Department of Psychology.
Department of Cognitive, Linguistic & Psychological Sciences.
J Pers Soc Psychol. 2018 Sep;115(3):379-397. doi: 10.1037/pspa0000123. Epub 2018 Jul 5.
Impression formation is a basic module of fundamental research in social cognition, with broad implications for applied research on interpersonal relations, social attitudes, employee selection, and person judgments in legal and political context. Drawing on a pool of 28 predominantly positive traits used in Solomon Asch's (1946) seminal impression studies, two research teams have investigated the impact of the number of person traits sampled randomly from the pool on the evaluative impression of the target person. Whereas Norton, Frost, and Ariely (2007) found a "less-is-more" effect, reflecting less positive impressions with increasing sample size , Ullrich, Krueger, Brod, and Groschupf (2013) concluded that an -independent averaging rule can account for the data patterns obtained in both labs. We address this issue by disentangling different influences of on resulting impressions, namely varying baserates of positive and negative traits, different sampling procedures, and trait diagnosticity. Depending on specific task conditions, which can be derived on theoretical grounds, the strength of resulting impressions (in the direction of the more prevalent valence) (a) increases with increasing for diagnostic traits, (b) is independent of for nondiagnostic traits, or (c) decreases with when self-truncated sampling produces a distinct primacy effect. This refined pattern, which holds for the great majority of individual participants, illustrates the importance of strong theorizing in cumulative science (Fiedler, 2017) built on established empirical laws and logically sound theorizing. (PsycINFO Database Record
印象形成是社会认知基础研究的基本模块,对人际关系、社会态度、员工选拔、法律和政治背景下的人员判断等应用研究具有广泛的意义。两个研究团队借鉴了所罗门·阿希(Solomon Asch)(1946)的开创性印象研究中使用的 28 个主要积极特质,调查了从特质池中随机抽样的特质数量对目标人物评价印象的影响。虽然诺顿(Norton)、弗罗斯特(Frost)和阿里利(Ariely)(2007)发现了“少即是多”的效应,反映出随着样本量的增加印象越来越消极,但乌利希(Ullrich)、克鲁格(Krueger)、布罗德(Brod)和格罗施普夫(Groschupf)(2013)得出结论认为,独立平均规则可以解释两个实验室获得的数据模式。我们通过分解对最终印象产生不同影响的来解决这个问题,即不同的积极和消极特质的基本比率、不同的抽样程序和特质的诊断性。根据具体的任务条件,这可以从理论上推导出来,最终印象的强度(朝着更普遍的效价方向)(a)对于诊断性特质随的增加而增加,(b)对于非诊断性特质与无关,或者(c)当自我截断抽样产生明显的首因效应时,随的增加而减少。这种细化的模式适用于绝大多数个体参与者,说明了在累积科学中强有力的理论化的重要性(Fiedler,2017),这种理论化是建立在既定的经验法则和逻辑上合理的理论基础上的。