大学生网络成瘾与拒网自我效能及网络自我效能的关系探讨

采用问卷调查方法，对浙江大学和西安电子科技大学的420名大学生网络成瘾状态和拒网自我效能进行了研究，探讨大学生网络成瘾与拒网自我效能及网络自我效能之间的关系，以期对网络成瘾进行预判，并为进一步的网络成瘾干预提供理论基础.研究应用卡方检验分析不同拒网自我效能、网络自我效能组间网络成瘾状态的差异，运用相关分析研究网络成瘾与拒网自我效能、网络自我效能的关系，最后利用多元线性回归法，分析影响网络成瘾的主要因素.研究表明：大学生网络成瘾、网络成瘾倾向组比例分别为12.3%和19.1%，东西部院校之间没有差异，网络成瘾量表总分与拒网自我效能总分及各维度得分呈现显著负相关，而网络成瘾量表总分与网络自我效能总分关系不显著，拒网自我效能较低的大学生其网络成瘾比例高于拒网自我效能高的大学生；拒网自我效能中上网的刺激源和习惯性反应两维度是影响大学生网络成瘾的主要因素.本研究结果提示，增强大学生的拒网自我效能对预防网络成瘾可起到积极作用，提高大学生抵抗网络不良刺激的能力和养成良好的作息习惯是预防网络成瘾的关键.

The relationship among internet addiction, refusal internet self-efficacy and internet self-efficacy of college students

By using questionnaire, this study investigated internet addiction, refusal internet self-efficacy and internet selffefficacy in 420 college students from Zhejiang University and Xi＇an University of Science and Technology. The purpose of the study is to discuss the relationship among internet addiction, refusal internet self-efficacy and internet self-efficacy and provide a theoretical basis for internet addiction intervention. Chi-square test is used to analyze the difference in internet addiction statement between different refusal internet self-efficacy and internet self-efficacy groups. Correlation test is used to analyze the relationship among internet addiction, refusal internet self-efficacy and internet self-efficacy. Multiple linear regression analysis is used to discuss the main factors that affect internet addiction. After detailed analysis and discussion, the study gets the following conclusions： the proportion of internet addiction and internet addiction intent were 12.3% and 19.1% respectively. There is no difference between the two schools. Internet addiction scale score and refusal internet self-efficacy score show a significant negative correlation, and there is no significant correlation between internet addiction scale score and internet self-efficacy. Besides, student with lower refusing internet self-efficacy score have higher internet addiction ratio than that of student with higher refusal internet self-efficacy score. Internet source of stimulation and habitual response dimension are major factors of internet addiction. The results of this study suggest that enhanced refusal internet self-efficacy can play a positive role in internet addiction prevention and improving students＇ resistance to negative internet stimulus and good habits are the key to prevent internet addiction.