{"title":"社交网络、Facebook使用与孤独感:孟加拉国公立和私立大学生的比较分析","authors":"B. Kumar, Purnima Banik, Md. Aminul Islam","doi":"10.11648/J.IJPBS.20190402.13","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":106936,"journal":{"name":"International Journal of Psychological and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Social Network, Facebook Use and Loneliness: A Comparative Analysis Between Public and Private University Students in Bangladesh\",\"authors\":\"B. Kumar, Purnima Banik, Md. Aminul Islam\",\"doi\":\"10.11648/J.IJPBS.20190402.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":106936,\"journal\":{\"name\":\"International Journal of Psychological and Brain Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Psychological and Brain Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/J.IJPBS.20190402.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Psychological and Brain Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.IJPBS.20190402.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
本研究主要探讨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,本研究还探讨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名学生收集的原始数据,并采用了几种方法。首先,本研究采用Lubben Social Network Scale和UCLA loneliness Scale分别测量现实生活社交网络水平和孤独感水平。其次,研究采用OLS法估计的线性回归模型,找出影响学生孤独感的因素。研究发现,虽然研究区域内学生对现实生活社交网络的总体参与度为平均水平,但公立大学学生对现实生活社交网络的参与度相对高于私立大学学生。研究还发现,总体而言,研究区学生的孤独感程度中等,其中私立大学学生的孤独感程度高于公立大学学生。此外,研究发现,如果学生每天多使用一个小时的Facebook和在私立大学读书,他们的孤独感水平分别会增加3.27和3.47,而如果学生在现实生活中增加一个社交网络,他们的孤独感水平会降低4.61。因此,该研究建议学生在使用Facebook时要小心,并更多地参与现实生活中的社交网络,以摆脱孤独感的不利影响。
Social Network, Facebook Use and Loneliness: A Comparative Analysis Between Public and Private University Students in Bangladesh
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.