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信号检测论在测定“人肉搜索”参与者社会认知辨别力中的应用
引用本文:张珊珊,彭唯.信号检测论在测定“人肉搜索”参与者社会认知辨别力中的应用[J].应用心理学,2010,16(2):187-192.
作者姓名:张珊珊  彭唯
作者单位:[1]中国科学院心理研究所,北京100101 [2]中国科学院研究生院,北京100049 [3]北京大学心理系,北京100871
摘    要:采用"人肉搜索结果期待问卷"对225位"人肉搜索"参与者进行在线问卷调查,运用UlehlaAdams构建的信号检测模式进行数据分析,以期探讨参与者的社会认知辨别力(Social Cognitive Discriminability,SCD)及其主要影响因素。结果表明:(1)参与者群体具有一定的SCD(d′=0.61±0.44),即对公权信息和私权信息具有一定的区分能力,且反应偏向β适中(1.24±0.39);(2)性别、受教育程度、月收入和上网时长对SCD及各分测量指标的影响均不显著,而不同居住地参与者的SCD差异边缘性显著,且在"自我体验"分测量指标上差异显著;(3)在"搜集信息"和"社会参与"上具有不同活动倾向的参与者,其SCD具有显著差异,且在"自我体验"和"同伴认同"分测量指标上也有显著差异。可见,SCD主要受参与者上网活动倾向的影响。

关 键 词:人肉搜索  信号检测模式  SCD  上网活动倾向

The Application of Signal Detection Theory in Measuring "Human Flesh Search" Participants' Social Cognitive Discriminability
ZHANG Shan-shan,PENG Wei.The Application of Signal Detection Theory in Measuring "Human Flesh Search" Participants' Social Cognitive Discriminability[J].Chinese JOurnal of Applied Psychology,2010,16(2):187-192.
Authors:ZHANG Shan-shan  PENG Wei
Institution:1.Institution of Psychology,Chinese Academy of Sciences,Beijing 100101,China; 2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China; 3.Department of Psychology,Peking University,Beijing 100871,China)
Abstract:Using an online test for 225 participants of "Human Flesh Search" with the Expected Consequences of Human Flesh Search Test,this research adopted signal detection modal constructed by Ulehla Adams to explore participants' Social Cognitive Discrim-inability (SCD) and major related factors.The results showed as follows:(1) Participants had a certain SCD (d' = 0.61±0.44) and moderate response bias(β= 1.24±0.39),or a certain distinction capacity between the rights of public information and private rights;(2) There were no significant differences in SCD and measurement index among these groups sorted by gender,salary,education level or the Internet access time,whereas the residential had a marginal significant difference in SCD and significant differences in self-experience;(3) There were significant differences in SCD among different tendency of online activities in "gathering information","social participation", self-experience and peer recognition.
Keywords:human flesh search  signal detection model  SCD  the tendency of online activities
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