating prevalence of internet addiction disorder, internet using characteristic and psychological characteristic in college students, influencing factors of internet addiction disorder was established. Conclusion (1)The level of internet addiction disorder of college students shows two kinds of levels: light and weigh. The two kinds of level prevalence was 14.84 % in total. (2)There were positive correlations among the score of time, entertainment, transaction, interpersonal interaction on the internet and the total score of internet addiction disorder. (3)Internet Addiction Disorder can be predicted by self-esteem, loneliness, life stress. (4)Internet Addiction Disorder is the result of the interaction among specific psychological characteristic, specific web, and specific surroundings.
Keywords:College students  Internet addiction disorder  Structural Equation Modeling  Influencing factor
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