中国科学院心理健康重点实验室知识库

目的测查大学生人格和社交网络主页信息的关系。方法以438名大学生为被试,使用60题大五人格量表(NEO—FFI),并对被试人人网主页信息编码。结果①高外倾个体和低外倾个体的好友数量[(2.47±0.29)个,(2.34±0.27)个,F=17.861,P=0.000]、分享数量[(2.51±0.56)个,(2.32±0.57)个,F=8.617,P=0.004]、相片数量[(2.30±0.51)张,(2.14±0.56)张,F=5.523,P=0.02]差异有统计学意义;②神经质和日志数量(0.66±0.71)、相片数量(1.92±0.83)呈U型相关(t=2.258,P=0.024;t=2.115,P=0.035);③宜人性高低两组的好友数量[(2.38±0.31)个,(2.39±0.27)个,F=0.149,P=0.700]、收到礼物数量[(1.30±0.52)个,(1.26±0.45)个,F=0.257,P=0.613]差异没有统计学意义。④高开放性个体和低开放性个体的使用分享功能的数量[(2.46±0.57)个,(2.29±0.58)个,F=5.248,P=0.023]差异有统计学意义;⑤高责任心个体和低责任心个体的日志数量[(1.08±0.49)篇,(0.96±0.48)篇,F=3.064,P=0.082]差异有统计学意义(边缘)。结论不同人格特点的大学生的社交网丰面信电善异明昂.

Objective To investigate the relationship between personality and social network profile-based information. Methods 438 college students were recruited, and Big five inventory NEO-FFI was applied to all subjects. The participants' Renren web profile information were recorded. Results ①Individuals with higher score of Extraversion had more friends ( 2.47 ± 0.29,2.34 ± 0.27, F = 17.861, P = 0. 000), shared more ( 2.51 ± 0.56,2.32 ± 0.57, F = 8.617, P = 0. 004 ), pasted more photographs ( 2.30 ± 0.51,2.14 ± 0.56, F = 5. 523, P = 0.02). ② There was a U shape correlation ( t = 2. 258, P= 0.024, t = 2.115, P = 0. 035 ) between levels of neurot- ieism and numbers of blogs ( 0.66 ± 0.71 ) and photographs ( 1.92 ± 0.83 ). ③There was no difference on numbers of friends ( 2.38 ± 0.31,2.39 ± 0.27, F = 0. 149, P = 0.700 ) and e-gifts received ( 1.30 ± 0.52,1.26 ± 0.45, F = 0. 257, P = 0. 613 ) between participants of high and low levels of agreeableness. ④ Individuals with higher scores in openness shared more with others(2.46 ±0.57,2.29 ± 0.58, F= 5. 248, P = 0. 023 ). ⑤ Individuals being more conscientious had more blogs(1.08 ±0.49,0.96 ±0.48, F=3. 064, P=0. 082). Conclusion There are significant differences about profile-based information among college students with different personality.