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首页> 外文期刊>International Journal of Psychological and Brain Sciences >Social Network, Facebook Use and Loneliness: A Comparative Analysis Between Public and Private University Students in Bangladesh
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Social Network, Facebook Use and Loneliness: A Comparative Analysis Between Public and Private University Students in Bangladesh

机译：社交网络，Facebook使用和孤独感：孟加拉国公立和私立大学学生的比较分析

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The study mainly explores the level of real life social network, Facebook use and loneliness of the university students in Bangladesh. In addition, the study examines the factors affecting loneliness of the students. To achieve these objectives, the study uses primary data collected from 380 students and employs several methods. Firstly, the study employs Lubben Social Network Scale and UCLA loneliness scale to measure the level of real life social network and loneliness, respectively. Secondly, the study uses a linear regression model estimated through OLS method to find out the factors affecting loneliness of the students. The study finds that although aggregately students are averagely engaged in real life social network in the study area, public university students are relatively more engaged in real life social network than that of private university students. The study also finds that aggregately students in the study area suffer from loneliness moderately where private university students suffer more than that of public university students. Moreover, the study finds that the level of loneliness is increased by 3.27 and 3.47 if students use Facebook one hour more per day and students read in private university, respectively while the level of loneliness is decreased by 4.61 if the level of real life social network is increased by one. Therefore, the study suggests the students to be careful in using Facebook and to be engaged more in real life social network in order to get rid of the adverse effects of loneliness.
机译：该研究主要探讨了孟加拉国大学生的现实生活社交网络水平，Facebook使用情况和孤独感。此外，研究还研究了影响学生孤独感的因素。为了实现这些目标，该研究使用了从380名学生那里收集的主要数据，并采用了几种方法。首先，本研究分别采用Lubben社交网络量表和UCLA孤独感量表来衡量现实生活中社交网络的水平和孤独感。其次，本研究采用OLS法估算的线性回归模型，找出影响学生孤独感的因素。研究发现，尽管总体上学生在研究区域内平均参与现实生活社交网络，但公立大学生比私立大学学生相对更多地参与现实生活社交网络。该研究还发现，研究区的学生总体上遭受孤独感的程度较弱，而私立大学的学生比公立大学的学生遭受的孤独感更大。此外，研究发现，如果学生每天使用Facebook多一小时和在私立大学读书，则孤独感分别提高了3.27和3.47，而如果现实生活中的社交网络水平则使孤独感降低了4.61。增加一。因此，这项研究建议学生要谨慎使用Facebook，并更多地参与现实生活中的社交网络，以摆脱孤独的不利影响。

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