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We used a reverse-correlation image-classification paradigm to visualize facial representations of immigrants and citizens in the United States. Visualizations of immigrants' faces were judged by independent raters as less trustworthy and less competent and were more likely to be categorized as a non-White race/ethnicity than were visualizations of citizens' faces. Additionally, image generators' personal characteristics (e.g., implicit and explicit evaluations of immigrants, nativity status) did not reliably track with independent judges' ratings of image generators' representations of immigrants. These findings suggest that anti-immigrant sentiment and racial/ethnic assumptions characterize facial representations of immigrants in the United States, even among people who harbor positivity toward immigrants.

The current study examined the moderating role of shame proneness on the association between physical, psychological, and sexual intimate partner violence victimization and depressive and anxious symptoms among male and female college students (N = 967). Students completed self-report measures of dating violence, depression, anxiety, and shame proneness. Results showed that shame proneness moderated the association between all forms of victimization and mental health symptoms. A three-way interaction revealed that sexual victimization predicted symptoms of anxiety to a greater extent for men than for women at high levels of shame proneness. Furthermore, results showed that gender moderated the association between physical and psychological victimization and health outcomes, such that victimization was related to increased depressive and anxious symptoms for men but not for women. Interpretations of these findings are discussed in relation to violence interventions, including primary prevention, and men's health. (Contains 4 tables, 1 figure, and 4 notes.)

While physical fitness testing has the potential to invoke embarrassment and anxiety, strategies can be developed that can motivate students to exert maximal effort, provide positive feedback on skill improvement, and encourage students to set fitness goals that can be achieved through developmentally appropriate physical activities. The purpose of this article is to discuss relevant psychological theories that explain factors related to students' performance on fitness testing, as well as to provide instructional strategies that minimize adverse reactions to fitness testing and that maximize effort, enjoyment, and motivation. Throughout the article, we address the relationship of physical fitness testing to several psychological factors such as perceptions of competence, intrinsic and extrinsic motivation, enjoyment, goal orientation, and physical activity promotion. (Contains 1 table.)

The distinction between automatic processes and controlled processes is a central organizational theme across areas of psychology. However, this dichotomy conceals important differences among qualitatively different processes that independently contribute to ongoing behavior. The Quadruple process model is a multinomial model that provides quantitative estimates of 4 distinct processes in a single task: the likelihood that an automatic response tendency is activated; the likelihood that a contextually appropriate response can be determined; the likelihood that automatic response tendencies are overcome when necessary; and the likelihood that in the absence of other information, behavior is driven by a general response bias. The model integrates dual-process models from many domains of inquiry and offers a generalized, more nuanced framework of impulse regulation across these domains. The model offers insights into many central questions surrounding the operation and the interaction of automatic and controlled processes. Applications of the model to empirical and theoretical concerns in a variety of areas of psychology are discussed. (Contains 1 figure and 7 footnotes.)

The other-race effect (ORE) is a recognition memory advantage afforded to one's racial ingroup versus outgroup. The motivational relevance of the ingroup-because of relationships, belonging and self-esteem-is central to many theoretical explanations for the ORE. However, to date, the motivational relevance of outgroups has received considerably less attention in the ORE literature. Across six experiments, Black, White, Asian and Latinx American participants consistently demonstrated better recognition memory for the faces of relatively higher-status racial/ethnic group members than those of lower-status groups. This higher-status recognition advantage even appeared to override the ORE, such that participants better recognized members of higher-status outgroups-but not an outgroup of equivalent status-compared to members of their own ingroup. However, across a variety of self-reported perceived status measures, status differences between the high- and low-status groups generally did not moderate the documented recognition advantage. These findings provide initial evidence for the potential role of group status in the ORE and in recognition memory more broadly, but future work is needed to rule out alternative explanations.

Prairie voles are among a small group of mammals that display long-term social attachment between mating partners. Many pharmacological studies show that signaling via the oxytocin receptor (Oxtr) is critical for the display of social monogamy in these animals. We used CRISPR mutagenesis to generate three different Oxtr-null mutant prairie vole lines. Oxtr mutants displayed social attachment such that males and females showed a behavioral preference for their mating partners over a stranger of the opposite sex, even when assayed using different experimental setups. Mothers lacking Oxtr delivered viable pups, and parents displayed care for their young and raised them to the weanling stage. Together, our studies unexpectedly reveal that social attachment, parturition, and parental behavior can occur in the absence of Oxtr signaling in prairie voles.

A basic question in the study of human cognition concerns the ability to encode and retrieve associations between pairs of meaningful elements such as words. We employed a standard version of a paired-associate learning task using novel, arbitrary word pairs (restricted to nouns) presented one pair at a time during study without direct warning of a memory test to follow. After a distraction task, participants were provided with a cued-recall task which provided either the first or second word from each of the studied pairings. This paradigm was used to investigate the impact of two study tasks inspired by research in the domain of higher-order cognition. Specifically, we proposed a benefit in cued recall due to either: 1) articulating a conceptual combination of the two provided concepts, i.e., generating a novel integrative concept that might be referenced by the noun-noun pairing; or 2) articulating a specific proposition about how the two provided concepts could interact by fulfilling the roles of a semantic relationship. To illustrate, a pair of words like "cloth" and "donkey" might be integrated via conceptual combination to refer to a stuffed animal or via relational linking to indicate that a cloth could be draped over a donkey. The control condition in the experimental design was a simple imagery-based support task to allow assessment of the impact of the novel support tasks above and beyond the role of imagery. The results show that both study tasks dramatically improve memory performance.

Our memories are stored not in isolation, but in richly structured networks of knowledge. How are individual memories represented within these knowledge structures, and how do new experiences become integrated into existing structures? To address these questions, we exposed participants to novel objects from a hierarchical category structure. After participants learned these objects to criterion, we introduced new objects from the same underlying structure. Participants learned the new objects much more quickly than the old set, suggesting that recently learned knowledge rapidly scaffolded the learning of new, related information. However, fine-grained analyses of participants’ memory errors suggest these newly learned objects may not be fully integrated into prior learned category structure, but rather are held separate. These results suggest that existing knowledge can facilitate the learning of new information in the absence of assimilation of that information. Ongoing work investigates how these dynamics unfold over time and with sleep.

The precise regulation of gene expression is fundamental to neurodevelopment, plasticity and cognitive function. Although several studies have profiled transcription in the developing human brain, there is a gap in understanding of accompanying translational regulation. In this study, we performed ribosome profiling on 73 human prenatal and adult cortex samples. We characterized the translational regulation of annotated open reading frames (ORFs) and identified thousands of previously unknown translation events, including small ORFs that give rise to human-specific and/or brain-specific microproteins, many of which we independently verified using proteomics. Ribosome profiling in stem-cell-derived human neuronal cultures corroborated these findings and revealed that several neuronal activity-induced non-coding RNAs encode previously undescribed microproteins. Physicochemical analysis of brain microproteins identified a class of proteins that contain arginine-glycine-glycine (RGG) repeats and, thus, may be regulators of RNA metabolism. This resource expands the known translational landscape of the human brain and illuminates previously unknown brain-specific protein products.

People often form impressions of others in contexts where both relatively static demographic cues (e.g., age, race, gender) and situationally flexible, dynamic cues (e.g., emotion expressions) are available. We examined whether and how attending to gender (male, female) versus emotion expression (neutral, smiling) affects threat-based person impressions. In three experiments, we heightened the salience of either gender categories or emotion categories in a sequential priming task. Category salience consistently moderated the use of both categories in threat impressions. The effect of gender (emotion) categories was stronger when attention was directed to gender (emotion) than when attention was directed to emotion (gender); however, category salience did not eliminate the use of either category. Implications for models of person construal and bias in person impressions are discussed.

ObjectivesIdentifying sociocultural correlates of neurocognitive dysfunction among Hispanics/Latinos, and their underlying biological pathways, is crucial for understanding disparities in Alzheimer's disease and related dementias. We examined cross-sectional associations between stress and neurocognition, and the role that metabolic syndrome (MetS) and systemic inflammation might play in these associations.MethodParticipants included 3,045 adults aged 45-75 (56% female, education 0-20+ years, 86% Spanish-speaking, 23% U.S.-born), enrolled in the Hispanic Community Health Study/Study of Latinos and its Sociocultural Ancillary Study. Global neurocognition was the primary outcome and operationalized as the average of the z scores of measures of learning and memory, word fluency, and processing speed. Stress measures included self-report assessments of stress appraisal (perceived and acculturative stress) and exposure to chronic and traumatic stressors. MetS was defined via established criteria including waist circumference, high blood pressure, elevated triglycerides, fasting plasma glucose, and high levels of high-density lipoprotein cholesterol. Systemic inflammation was represented by high-sensitivity C-reactive protein (hs-CRP).ResultsSeparate survey multivariable linear regression models adjusting for covariates showed that higher perceived (b = -0.004, SE = 0.002, p < .05) and acculturative stress (b = -0.004, SE = 0.001, p < .0001) were significantly associated with worse global neurocognition, while lifetime exposure to traumatic stressors was associated with better global neurocognition (b = 0.034, SE = 0.009, p < .001). Neither MetS nor hs-CRP were notable pathways in the association between stress and neurocognition; rather, they were both independently associated with worse neurocognition in models including stress measures (ps < .05).DiscussionThese cross-sectional analyses suggest that stress appraisal, MetS, and systemic inflammation may be targets to reduce neurocognitive dysfunction among Hispanics/Latinos.

Studies supporting a strong association between tau deposition and neuronal loss, neurodegeneration, and cognitive decline have heightened the allure of tau and tau-related mechanisms as therapeutic targets. In February 2020, leading tau experts from around the world convened for the first-ever Tau2020 Global Conference in Washington, DC, co-organized and cosponsored by the Rainwater Charitable Foundation, the Alzheimer's Association, and CurePSP. Representing academia, industry, government, and the philanthropic sector, presenters and attendees discussed recent advances and current directions in tau research. The meeting provided a unique opportunity to move tau research forward by fostering global partnerships among academia, industry, and other stakeholders and by providing support for new drug discovery programs, groundbreaking research, and emerging tau researchers. The meeting also provided an opportunity for experts to present critical research-advancing tools and insights that are now rapidly accelerating the pace of tau research.

AbstractChronic pain is associated with mental and physical health difficulties and is prevalent among veterans. Cannabis has been put forth as a treatment for chronic pain, and changes in laws, attitudes, and use patterns have occurred over the past 2 decades. Differences in prevalence of nonmedical cannabis use and cannabis use disorder (CUD) were examined across 2 groups: veterans or nonveterans and those reporting or not reporting recent pain. Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (2012-2013; n = 36,309) were analyzed using logistic regression. Prevalence differences (PDs) for 3 cannabis outcomes (1) past-year nonmedical cannabis use, (2) frequent (≥3 times a week) nonmedical use, and (3) DSM-5 CUD were estimated for those reporting recent moderate to severe pain (veterans or nonveterans) and veterans reporting or not reporting recent pain. Difference in differences was calculated to investigate PDs on outcomes associated with residence in a state with medical cannabis laws (MCLs). Associations between physical and mental health and cannabis variables were tested. The results indicated that the prevalence of recent pain was greater among veterans (PD = 7.25%, 95% confidence interval (CI) [4.90-9.60]). Among veterans, the prevalence of frequent cannabis use was greater among those with pain (PD = 1.92%, 98% CI [0.21-3.63]), and among veterans residing in a state with MCLs, the prevalence of CUD was greater among those reporting recent pain (PD = 3.88%, 98% CI [0.36-7.39]). Findings failed to support the hypothesis that cannabis use improves mental or physical health for veterans with pain. Providers treating veterans with pain in MCL states should monitor such patients closely for CUD.

Answer ALS is a biological and clinical resource of patient-derived, induced pluripotent stem (iPS) cell lines, multi-omic data derived from iPS neurons and longitudinal clinical and smartphone data from over 1,000 patients with ALS. This resource provides population-level biological and clinical data that may be employed to identify clinical-molecular-biochemical subtypes of amyotrophic lateral sclerosis (ALS). A unique smartphone-based system was employed to collect deep clinical data, including fine motor activity, speech, breathing and linguistics/cognition. The iPS spinal neurons were blood derived from each patient and these cells underwent multi-omic analytics including whole-genome sequencing, RNA transcriptomics, ATAC-sequencing and proteomics. The intent of these data is for the generation of integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease, including subgroup identification. A web portal for open-source sharing of all data was developed for widespread community-based data analytics.

There’s increasing evidence from studies of human performance in artificial classification learning tasks that a plurality of mechanisms or strategies are available to learners. A recent investigation from our lab group found that a linearly-separable category structure was harder to learn than a comparable non-linearly separable structure; and furthermore, that there were qualitative individual differences reflecting different paths to learning. In the present experiment, we take a deeper dive into performance on the LS category structure using a bank of test phase measures to more fully reveal what each individual has learned and represented. We identify a systematic set of profiles to characterize individual learners and demonstrate novel evidence on the nature and role of traditional psychological constructs: exemplars, prototypes, and rules. In particular we show classic prototype effects arising not as a broad-based phenomenon but only from a specific path to learning.Keywords: categorization; tacl: prototype effect; individual differences

In virtually every activity we engage in — from analyzing economic trends, to predicting which of two football teams is more likely to win a game — our minds are tasked with separating signal from noise. Such computations benefit from the fact that our minds are highly attuned to the statistical structure of the world. But how quickly do we detect statistical structure — and to what extent is our sensitivity to structure rooted in perceptual processes? To address this, we asked observers to judge whether briefly presented visual stimuli were generated randomly or non-randomly. In as little as a tenth of a second, people exhibited the same stable biases of statistical perception that they exhibit in classic cognitive tasks (i.e., without time constraints). These results suggest that certain biases of subjective probability may arise not from how we think about randomness, but from how we perceive statistical information in the first place.

BackgroundThe purpose of this study was to evaluate expressive language sampling (ELS) as a procedure for generating spoken language outcome measures for treatment research in Down syndrome (DS). We addressed (a) feasibility, (b) practice effects across two short-term administrations, (c) test-retest reliability across two short-term administrations, (d) convergent and discriminant construct validity, and (e) considered comparisons across the conversation and narration contexts.MethodParticipants were 107 individuals with DS between 6 and 23 years of age who presented with intellectual disability (IQ < 70). The utility of ELS procedures designed to collect samples of spoken language in conversation and narration were evaluated separately. Variables of talkativeness, vocabulary, syntax, utterance planning, and articulation quality, derived from transcripts segmented into C-units (i.e., an independent clause and its modifiers), were considered. A 4-week interval was used to assess practice effects and test-retest reliability. Standardized direct assessments and informant report measures were collected to evaluate construct validity of the ELS variables.ResultsLow rates of noncompliance were observed; youth who were under 12 years of age, had phrase-level speech or less, and had a 4-year-old developmental level or less were at particular risk for experiencing difficulty completing the ELS procedures. Minimal practice effects and strong test-retest reliability across the 4-week test-retest interval was observed. The vocabulary, syntax, and speech intelligibility variables demonstrated strong convergent and discriminant validity. Although significant correlations were found between the variables derived from both the conversation and narration contexts, some differences were noted.ConclusionThe ELS procedures considered were feasible and yielded variables with adequate psychometric properties for most individuals with DS between 6 and 23 years old. That said, studies of outcome measures appropriate for individuals with DS with more limited spoken language skills are needed. Context differences were observed in ELS variables suggest that comprehensive evaluation of expressive language is likely best obtained when utilizing both contexts.

Intergroup biases shape most aspects of person construal, including lower-level visual representations of group members' faces. Specifically, ingroup members' faces tend to be represented more positively than outgroup members' faces. Here, we used a reverse-correlation paradigm to test whether engaging in perspective taking (i.e., actively imagining another person's mental states) can reduce these biased visual representations. In an initial image-generation experiment, participants were randomly assigned to a minimal group and then composed a narrative essay about an ingroup or an outgroup target person, either while adopting the person's perspective or while following control instructions. Afterward, they generated an image of the person's face in a reverse-correlation image-classification task. Subsequent image-assessment experiments using an explicit rating task, a sequential priming task, and an economic trust game with separate samples of participants revealed that ingroup faces elicited more likability and trustworthiness than did outgroup faces. Importantly, this pattern of intergroup bias was consistently weaker in faces created by perspective takers. Additional image-assessment experiments identified the mouth (i.e., smiling cues) as a critical facial region wherein the interactive effects of group membership and perspective taking emerged. These findings provide initial evidence that perspective taking may be an effective strategy for attenuating, though not for eliminating, intergroup biases in visual representations of what group members look like.

We identify the main themes raised in the commentaries and respond. To summarize: Yes, there were problems with social priming (and most other psychological) research; yes, the definition of social priming matters; no, cherry-picking specific studies to replicate does not amount to a systematic examination of the relevant research; yes, within-subjects social priming studies are robust; yes, it is wrong to conflate research reproducibility and misconduct; and, yes, it was personal.

Failures to replicate high-profile priming effects have raised questions about the reliability of so-called “social priming” phenomena. However, not only are many of the relevant studies not particularly social in nature, but other robust priming effects that are clearly social in nature do not count as social priming. Most importantly, the focus on the supposedly social aspect of the work has obscured factors that help to account for the relative reliability of priming effects. Here, we examine the construct of social priming, describe some simple demonstrations on the role of experimental design in priming reproducibility, and discuss future avenues for building a better understanding of priming. We conclude that the term “social priming” should be laid to rest, and that it is time to move past arguments about the reliability of specific effects and shift our energy to building theories that help us better understand the mechanisms underlying priming effects.

This study examined the contribution of the Apgar score at 1 and 5 min after birth to later cognitive functioning in 168 individuals with Down syndrome who were between 6 and 25 years of age at time of cognitive testing. Our results showed that a lower Apgar score at 1 min was related to a worse performance in later cognitive measures of receptive vocabulary, verbal comprehension and production, visual memory and working memory. Results also showed that a lower Apgar score at 5 min was only related to worse later outcomes of verbal comprehension and production and auditory working memory. Our findings suggest a need for future studies investigating how specific perinatal events reflected in the Apgar score are linked to later cognitive functioning in individuals with Down syndrome.

During the 2016 election, Donald Trump castigated unauthorized immigrants as “murderers and rapists.” During his presidency, he continued the use of this rhetoric, explicitly linking unauthorized migrants to threatening narratives. Here, we consider three questions: Did Donald Trump and his immigration positions serve as an “anxiety trigger” for Latina/os? Are individuals with contextually stigmatized attributes especially sensitive to Trump and his policy proposals? Is Spanish language itself, an attribute negatively stigmatized in the context of the immigration issue, sufficient to increase deportation anxiety? Utilizing survey experiments of Latina/os, we demonstrate that exposure to a Trump immigration cue is sufficient to increase anxiety about deportation. We also demonstrate that stigmatized attributes predict anxiety, but do not moderate the effect of the Trump cue. Lastly, we provide evidence that survey language affects anxiety among Latina/os. In Studies 1 (n = 736) and 2 (n = 1,040), we show that exposure to information about Trump’s immigration agenda significantly increases reports about deportation anxiety. In Study 3 (n = 1,734), we show that the Trump exposure condition induces heightened anxiety but that Latina/o attributes (language proficiency and use, immigration status, assessed phenotype) and identity strength have an independent effect on deportation anxiety. In Study 4 (n = 775), we randomized bilingual respondents into Spanish or English language survey protocols and found that comparable bilinguals exposed to Spanish language report higher levels of anxiety compared to English-language survey takers.

In this article, we describe four theoretical and methodological problems that have impeded implicit attitude research and the popular understanding of its findings. The problems all revolve around assumptions made about the relationships among measures (indirect vs. versus direct), constructs (implicit vs. explicit attitudes), cognitive processes (e.g., associative vs. propositional), and features of processing (automatic vs. controlled). These assumptions have confused our understandings of exactly what we are measuring, the processes that produce implicit evaluations, the meaning of differences in implicit evaluations across people and contexts, the meaning of changes in implicit evaluations in response to intervention, and how implicit evaluations predict behavior. We describe formal modeling as one means to address these problems, and provide illustrative examples. Clarifying these issues has important implications for our understanding of who has particular implicit evaluations and why, when those evaluations are likely to be particularly problematic, how we might best try to change them, and what interventions are best suited to minimize the effects of implicit evaluations on behavior.

There is a growing body of evidence to suggest that individuals with Down syndrome (DS) are diagnosed with autism spectrum disorders (ASD) at a higher rate than individuals in the general population. Nonetheless, little is known regarding the unique presentation of ASD symptoms in DS. The current study aims to explore the prevalence and profiles of ASD symptoms in a sample of individuals with DS (n = 83), aged between 6 and 23 years. Analysis of this sample (MAge = 15.13) revealed that approximately 37% of the sample met the classification cut-off for ASD using the Autism Diagnostic Observation Schedule 2 (ADOS-2) Calibrated Severity Score (CSS), an indicator of the participants' severity of ASD-related symptoms. Item-level analyses revealed that multiple items on Module 2 and Module 3 of the ADOS-2, mostly in the Social Affect (SA) subdomain, differentiated the children with DS who did not meet ASD classification (DS-only) from those who did (DS + ASD). Lastly, comparisons of individuals with DS-only and those with DS + ASD differed significantly on the syntactic complexity of their expressive language. These findings shed light on the unique presentation of ASD symptoms in a sample of individuals with DS and suggest that expressive language abilities may play a pivotal role in the presentation of ASD symptoms in DS.

In the original publication of this article [1], the author name Leonard Abbeduto was misspelled as Leonardkk Abbeduto. The original article has been corrected.

BackgroundThe evaluation of treatment efficacy for individuals with fragile X syndrome (FXS) or intellectual disability (ID) more generally has been hampered by the lack of adequate outcome measures. We evaluated expressive language sampling (ELS) as a procedure for generating outcome measures for treatment research in FXS. We addressed: (a) feasibility, (b) practice effects over two administrations, (c) test-retest reliability over the repeated administrations, and (d) construct validity. We addressed these issues for the full sample as well as for subgroups defined by age, IQ, and ASD status.MethodsParticipants were 106 individuals with FXS between ages 6 and 23 years who had IQs within the range of intellectual disability (IQ

The year 2020 marks the 25th anniversary of two seminal publications that have set the foundation for an exponentially growing body of research using implicit measures: Fazio, Jackson, Dunton, and Williams's (1995) work using evaluative priming to measure racial attitudes, and Greenwald and Banaji's (1995) review of implicit social cognition research that served as the basis for the development of the Implicit Association Test (IAT). The current article provides an overview of (1) two conceptual roots that continue to shape interpretations of implicit measures; (2) conflicting interpretations of the term implicit; (3) different kinds of dissociations between implicit and explicit measures; (4) theoretical developments inspired by these dissociations; and (5) research that used implicit measures to address domain-specific and applied questions. We conclude with a discussion of challenges and open questions that remain to be addressed, offering guidance for the next generation of research using implicit measures.

Increased category salience is associated with increased stereotyping. Prior research has not examined the processes that may account for this relationship. That is, it is unclear whether category salience leads to increased stereotyping by increasing stereotype activation (i.e., increased accessibility of stereotypic information), application (i.e., increasing the tendency to apply activated stereotypes), or both processes simultaneously. We examined this question across three studies by manipulating category salience in an implicit stereotyping measure and by applying a process model that provides independent estimates of stereotype activation and application. Our results replicated past findings that category salience increases stereotyping. Modeling results showed that category salience consistently increased the extent of stereotype application but increased stereotype activation in more limited contexts. Implications for models of social categorization and stereotyping are discussed.

Stereotypes can influence social perception in undesirable ways. However, activated stereotypes are not always applied in judgments. The present research investigated how stereotype activation and application processes impact social judgments as a function of available resources for control over stereotypes. Specifically, we varied the time available to intervene in the stereotyping process and used multinomial modeling to independently estimate stereotype activation and application. As expected, social judgments were less stereotypic when participants had more time to intervene. In terms of mechanisms, stereotype application, and not stereotype activation, corresponded with reductions in stereotypic biases. With increasing time, stereotype application was reduced, reflecting the fact that controlling application is time-dependent. In contrast, stereotype activation increased with increasing time, apparently due to increased engagement with stereotypic material. Stereotype activation was highest when judgments were least stereotypical, and thus, reduced stereotyping may coincide with increased stereotype activation if stereotype application is simultaneously decreased.

Initial evaluations generalise to new contexts, whereas counter-attitudinal evaluations are context-specific. Counter-attitudinal information may not change evaluations in new contexts because perceivers fail to retrieve counter-attitudinal cue-evaluation associations from memory outside the counter-attitudinal learning context. The current work examines whether an additional, counter-attitudinal retrieval cue can enhance the generalizability of counter-attitudinal evaluations. In four experiments, participants learned positive information about a target person, Bob, in one context, and then learned negative information about Bob in a different context. While learning the negative information, participants wore a wristband as a retrieval cue for counter-attitudinal Bob-negative associations. Participants then made speeded as well as deliberate evaluations of Bob while wearing or not wearing the wristband. Internal meta-analysis failed to find a reliable effect of the counter-attitudinal retrieval cue on speeded or deliberate evaluations, whereas the context cues influenced speeded and deliberate evaluations. Counter to predictions, counter-attitudinal retrieval cues did not disrupt the generalisation of first-learned evaluations or the context-specificity of second-learned evaluations (Experiments 2-4), but the counter-attitudinal retrieval cue did influence evaluations in the absence of context cues (Experiment 1). The current work provides initial evidence that additional counter-attitudinal retrieval cues fail to disrupt the renewal and generalizability of first-learned evaluations.

Previous research presented a multinomial model to estimate four latent processes (target detection, stereotype activation, stereotype application, guessing) that contribute to responses in the Stereotype Misperception Task, an indirect measure of stereotyping (Krieglmeyer and Sherman, 2012). The present research further investigates the validity of the target detection (D) and stereotype activation (SAC) parameters. To this end, the data from Experiment 2 and Experiment 4 in Krieglmeyer and Sherman (2012) were re-analyzed using a bootstrap method to investigate the robustness of the results. Furthermore, two conceptual replication studies were conducted and analyzed with the same bootstrap method. A manipulation of target distinctness influenced the D parameter as predicted. A manipulation of prime prototypicality influenced the SAC parameter as predicted. Taken together, the results support the validity of the D and SAC model parameters.

In this article, we describe four theoretical and methodological problems that have impeded implicit attitude research and the popular understanding of its findings. The problems all revolve around assumptions made about the relationships among measures (indirect vs. versus direct), constructs (implicit vs. explicit attitudes), cognitive processes (e.g., associative vs. propositional), and features of processing (automatic vs. controlled). These assumptions have confused our understandings of exactly what we are measuring, the processes that produce implicit evaluations, the meaning of differences in implicit evaluations across people and contexts, the meaning of changes in implicit evaluations in response to intervention, and how implicit evaluations predict behavior. We describe formal modeling as one means to address these problems, and provide illustrative examples. Clarifying these issues has important implications for our understanding of who has particular implicit evaluations and why, when those evaluations are likely to be particularly problematic, how we might best try to change them, and what interventions are best suited to minimize the effects of implicit evaluations on behavior.

In increasingly diverse societies, discrimination against social groups and their members continues to be a public and political concern. Research has addressed three basic cognitive processes that precede discrimination: categorization, stereotype/prejudice activation, and stereotype/prejudice application, suggesting that these processes occur in an automatic fashion. However, there are multiple components of automaticity, including unawareness, efficiency, unintentionality, and uncontrollability. Most of the previous research implies that these components of automaticity converge with respect to cognitive antecedents of discrimination. Here, we review evidence on the distinct components of automaticity in order to assess whether (a) categorization, (b) stereotype/prejudice activation, and (c) stereotype/prejudice application occur (1) without awareness, (2) efficiently, and (3) goal-independently. We highlight evidence indicating convergence or divergence of the automaticity components during each of the processing stages. This analysis provides readers with an up-to-date review that helps to evaluate whether a multi-component approach to automaticity is of additional benefit in aggregating knowledge about the cognitive antecedents of discrimination. We discuss open issues and avenues for future research.

Describes how a psychology fieldwork course promoted synergistic relationships between academic and experiential learning components. For one academic year, 15 psychology majors participated in supervised field experiences. Students did individualized reading, prepared weekly progress reports, and received constructive feedback from instructors and fieldwork supervisors. (AM)

Research has found that implementation intentions, if-then action plans (e.g., "if I see a Black face, I will think safe"), reduce stereotyping on implicit measures. However, it is unknown by what process(es) implementation intentions reduce implicit stereotyping. The present research examines the effects of implementation intentions on stereotype activation (e.g., extent to which stereotypic information is accessible) and stereotype application (e.g., extent to which accessible stereotypes are applied in judgment). In addition, we assessed the efficiency of implementation intentions by manipulating cognitive resources (e.g., digit-span, restricted response window) while participants made judgments on an implicit stereotyping measure. Across four studies, implementation intentions reduced implicit stereotyping. This decrease in stereotyping was associated with reductions in both stereotype activation and application. In addition, these effects of implementation intentions were highly efficient and associated with reduced stereotyping even for groups for which people may have little practice inhibiting stereotypes (e.g., gender).

Evidence increasingly suggests that neural structures that respond to primary and secondary rewards are also implicated in the processing of social rewards. The 'Like'-a popular feature on social media-shares features with both monetary and social rewards as a means of feedback that shapes reinforcement learning. Despite the ubiquity of the Like, little is known about the neural correlates of providing this feedback to others. In this study, we mapped the neural correlates of providing Likes to others on social media. Fifty-eight adolescents and young adults completed a task in the MRI scanner designed to mimic the social photo-sharing app Instagram. We examined neural responses when participants provided positive feedback to others. The experience of providing Likes to others on social media related to activation in brain circuity implicated in reward, including the striatum and ventral tegmental area, regions also implicated in the experience of receiving Likes from others. Providing Likes was also associated with activation in brain regions involved in salience processing and executive function. We discuss the implications of these findings for our understanding of the neural processing of social rewards, as well as the neural processes underlying social media use.

The present research sought to provide new insights on the principles guiding the categorization of Black-White multiracial faces at a first encounter. Previous studies have typically measured categorization of multiracial faces using close-ended tasks that constrain available categorizations. Those studies find evidence that perceivers tend to categorize multiracials as Black more often than as White. Two studies used less constrained, implicit (Experiment 1) and explicit categorization (Experiment 2) tasks and found that multiracial faces were most frequently categorized into racial minority groups but not necessarily as Black. These studies suggested a minority bias in multiracial categorizations, whereby multiracials are more frequently categorized as non-White than as White. Experiment 3 provided additional support for the minority bias, showing that participants categorized multiracials as “Not White” more often than as any other category. Participants were also faster to exclude multiracial faces from the White category than from any other racial category. Together, these findings are the first to document the minority bias as a guiding principle in multiracial categorization.

The present research sought to provide new insights on the principles guiding the categorization of Black-White multiracial faces at a first encounter. Previous studies have typically measured categorization of multiracial faces using close-ended tasks that constrain available categorizations. Those studies find evidence that perceivers tend to categorize multiracials as Black more often than as White. Two studies used less constrained, implicit (Experiment 1) and explicit categorization (Experiment 2) tasks and found that multiracial faces were most frequently categorized into racial minority groups but not necessarily as Black. These studies suggested a minority bias in multiracial categorizations, whereby multiracials are more frequently categorized as non-White than as White. Experiment 3 provided additional support for the minority bias, showing that participants categorized multiracials as “Not White” more often than as any other category. Participants were also faster to exclude multiracial faces from the White category than from any other racial category. Together, these findings are the first to document the minority bias as a guiding principle in multiracial categorization.

The predisposition to neuropsychiatric disease involves a complex, polygenic, and pleiotropic genetic architecture. However, little is known about how genetic variants impart brain dysfunction or pathology. We used transcriptomic profiling as a quantitative readout of molecular brain-based phenotypes across five major psychiatric disorders-autism, schizophrenia, bipolar disorder, depression, and alcoholism-compared with matched controls. We identified patterns of shared and distinct gene-expression perturbations across these conditions. The degree of sharing of transcriptional dysregulation is related to polygenic (single-nucleotide polymorphism-based) overlap across disorders, suggesting a substantial causal genetic component. This comprehensive systems-level view of the neurobiological architecture of major neuropsychiatric illness demonstrates pathways of molecular convergence and specificity.

In this chapter, we describe how a simple attentional mechanism can account for a wide variety of phenomena in social perception. According to Attention Theory (Kruschke, 1996, 2003), people preferentially attend to differentiating information in order to maximize category learning. When learning multiple social categories, people attend to all features that characterize the first-learned category but shift their attention to features that uniquely distinguish a later-learned category from the first. As a result, they form a stronger impression of the later-learned social category. First, we review research on attentional processes in stereotype formation and group categorization. We show how Attention Theory can account for both category accentuation and illusory correlation in the formation of majority and minority group stereotypes. We then explain how attention shifting influences face perception and racial categorization. Second, we describe attentional processes as they relate to context-based impression formation and the influence of individual- and group-based expectancies on context-based impressions. Last, we discuss implications for impression change.

Cognitive and social psychologists have long investigated dual-process theories of automaticity and control. These theories seek to explain and predict the conditions under which people can intentionally control their judgments and behavior in the face of impulses produced by biasing and distracting incidental stimuli. Based on this dual-process perspective, cognitive and social psychologists have developed tasks that create conditions under which impulses act in parallel or in opposition to control-oriented processes—commonly referred to as response conflict tasks. Though the response conflict tasks used by cognitive and social psychologists are often structurally similar, researchers from the two disciplines often interpret performance on such tasks in very different ways: Cognitive psychologists tend to focus on the contributions of control-oriented processes, whereas social psychologists generally focus on the contributions of activated mental associations. Both of these interpretations rest on assumptions of process purity: that a response conflict task reflects either control-oriented processes or mental associations. However, this assumption is untenable. Both types of mental processes jointly influence behavioral responses on most response conflict tasks. Multinomial processing tree models are well suited to assess the contributions of multiple cognitive processes to response conflict tasks commonly used in cognitive and social psychology. In this chapter, we review the applications of multinomial processing trees to response conflict tasks, and highlight their utility in bridging interpretive divides that separate cognitive and social psychologists.