Prejudice model 1.0: A predictive model of prejudice.

The present research develops a predictive model of prejudice. For nearly a century, psychology and other fields have sought to scientifically understand and describe the causes of prejudice. Numerous theories of prejudice now exist. Yet these theories are overwhelmingly defined verbally and thus lack the ability to precisely predict when and to what extent prejudice will emerge. The abundance of theory also raises the possibility of undetected overlap between constructs theorized to cause prejudice. Predictive models enable falsification and provide a way for the field to move forward. To this end, here we present 18 studies with ∼5,000 participants in seven phases of model development. After initially identifying major theorized causes of prejudice in the literature, we used a model selection approach to winnow constructs into a parsimonious predictive model of prejudice (Phases I and II). We confirm this model in a preregistered out-of-sample test (Phase III), test variations in operationalizations and boundary conditions (Phases IV and V), and test generalizability on a U.S. representative sample, an Indian sample, and a U.K. sample (Phase VI). Finally, we consulted the predictions of experts in the field to examine how well they align with our results (Phase VII). We believe this initial predictive model is limited and bad, but by developing a model that makes highly specific predictions, drawing on the state of the art, we hope to provide a foundation from which research can build to improve science of prejudice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Local Legislation is Associated With Regional Transgender Attitudes.

Using a newly developed measure of implicit transgender attitudes, we investigate the association between state-level antitransgender policies and individual-level attitudes about transgender people among residents. In a large sample of U.S. participants (N = 211,133), we find that individuals living in states with more discriminatory policies against transgender people (e.g., not allowing changes to one's gender identity on official identity papers) exhibited more negative implicit and explicit transgender attitudes. This pattern held after controlling for participant race and gender, as well as when looking only at cisgender participants. These findings extend prior work concerning how intergroup biases relate to regional characteristics such as legislation and do so in a novel and consequential context. This research also informs ongoing work concerning the role of policy-making and social norms on the development and expression of intergroup prejudice.

Stereotypes shape response competition when forming impressions.

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.

Dress is a Fundamental Component of Person Perception.

ACADEMIC ABSTRACT: Clothing, hairstyle, makeup, and accessories influence first impressions. However, target dress is notably absent from current theories and models of person perception. We discuss three reasons for this minimal attention to dress in person perception: high theoretical complexity, incompatibility with traditional methodology, and underappreciation by the groups who have historically guided research in person perception. We propose a working model of person perception that incorporates target dress alongside target face, target body, context, and perceiver characteristics. Then, we identify four types of inferences for which perceivers rely on target dress: social categories, cognitive states, status, and aesthetics. For each of these, we review relevant work in social cognition, integrate this work with existing dress research, and propose future directions. Finally, we identify and offer solutions to the theoretical and methodological challenges accompanying the psychological study of dress. PUBLIC ABSTRACT: Why is it that people often agonize over what to wear for a job interview, a first date, or a party? The answer is simple: They understand that others' first impressions of them rely on their clothing, hairstyle, makeup, and accessories. Many people might be surprised, then, to learn that psychologists' theories about how people form first impressions of others have little to say about how people dress. This is true in part because the meaning of clothing is so complex and culturally dependent. We propose a working model of first impressions that identifies four types of information that people infer from dress: people's social identities, mental states, status, and aesthetic tastes. For each of these, we review existing research on clothing, integrate this research with related work from social psychology more broadly, and propose future directions for research.

Implicit bias predicts less willingness and less frequent adoption of Black children more than explicit bias.

In the United States, prospective adoptive parents often express preferences related to race. In two studies, we examined whether implicit racial bias against Black people may contribute to disparities in much less willingness to adopt Black children. The first study (N = 510) assessed individuals' implicit racial bias and their willingness to adopt a Black child. The second study (N = 2,001,652) used U.S. state-level implicit racial bias to predict adoption rates of Black foster children in each U.S. state. Greater implicit racial bias predicted less willingness to adopt Black children and less frequent adoptions of Black foster children. Implicit bias contributed to these disparities above and beyond explicit bias, with implicit bias having a 43% larger effect size than explicit bias on willingness to adopt a Black child. These are the first findings to demonstrate the role implicit bias plays in explaining large disparities between Americans' willingness to adopt Black and White children.

Evaluating validity properties of 25 race-related scales.

Racial attitudes, beliefs, and motivations lie at the center of many influential theories of prejudice and discrimination. The extent to which such theories can meaningfully explain behavior hinges on accurate measurement of these latent constructs. We evaluated the validity properties of 25 race-related scales in a sample of 910,066 respondents using various tools, including dynamic fit indices, item response theory, and nomological nets. Despite showing adequate internal reliability, many scales demonstrated poor model fit and had latent score distributions showing clear floor or ceiling effects, results that illustrate deficiencies in these measures' ability to capture their intended latent construct. Nomological nets further suggested that the theoretical space of "racial prejudice" is crowded with scales that may not capture meaningfully distinct latent constructs. We provide concrete recommendations for both scale selection and scale renovation and outline implications for overlooking measurement issues in the study of prejudice and discrimination.

Everyday Perceiver-Context Influences on Impression Formation: No Evidence of Consistent Effects.

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.

Best research practices for using the Implicit Association Test.

Interest in unintended discrimination that can result from implicit attitudes and stereotypes (implicit biases) has stimulated many research investigations. Much of this research has used the Implicit Association Test (IAT) to measure association strengths that are presumed to underlie implicit biases. It had been more than a decade since the last published treatment of recommended best practices for research using IAT measures. After an initial draft by the first author, and continuing through three subsequent drafts, the 22 authors and 14 commenters contributed extensively to refining the selection and description of recommendation-worthy research practices. Individual judgments of agreement or disagreement were provided by 29 of the 36 authors and commenters. Of the 21 recommended practices for conducting research with IAT measures presented in this article, all but two were endorsed by 90% or more of those who felt knowledgeable enough to express agreement or disagreement; only 4% of the totality of judgments expressed disagreement. For two practices that were retained despite more than two judgments of disagreement (four for one, five for the other), the bases for those disagreements are described in presenting the recommendations. The article additionally provides recommendations for how to report procedures of IAT measures in empirical articles.

Parsing the Mechanisms Underlying Ingroup Facial Resemblance.

People prefer to form relationships with people like themselves-a tendency that extends even to facial appearance, resulting in groups whose members look alike. Here, we investigated the mechanisms underlying homophilic resemblance using facial photos of fraternity/sorority members from two time points: before joining the group and after belonging to the group for three years. Analyses of both subjective trait impressions and objective face-shape measurements revealed that not only did group members look alike, they resembled one another even before joining the group. Moreover, photos of potential fraternity recruits revealed that facial appearance predicted both the group that individuals sought to join and the group's likelihood of accepting them. Individuals, therefore, seek to join groups consisting of people who look like them, and the groups preferentially accept new members who resemble those already in the group. This bidirectional preference for homophily likely perpetuates intragroup homogeneity, suggesting potential implications beyond appearance.

Little Between-Region and Between-Country Variance When People Form Impressions of Others.

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 Are Predicted by the Structure of Group Stereotypes.

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.

The relevance appraisal matrix: Evaluating others' relevance.

People seek to detect who facilitates and who impedes their goal pursuit. The resulting relevance appraisals of opportunity and threat, respectively, can strongly shape subsequent social judgment and behavior. However, important questions about the nature of relevance appraisals remain unanswered: Are relevance appraisals unidimensional or multidimensional? Are people evaluated as generally posing opportunities and/or threats, or as dynamically relevant depending on perceiver goals? We test two hypotheses. First, we propose that opportunity and threat are appraised independently, rather than as endpoints of a single dimension. If so, then others can be evaluated as (a) facilitating a goal, (b) impeding a goal, (c) both facilitating and impeding a goal, or (d) neither facilitating nor impeding a goal. Second, we hypothesize that relevance appraisals shift dynamically with perceiver goals. For example, a single person may be appraised as facilitating one's mate-seeking goal, but as neither facilitating nor impeding one's self-protection goal. In two studies, participants rated the extent to which a variety of targets (e.g., a doctor, a 5-year-old child) pose threats and opportunities to different goals. Confirmatory factor analyses support both hypotheses. We also explore relationships between the Relevance Appraisal Matrix and the stereotype content (Fiske et al., 2002) and ABC (Koch et al., 2016) models of stereotypes, finding evidence that relevance appraisals are distinct from stereotypes of group attributes. In sum, we provide a framework for understanding the structure of relevance appraisals: A central and consequential, yet dynamic and relatively understudied, aspect of social cognition. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Perceived femininity and masculinity contribute independently to facial impressions.

In person perception research, femininity and masculinity are regularly conceived as 2 ends of 1 bipolar dimension. This unidimensional understanding permeates work on facial impressions, gender diagnosticity, and perceptions of LGBTQ individuals, but it is perhaps most prominent in evolutionary work suggesting that sexually dimorphic facial features (which vary along a female-male continuum) correspond directly with subjective ratings of femininity and masculinity, which in turn predict ratings of traits such as attractiveness. In this paper, we analyze 2 large face databases (the Chicago and Bogazici Face Databases) to demonstrate that femininity and masculinity are distinct dimensions in person perception. We also evaluate key theoretical assumptions surrounding femininity and masculinity in evolutionary theories of face perception. We find that sexually dimorphic features weakly correlate with each other and typically explain just 10-20% of variance in subjective ratings of femininity and masculinity. Femininity and masculinity each explain unique variance in trait ratings of attractiveness, dominance, trustworthiness, and threat. Femininity and masculinity also interact to explain unique variance in these traits, revealing facial androgyny as a novel phenomenon. We propose a new theoretical model explaining the link between biology, facial features, perceived femininity and masculinity, and trait ratings. Our findings broadly suggest that concepts that are "opposites" semantically cannot necessarily be assumed to be psychological opposites. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Trait knowledge forms a common structure across social cognition.

Researchers have noted the resemblance across core models of social cognition, in which trait inferences centre on others' intentions and abilities (for example, warmth, competence). Current views posit that this common 'trait space' originates from the adaptive utility of the dimensions, predicting a relatively fixed and universal architecture. In contrast, we hypothesize that perceivers learn conceptual knowledge of how traits correlate, which shapes trait inferences similarly across domains (for example, faces, person knowledge, stereotypes), from which a common trait space emerges. Here we show substantial overlap between the structures of perceivers' conceptual and social perceptual trait spaces, across perceptual domains (studies 1-4) and that conceptual associations directly shape trait space (study 5). Furthermore, we find evidence that conceptual trait space is learned from social perception and actual personality structure (studies 6 and 7). Our findings suggest conceptual trait associations serve as a cornerstone in social perception, providing broad implications for the study of social behaviour.

Establishing construct validity evidence for regional measures of explicit and implicit racial bias.

Large-scale data collection has enabled social scientists to examine psychological constructs at broad, regional levels. However, because constructs and their measures initially operationalized at the individual level may have qualitatively and quantitatively different properties at other levels of analysis, the validity of constructs must be established when they are operationalized at new levels. To this end, the current research presents evidence of construct validity for explicit and implicit racial bias at region levels. Following classic measurement theory, we examine the substantive, structural, and external evidence of construct validity for regional biases. We do so with responses from ∼2 million Black and White North Americans collected over 13 years. Though implicit measures typically demonstrate low retest reliability at the individual level, our analyses reveal conventionally acceptable levels of retest reliability at the highest levels of regional aggregation. Additionally, whereas previous meta-analyses find relatively low explicit-implicit correlations at the individual level, the present research uncovered strong explicit-implicit correlations at regional levels. The findings have implications for how we interpret measures of racial bias at regional levels. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Same-sex marriage legalization associated with reduced implicit and explicit antigay bias.

The current research tested whether the passing of government legislation, signaling the prevailing attitudes of the local majority, was associated with changes in citizens' attitudes. Specifically, with ∼1 million responses over a 12-y window, we tested whether state-by-state same-sex marriage legislation was associated with decreases in antigay implicit and explicit bias. Results across five operationalizations consistently provide support for this possibility. Both implicit and explicit bias were decreasing before same-sex marriage legalization, but decreased at a sharper rate following legalization. Moderating this effect was whether states passed legislation locally. Although states passing legislation experienced a greater decrease in bias following legislation, states that never passed legislation demonstrated increased antigay bias following federal legalization. Our work highlights how government legislation can inform individuals' attitudes, even when these attitudes may be deeply entrenched and socially and politically volatile.

Perceiver and target characteristics contribute to impression formation differently across race and gender.

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. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The conceptual structure of face impressions.

Humans seamlessly infer the expanse of personality traits from others' facial appearance. These facial impressions are highly intercorrelated within a structure known as "face trait space." Research has extensively documented the facial features that underlie face impressions, thus outlining a bottom-up fixed architecture of face impressions, which cannot account for important ways impressions vary across perceivers. Classic theory in impression formation emphasized that perceivers use their lay conceptual beliefs about how personality traits correlate to form initial trait impressions, for instance, where trustworthiness of a target may inform impressions of their intelligence to the extent one believes the two traits are related. This considered, we explore the possibility that this lay "conceptual trait space"-how perceivers believe personality traits correlate in others-plays a role in face impressions, tethering face impressions to one another, thus shaping face trait space. In study 1, we found that conceptual and face trait space explain considerable variance in each other. In study 2, we found that participants with stronger conceptual associations between two traits judged those traits more similarly in faces. Importantly, using a face image classification task, we found in study 3 that participants with stronger conceptual associations between two traits used more similar facial features to make those two face trait impressions. Together, these findings suggest lay beliefs of how personality traits correlate may underlie trait impressions, and thus face trait space. This implies face impressions are not only derived bottom up from facial features, but also shaped by our conceptual beliefs.

States higher in racial bias spend less on disabled medicaid enrollees.

BACKGROUND: While there is considerable state-by-state variation in Medicaid disability expenditure, little is known about the factors that contribution to this variation. OBJECTIVE: Since Blacks disproportionately benefit from Medicaid disability programs, we aimed to gain insight into whether racial bias towards Blacks is one factor that explains state-by-state variation in Medicaid disability expenditures. METHOD: We compiled 1,764,927 responses of explicit and implicit racial bias from all 50 states and Washington D.C. to generate estimates of racial bias for each state (or territory). We then used these estimates to predict states' expenditure per disabled Medicaid enrollee. We also examined whether the relationship between racial bias and disabled Medicaid enrollee expenditure might vary according to states' level of income for Whites, income for Blacks, or conservatism. RESULTS: States with more explicit or implicit racial bias spent less per disabled Medicaid enrollee. This correlation was strongest in states where Whites had lower income, Blacks had higher income, or conservatism was high. Accordingly, these results suggest that racial bias might play a role in Medicaid disability expenditure in places where Whites have a lower economic advantage or there is a culture of conservatism. CONCLUSION: This research established correlations between state-level racial bias and Medicaid disability expenditure. Future research might build upon this work to understand the direction of causality and pathways that might explain these correlations.

A Dynamic Structure of Social Trait Space.

Facial appearance evokes robust impressions of other people's personality traits. Recent research suggests that the trait space arising from face-based impressions shifts due to context and social cognitive factors. We suggest a novel framework in which multiple bottom-up and top-down processes mutually determine a dynamic rather than fixed trait space.