Malloy Thomas E
Rhode Island College.
Eur J Soc Psychol. 2018 Apr;48(3):285-302. doi: 10.1002/ejsp.2324. Epub 2017 May 25.
Dyadic interpersonal attraction (IA) was studied within groups of very highly acquainted family members, friends and co-workers. IA was determined by the perceiver (i.e., the heart of the beholder), the target (i.e., the heart of the beheld), and in specific dyads, by the unique combination of the two. The consistency of one's attraction to others and others' attraction to the person across groups were addressed using the . Attraction to a person in one group was independent of attraction to that person in another, although people predicted that members of different groups were similarly attracted to them. A new model (ARRMA) was specified to simultaneously study assumed reciprocity, actual reciprocity, and metaperception accuracy of attraction (i.e., accurate predictions of others' attraction to oneself). Assumed reciprocity of IA was substantial at the individual and dyadic levels. Reciprocity of attraction at the individual level, a heretofore unconfirmed "plausible hypothesis" (Newcomb, 1979), was supported; dyadic reciprocity was weak. Meta-accuracy of IA was observed among individuals but was weak in dyads. Perceived interpersonal similarity predicted IA among individuals and in specific dyads. Considering dyadic attraction within and between groups, and the use of componential analysis permitted the specification of new IA phenomena and resolved a long standing theoretical problem regarding the reciprocity of attraction.
在关系极为亲密的家庭成员、朋友和同事群体中,研究了二元人际吸引力(IA)。人际吸引力由感知者(即旁观者之心)、目标对象(即被观察者之心)决定,在特定二元关系中,还由两者的独特组合决定。通过使用[具体方法未提及]来探讨一个人对他人的吸引力以及他人对这个人的吸引力在不同群体间的一致性。对一个人在某一群体中的吸引力与在另一群体中对该人的吸引力相互独立,尽管人们预测不同群体的成员对他们的吸引力相似。提出了一个新模型(ARRMA),用于同时研究假定的互惠性、实际的互惠性以及吸引力的元感知准确性(即准确预测他人对自己的吸引力)。在个体和二元关系层面,假定的人际吸引力互惠性都很显著。个体层面吸引力的互惠性,这一此前未得到证实的“似是而非的假设”(纽科姆,1979年)得到了支持;二元关系中的互惠性较弱。在个体间观察到了人际吸引力的元准确性,但在二元关系中较弱。感知到的人际相似性预测了个体间以及特定二元关系中的人际吸引力。考虑群体内部和群体之间的二元吸引力,并使用成分分析,有助于明确新的人际吸引力现象,并解决了一个长期存在的关于吸引力互惠性的理论问题。