中国科学院心理健康重点实验室知识库

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。

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.