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首页> 外文期刊>Computers in Human Behavior >Predicting adolescent Internet addiction: The roles of demographics, technology accessibility, unwillingness to communicate and sought Internet gratifications
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Predicting adolescent Internet addiction: The roles of demographics, technology accessibility, unwillingness to communicate and sought Internet gratifications

机译:预测青少年互联网成瘾:人口统计学,技术可及性,不愿交流和寻求互联网满足感的作用

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摘要

Although research examining Internet addiction is as old as the Internet itself, the roles of Internet users' background characteristics and sought Internet gratifications in predicting Internet addiction (IA) are still unclear. Previous literature has pointed out the urgent need to identify how Internet addicts differ from non-addicts with regard to their background characteristics and Internet gratifications. In order to provide conceptual links among IA, background characteristics and Internet gratifications, a cross-sectional survey-based research study was conducted with 1914 adolescent Internet users from India. The data were gathered from 10 junior and senior high schools from four cities in northwestern India. The data were analyzed using exploratory and confirmatory factor analysis, Pearson correlations, independent sample t-tests, logistic regression and hierarchical multiple regression. The study results suggest that gender (male), daily time spent on Internet use, reward seeking, and connecting and social influence gratifications dichotomize the Internet addict and non-addict cohorts. Besides these study variables, academic performance, parental attitudes towards Internet use, approach avoidance, information seeking, and exposure and coordination gratifications were found to lead to the conditioning of IA among adolescent Internet users. The practical as well as theoretical implications for IA research and other stakeholders are also discussed and presented. (C) 2015 Elsevier Ltd. All rights reserved.
机译:尽管研究网络成瘾的研究与互联网本身一样古老,但是互联网用户的背景特征和寻求互联网满足感在预测网络成瘾(IA)中的作用仍不清楚。以前的文献指出,迫切需要确定互联网成瘾者在背景特征和互联网满意度方面与非成瘾者之间的区别。为了提供IA,背景特征和互联网满意度之间的概念联系,对1914年来自印度的青少年互联网用户进行了基于调查的横断面研究。数据来自印度西北部四个城市的10所初中和高中。使用探索性和确认性因子分析,Pearson相关性,独立样本t检验,逻辑回归和分层多元回归分析数据。研究结果表明,性别(男性),每天在互联网上花费的时间,寻求奖励,建立联系和社会影响满足感将互联网成瘾者和非成瘾者群体分为两部分。除了这些研究变量之外,还发现学术表现,父母对互联网使用的态度,避免使用方法,寻求信息以及对暴露和协调的满足感,这些都导致了青少年互联网用户的IA状况。还讨论并介绍了对IA研究和其他利益相关者的实践和理论意义。 (C)2015 Elsevier Ltd.保留所有权利。

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