Social impressions arise from characteristics of both perceivers and targets. However, empirical research in the domain of impression formation has yet to quantify the extent to which perceiver and ...target characteristics uniquely contribute to impressions across group boundaries (e.g., race, gender). To what extent does an impression arise from "our mind" versus "a target's face", and does this process differ for impressions across race and gender? We explored this question by estimating intraclass correlation coefficients (ICCs) from cross-classified multilevel models of 188,472 face ratings from 2,230 participants (Study 1) and 219,658 ratings from 2,984 participants (Study 2). We partitioned the total variance in ratings on a trait dimension (trustworthiness, dominance, youthful/attractiveness) into variance explained by perceivers versus targets, and compared these ICCs among different groups (e.g., ratings of own- vs. other-group targets). Overarching results reveal (a) target appearance matters more for women than men, (b) target appearance matters more for impressions on youthful/attractiveness than trustworthiness or dominance dimensions, (c) differences in perceiver/target influences across race did not consistently replicate, and (d) these differences are absent in minimal groups, supporting the role of racial and gender stereotypes in driving these effects. Overall, perceiver characteristics contribute more to impressions than target appearance. Our findings disentangle the contributions of perceiver and targets to impressions and illustrate that the process of impression formation is not equal across various group boundaries.
To what extent are perceivers’ first impressions of other individuals dictated by cultural background rather than personal idiosyncrasies? To address this question, we analyzed a globally diverse ...data set containing 11,481 adult participants’ ratings of 120 targets across 45 countries (2,597,624 total ratings). Across ratings of 13 traits, we found that perceivers’ idiosyncratic differences accounted for approximately 29% of variance and impressions on their own and approximately 16% in conjunction with target characteristics. However, country- and region-level differences, here a proxy for culture, accounted for 3.2% on average (i.e., both alone and in conjunction with target characteristics). We replicated this pattern of effects in a preregistered analysis on an entirely novel data set containing 7,007 participants’ ratings of 100 targets across 41 countries (24,886 total ratings). Together, these results suggest that perceivers’ impressions of other people are largely dictated by their individual characteristics and local environment rather than their cultural background.
Facial impressions (e.g., trustworthy, intelligent) vary considerably across different perceivers and targets. However, nearly all existing research comes from participants evaluating faces on a ...computer screen in a lab or office environment. We explored whether social perceptions could additionally be influenced by perceivers’ experiential factors that vary in daily life: mood, environment, physiological state, and psychological situations. To that end, we tracked daily changes in participants’ experienced contexts during impression formation using experience sampling. We found limited evidence that perceivers’ contexts are an important factor in impressions. Perceiver context alone does not systematically influence trait impressions in a consistent manner—suggesting that perceiver and target idiosyncrasies are the most powerful drivers of social impressions. Overall, results suggest that perceivers’ experienced contexts may play only a small role in impressions formed from faces.
Impressions of other people’s faces (e.g., trustworthiness) have long been thought to be evoked by morphological variation (e.g., upturned mouth) in a universal, fixed manner. However, recent ...research suggests that these impressions vary considerably across perceivers and targets’ social-group memberships. Across 4,247 U.S. adults recruited online, we investigated whether racial and gender stereotypes may be a critical factor underlying this variability in facial impressions. In Study 1, we found that not only did facial impressions vary by targets’ gender and race, but also the structure of these impressions was associated with the structure of stereotype knowledge. Study 2 extended these findings by demonstrating that individual differences in perceivers’ own unique stereotype associations predicted the structure of their own facial impressions. Together, the findings suggest that the structure of people’s impressions of others’ faces is driven not only by the morphological variation of the face but also by learned stereotypes about social groups.
Dynamic models of impression formation posit that bottom-up factors (e.g., a target’s facial features) and top-down factors (e.g., perceiver knowledge of stereotypes) continuously interact over time ...until a stable categorization or impression emerges. Most previous work on the dynamic resolution of judgments over time has focused on either categorization (e.g., “is this person male/female?”) or specific trait impressions (e.g., “is this person trustworthy?”). In two mousetracking studies—exploratory (N = 226) and confirmatory (N = 300)—we test a domain-general effect of cultural stereotypes shaping the process underlying impressions of targets. We find that the trajectories of participants’ mouse movements gravitate toward impressions congruent with their stereotype knowledge. For example, to the extent that a participant reports knowledge of a “Black men are less trait” stereotype, their mouse trajectory initially gravitates toward categorizing individual Black male faces as “less trait,” regardless of their final judgment of the target.
Doing Better Data Visualization Hehman, Eric; Xie, Sally Y.
Advances in methods and practices in psychological science,
10/2021, Volume:
4, Issue:
4
Journal Article
Peer reviewed
Open access
Methods in data visualization have rapidly advanced over the past decade. Although social scientists regularly need to visualize the results of their analyses, they receive little training in how to ...best design their visualizations. This tutorial is for individuals whose goal is to communicate patterns in data as clearly as possible to other consumers of science and is designed to be accessible to both experienced and relatively new users of R and ggplot2. In this article, we assume some basic statistical and visualization knowledge and focus on how to visualize rather than what to visualize. We distill the science and wisdom of data-visualization expertise from books, blogs, and online forum discussion threads into recommendations for social scientists looking to convey their results to other scientists. Overarching design philosophies and color decisions are discussed before giving specific examples of code in R for visualizing central tendencies, proportions, and relationships between variables.
A person's impression of another depends upon three sources of variance. The characteristics of the target, the characteristics of the perceiver, and the interplay between the two. Researchers have ...dedicated different amounts of study to these three sources of variance, and therefore they differ in how well they are understood. The present work will first review the portions of the face impression process that are understood well, then identify and discuss portions of the process less well understood. We will then question to what extent the current state of knowledge will generalize to novel targets and populations. Finally, we will review several modeling approaches that can accommodate relatively unexamined yet important sources of variance in impression formation, suggesting a clear path forward toward a comprehensive understanding of face impressions.
Over the past 10 years, Oosterhof and Todorov's valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions ...(valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov's methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov's original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 5 November 2018. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.7611443.v1 .
Mycorrhizal fungi may play an important role in protecting plants against arsenic (As) contamination. However, little is known about the direct and indirect involvement of arbuscular mycorrhizal ...fungi (AMF) in detoxification mechanisms. A compartmented pot cultivation system ('cross-pots') is used here to investigate the roles of AMF Glomus mosseae in plant phosphorus (P) and As acquisition by Medicago sativa, and P-As interactions. The results indicate that fungal colonization dramatically increased plant dry weight by a factor of around 6, and also substantially increased both plant P and As contents (i.e. total uptake). Irrespective of P and As addition levels, AM plants had shoot and root P concentrations 2 fold higher, but As concentrations significantly lower, than corresponding uninoculated controls. The decreased shoot As concentrations were largely due to "dilution effects" that resulted from stimulated growth of AM plants and reduced As partitioning to shoots. The study provides further evidence for the protective effects of AMF on host plants against As contamination, and have uncovered key aspects of underlying mechanisms. The possible application of AMF in remediation practices is discussed.
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