Forming impressions of others is a fundamental aspect of social life. These impressions necessitate the integration of many and varied sources of information about other people, including social group memberships, apparent personality traits, inferences from observed behaviors, and so forth. However, methodological limitations have hampered progress in understanding this integration process. In particular, extant approaches have been unable to measure the independent contributions of multiple features to a given impression. In this article, after describing these limitations and their constraints on theory testing and development, we present a multinomial processing tree model as a computational solution to the problem. Specifically, the model distinguishes the contributions of multiple cues to social judgment. We describe an empirical demonstration of how applying the model can resolve long-standing debates among person perception researchers. Finally, we survey a variety of questions to which this approach can be profitably applied. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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衡量多种社会线索的影响，以推进个人感知研究的理论。


形成他人的印象是社交生活的一个基本方面。这些印象需要整合有关其他人的许多不同来源的信息，包括社会群体成员资格、明显的人格特征、从观察到的行为的推论等等。然而，方法上的限制阻碍了理解这一整合过程的进展。特别是，现有的方法无法衡量多个特征对给定印象的独立贡献。在本文中，在描述了这些局限性及其对理论测试和开发的约束之后，我们提出了一个多项式处理树模型作为该问题的计算解决方案。具体来说，该模型区分了多种线索对社会判断的贡献。我们描述了应用该模型如何解决人类感知研究人员之间长期存在的争论的实证演示。最后，我们调查了可以应用这种方法并从中获利的各种问题。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。