PSYCH OpenIR  > 中国科学院心理健康重点实验室
大学生社交网络行为与大五人格的相关研究
Alternative TitleRelationship between personality and social networking behaviors in undergraduates
张维晨1,2; 张婍1; 辛玖岭1,2; 熊朋迪1,2; 辛玖岭1,2; 祝卓宏1
2013
Source Publication中华行为医学与脑科学杂志
ISSN1674-6554
Volume22Issue:1Pages:共4页
Abstract

目的探讨大学生社交网络行为与人格特征的关系。方法通过网络招募被试,于2011年8月采用自制人人网使用行为问卷收集509名大学生的社交网络行为,采用60题简版大五人格量表(NEO—FFI)评估被试的人格特征。结果(1)高外倾个体和低外倾个体在留言频率[(2.26±0.51)次,(2.10±0.40)次,t=3.163,P=0.002]、更换状态频率[(2.58±0.71)次,(2.33±0.62)次,t=3.268,P=0.001]、更换头像频率[(2.05±0.88)次,(1.81±0.72)次,t=2.628,P=0.009]、上传照片频率[(2.17±0.49)次,(1.96±0.33)次,t=4.409,P〈0.0005]有显著差异;(2)高开放性个体和低开放性个体使用“送礼物”频率有显著差异[(2.01±0.49)次,(1.83±0.59)次,t=2.870,P=0.005];(3)愿意使用“黑名单”、“悄悄话”的被试宜人性得分和不使用“黑名单”、“悄悄话”的有显著差异[(41.93±4.41)分,(43.07±4.72)分,t=2.207,P=0.028]、[(42.23±4.79)分,(43.27±4.55)分,t=2.476,P=0.014];(4)按照对留言在意程度分为高、中、低组,三组被试责任心得分有显著差异[(41.59±6.33)分,(40.72±5.67)分,(37.56±8.33)分,F=7.170,P=0.001];(5)高神经质个体和低神经质个体对人人网的依赖程度有显著差异[(2.91±1.01)分,(2.48±1.02)分,t=3.815,P〈0.01];状态内容以情绪抒发为主的被试和以社会事件、生活记录为主的神经质得分差异显著[(33.10±6.78)分,(32.19±6.16)分,(31.36±5.77)分,F=3.594,P=0.010];结论大学生社交网络行为与人格特征显著相关,在一定程度上可以反应其人格特征。

Other Abstract

Objective To investigate the relationship between social network behaviors and personality. Methods Both questionnaires including self-reported Renren questionnaire and the simplified Chinese version of NEO five-factor inventory (NEO-FFI) were completed in university students ( n = 509 ). Results ( 1 ) Individuals with higher score of Extraversion used Renren applications more frequently, such as using Wall (2.26 ± 0.51,2.10 ±0.40, t=3. 163, P=0.002) ,Status Update (2.58 ±0.71,2.33 ±0.62, t =3. 268, P=0.001) ,Image (2.05 ±0.88,1.81 ±0.72, t=2.628, P=0.009) ,and Photo (2.17±0.49,1.96±0.33, t=4.409, P〈0.01). (2) Individuals with higher score of Openness of Experience were more likely to use Gift (2.01 ± 0.49,1.83 ± 0.59, t = 2. 870, P = 0. 005 ). ( 3 ) Individuals who were willing to use Blacklist (41.93 ± 4.41,43.07 ± 4.72, t = 2. 207, P = 0. 028) and who were willing to send private messages (42.23 ± 4.79,43.27 ± 4.55, t = 2. 476, P = 0. 014) have higher score of Agreeableness. (4) Individuals who checked messages more often had higher score of Conscientiousness (41.59 ± 6.33,40.72 ± 5.67,37.56 ± 8.33 ; F = 7. 170, P = 0. 001 ). (5) Individuals with higher score of Neuroticism were more likely to be dependent to Renren (2.91 ± 1.01,2.48 ± 1.02, t = 3. 815, P  〈0.01). Individuals who were more likely to express their emotions on SNS had higher score of Neuroticism (33.10 ± 6.78,32.19 ± 6.16,31.36 ± 5.77, F= 3. 594, P= 0. 010). Conclusion The data suggest that the usage of social networking sites are related to personality factors. Personality can be used to predict university students' social networking behaviors.

Keyword大学生 社交网络 人人网 网络行为 大五人格
Indexed ByCSCD
Language中文
Funding Organization基金项目:中国科学院战略性先导科技专项项目(XDA06030800) ; 中国科学院心理健康重点实验室经费资助项目
CSCD IDCSCD:4779467
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/25140
Collection中国科学院心理健康重点实验室
Affiliation1.中国科学院心理研究所心理健康重点实验室
2.中国科学院大学
3.中关村科技园区海淀园博士后工作站
First Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
张维晨,张婍,辛玖岭,等. 大学生社交网络行为与大五人格的相关研究[J]. 中华行为医学与脑科学杂志,2013,22(1):共4页.
APA 张维晨,张婍,辛玖岭,熊朋迪,辛玖岭,&祝卓宏.(2013).大学生社交网络行为与大五人格的相关研究.中华行为医学与脑科学杂志,22(1),共4页.
MLA 张维晨,et al."大学生社交网络行为与大五人格的相关研究".中华行为医学与脑科学杂志 22.1(2013):共4页.
Files in This Item:
File Name/Size DocType Version Access License
大学生社交网络行为与大五人格的相关研究-(338KB)期刊论文作者接受稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[张维晨]'s Articles
[张婍]'s Articles
[辛玖岭]'s Articles
Baidu academic
Similar articles in Baidu academic
[张维晨]'s Articles
[张婍]'s Articles
[辛玖岭]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[张维晨]'s Articles
[张婍]'s Articles
[辛玖岭]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 大学生社交网络行为与大五人格的相关研究-张维晨.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.