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跨情境的人格表达差异:一种社会网络方法。

Variability in personality expression across contexts: a social network approach.

作者信息

Clifton Allan

机构信息

Vassar College.

出版信息

J Pers. 2014 Apr;82(2):103-15. doi: 10.1111/jopy.12038. Epub 2013 May 9.

Abstract

The current research investigated how the contextual expression of personality differs across interpersonal relationships. Two related studies were conducted with college samples (Study 1: N = 52, 38 female; Study 2: N = 111, 72 female). Participants in each study completed a five-factor measure of personality and constructed a social network detailing their 30 most important relationships. Participants used a brief Five-Factor Model scale to rate their personality as they experience it when with each person in their social network. Multiple informants selected from each social network then rated the target participant's personality (Study 1: N = 227, Study 2: N = 777). Contextual personality ratings demonstrated incremental validity beyond standard global self-report in predicting specific informants' perceptions. Variability in these contextualized personality ratings was predicted by the position of the other individuals within the social network. Across both studies, participants reported being more extraverted and neurotic, and less conscientious, with more central members of their social networks. Dyadic social network-based assessments of personality provide incremental validity in understanding personality, revealing dynamic patterns of personality variability unobservable with standard assessment techniques.

摘要

当前的研究调查了人格的情境表达在不同人际关系中是如何不同的。对大学生样本进行了两项相关研究(研究1:N = 52,38名女性;研究2:N = 111,72名女性)。每项研究的参与者都完成了一份五因素人格量表,并构建了一个社交网络,详细列出了他们最重要的30段人际关系。参与者使用一个简短的五因素模型量表来评价他们在与社交网络中的每个人相处时所体验到的自己的人格。然后,从每个社交网络中挑选出的多名信息提供者对目标参与者的人格进行评价(研究1:N = 227,研究2:N = 777)。情境人格评分在预测特定信息提供者的看法方面显示出超越标准整体自我报告的增量效度。这些情境化人格评分的变异性是由社交网络中其他人的位置预测的。在两项研究中,参与者报告称,与社交网络中更核心的成员相处时,他们会更外向、更神经质,而尽责性更低。基于二元社交网络的人格评估在理解人格方面提供了增量效度,揭示了用标准评估技术无法观察到的人格变异性动态模式。

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