Annual Review of Psychology - Volume 73, 2022

La pregunta sobre la existencia de características comunes inherentes a la psicología de los pueblos Indígenas de todo el mundo ha sido objeto de mucho debate. Nosotros argumentamos que los pueblos Indígenas comparten la experiencia de la colonización, así como sus consecuencias sociales y psicológicas. Desarrollamos este argumento en cuatro secciones: (a) La historia global de la colonización y las desigualdades sociales; (b) aspectos relativos a la identidad y los procesos grupales, incluidas la transmisión intergeneracional de valores compartidos, la conexión con la naturaleza y la promoción del cambio social; (c) el prejuicio y la discriminación hacia los pueblos Indígenas y el rol que juegan los procesos psicológicos para promover relaciones positivas entre los pueblos Indígenas y no-Indígenas; y (d) el impacto del trauma histórico y del colonialismo en la cognición, la salud mental y el bienestar de los pueblos Indígenas, así como la base para el desarrollo de intervenciones exitosas que integran los conocimientos Indígenas. Por último, abordamos los desafíos futuros de la investigación sobre estos temas.

The mid-twentieth century brought a radical change in how the linguistics community formulated its major goal, moving from a largely taxonomic science to Chomsky's revolution, which conceptualized language as a higher-order cognitive function. This article reviews the paths (not always direct) that brought Lila Gleitman into contact with that revolution, her contributions to it, and the evolution in her thinking about how language is learned by every child, regardless of extreme variation in the input received. To understand how that occurs, we need to discover what must be learned by the child and what is already there to guide that learning—what must be, in Plato's terms, “recollected.” The growing picture shows a learner equipped with information-processing mechanisms that extract evidence about word meanings using various evidential sources. Chief among these are the observational and linguistic-syntactic contexts in which words occur. The former is supported by a mechanism Gleitman and her collaborators call “propose but verify,” and the latter by a mechanism known as “syntactic boot-strapping.”

The ability to prioritize valuable information is critical for the efficient use of memory in daily life. When information is important, we engage more effective encoding mechanisms that can better support retrieval. Here, we describe a dual-mechanism framework of value-directed remembering in which both strategic and automatic processes lead to differential encoding of valuable information. Strategic processes rely on metacognitive awareness of effective deep encoding strategies that allow younger and healthy older adults to selectively remember important information. In contrast, some high-value information may also be encoded automatically in the absence of intention to remember, but this may be more impaired in older age. These different mechanisms are subserved by different neural substrates, with left-hemisphere semantic processing regions active during the strategic encoding of high-value items, and automatic enhancement of encoding of high-value items may be supported by activation of midbrain dopaminergic projections to the hippocampal region.

The decisions we make are shaped by a lifetime of learning. Past experience guides the way that we encode information in neural systems for perception and valuation, and determines the information we retrieve when making decisions. Distinct literatures have discussed how lifelong learning and local context shape decisions made about sensory signals, propositional information, or economic prospects. Here, we build bridges between these literatures, arguing for common principles of adaptive rationality in perception, cognition, and economic choice. We discuss how a single common framework, based on normative principles of efficient coding and Bayesian inference, can help us understand a myriad of human decision biases, including sensory illusions, adaptive aftereffects, choice history biases, central tendency effects, anchoring effects, contrast effects, framing effects, congruency effects, reference-dependent valuation, nonlinear utility functions, and discretization heuristics. We describe a simple computational framework for explaining these phenomena.

Human speech perception results from neural computations that transform external acoustic speech signals into internal representations of words. The superior temporal gyrus (STG) contains the nonprimary auditory cortex and is a critical locus for phonological processing. Here, we describe how speech sound representation in the STG relies on fundamentally nonlinear and dynamical processes, such as categorization, normalization, contextual restoration, and the extraction of temporal structure. A spatial mosaic of local cortical sites on the STG exhibits complex auditory encoding for distinct acoustic-phonetic and prosodic features. We propose that as a population ensemble, these distributed patterns of neural activity give rise to abstract, higher-order phonemic and syllabic representations that support speech perception. This review presents a multi-scale, recurrent model of phonological processing in the STG, highlighting the critical interface between auditory and language systems.

Navigating by path integration requires continuously estimating one's self-motion. This estimate may be derived from visual velocity and/or vestibular acceleration signals. Importantly, these senses in isolation are ill-equipped to provide accurate estimates, and thus visuo-vestibular integration is an imperative. After a summary of the visual and vestibular pathways involved, the crux of this review focuses on the human and theoretical approaches that have outlined a normative account of cue combination in behavior and neurons, as well as on the systems neuroscience efforts that are searching for its neural implementation. We then highlight a contemporary frontier in our state of knowledge: understanding how velocity cues with time-varying reliabilities are integrated into an evolving position estimate over prolonged time periods. Further, we discuss how the brain builds internal models inferring when cues ought to be integrated versus segregated—a process of causal inference. Lastly, we suggest that the study of spatial navigation has not yet addressed its initial condition: self-location.

Traditional brain–machine interfaces decode cortical motor commands to control external devices. These commands are the product of higher-level cognitive processes, occurring across a network of brain areas, that integrate sensory information, plan upcoming motor actions, and monitor ongoing movements. We review cognitive signals recently discovered in the human posterior parietal cortex during neuroprosthetic clinical trials. These signals are consistent with small regions of cortex having a diverse role in cognitive aspects of movement control and body monitoring, including sensorimotor integration, planning, trajectory representation, somatosensation, action semantics, learning, and decision making. These variables are encoded within the same population of cells using structured representations that bind related sensory and motor variables, an architecture termed partially mixed selectivity. Diverse cognitive signals provide complementary information to traditional motor commands to enable more natural and intuitive control of external devices.

The ability to remember events in vivid, multisensory detail is a significant part of human experience, allowing us to relive previous encounters and providing us with the store of memories that shape our identity. Recent research has sought to understand the subjective experience of remembering, that is, what it feels like to have a memory. Such remembering involves reactivating sensory-perceptual features of an event and the thoughts and feelings we had when the event occurred, integrating them into a conscious first-person experience. It allows us to reflect on the content of our memories and to understand and make judgments about them, such as distinguishing events that actually occurred from those we might have imagined or been told about. In this review, we consider recent evidence from functional neuroimaging in healthy participants and studies of neurological and psychiatric conditions, which is shedding new light on how we subjectively experience remembering.

By linking the past with the future, our memories define our sense of identity. Because human memory engages the conscious realm, its examination has historically been approached from language and introspection and proceeded largely along separate parallel paths in humans and other animals. Here, we first highlight the achievements and limitations of this mind-based approach and make the case for a new brain-based understanding of declarative memory with a focus on hippocampal physiology. Next, we discuss the interleaved nature and common physiological mechanisms of navigation in real and mental spacetime. We suggest that a distinguishing feature of memory types is whether they subserve actions for single or multiple uses. Finally, in contrast to the persisting view of the mind as a highly plastic blank slate ready for the world to make its imprint, we hypothesize that neuronal networks are endowed with a reservoir of neural trajectories, and the challenge faced by the brain is how to select and match preexisting neuronal trajectories with events in the world.

Animals navigate a wide range of distances, from a few millimeters to globe-spanning journeys of thousands of kilometers. Despite this array of navigational challenges, similar principles underlie these behaviors across species. Here, we focus on the navigational strategies and supporting mechanisms in four well-known systems: the large-scale migratory behaviors of sea turtles and lepidopterans as well as navigation on a smaller scale by rats and solitarily foraging ants. In lepidopterans, rats, and ants we also discuss the current understanding of the neural architecture which supports navigation. The orientation and navigational behaviors of these animals are defined in terms of behavioral error-reduction strategies reliant on multiple goal-directed servomechanisms. We conclude by proposing to incorporate an additional component into this system: the observation that servomechanisms operate on oscillatory systems of cycling behavior. These oscillators and servomechanisms comprise the basis for directed orientation and navigational behaviors.

Why has computational psychiatry yet to influence routine clinical practice? One reason may be that it has neglected context and temporal dynamics in the models of certain mental health problems. We develop three heuristics for estimating whether time and context are important to a mental health problem: Is it characterized by a core neurobiological mechanism? Does it follow a straightforward natural trajectory? And is intentional mental content peripheral to the problem? For many problems the answers are no, suggesting that modeling time and context is critical. We review computational psychiatry advances toward this end, including modeling state variation, using domain-specific stimuli, and interpreting differences in context. We discuss complementary network and complex systems approaches. Novel methods and unification with adjacent fields may inspire a new generation of computational psychiatry.

Persistence in and timely disengagement from personal goals are core components of successful self-regulation and therefore relevant to well-being and performance. In the history of motivation psychology, there has been a clear emphasis on persistence. Only recently have researchers become interested in goal disengagement, as mirrored by the amount of pertinent research. In this review, we present an overview of the most influential motivational theories on persistence and disengagement that address situational and personal determinants, cognitive and affective mechanisms, and consequences for well-being, health, and performance. Some of these theories use a general approach, whereas others focus on individual differences. The theories presented incorporate classical expectancy-value constructs as well as contemporary volitional concepts of self-regulation. Many of the theoretical approaches have spread to applied fields (e.g., education, work, health). Despite numerous important insights into persistence and disengagement, we also identify several unresolved research questions.

Although a great deal of effort in tasks, projects, and jobs is fueled by our interactions and relationships, psychologists have often overlooked the social forces that shape work motivation. In this review, we examine new developments in research on the interpersonal dynamics that enable and constrain proactivity, persistence, performance, and productivity. The first section examines the impact of competition on work motivation, including the roles of rivalries, favorite versus underdog expectations, and status strivings. The second section focuses on when and how prosocial motivation can drive people to work harder, smarter, safer, and more collaboratively, as well as on the antecedents and collective consequences of this desire to benefit others. The third section centers on motivation in collaborations, emphasizing contagion, social proximity, friendship, and the motivation to lead. Together, these literatures suggest that although rivalries and friendships are double-edged swords, the twin goals to compete and contribute can be harnessed constructively.

Efforts to guide peoples’ behavior toward environmental sustainability, good health, or new products have emphasized informational and attitude change strategies. There is evidence that changing attitudes leads to changes in behavior, yet this approach takes insufficient account of the nature and operation of habits, which form boundary conditions for attitude-directed interventions. Integration of research on attitudes and habits might enable investigators to identify when and how behavior change strategies will be most effective. How might attitudinally driven behavior change be consolidated into lasting habits? How do habits protect the individual against the vicissitudes of attitudes and temptations and promote goal achievement? How might attitudinal approaches aiming to change habits be improved by capitalizing on habit discontinuities and strategic planning? When and how might changing or creating habit architecture shape habits directly? A systematic approach to these questions might help move behavior change efforts from attitude change strategies to habit change strategies.

Early-onset disruptive, aggressive, and antisocial behavior is persistent, can become increasingly serious as children grow older, and is difficult to change. In 2007, our group proposed a theoretical model highlighting the interplay between neurobiological deficits and cognitive and emotional functioning as mediators of the link between genetic influences and early social adversity, on the one hand, and antisocial behavioral problems in childhood, on the other. In this article, we review the post-2007 evidence relevant to this model. We discuss research on genetics/epigenetics, stress/arousal regulation, and emotion and executive functioning in support of the argument that antisocial children, especially those who persist in engaging in antisocial behavior as they grow older, have a range of neuropsychological characteristics that are important in explaining individual differences in the severity and persistence of antisocial behavior. Current clinical practice tends not to acknowledge these individual neuropsychological risk factors or to target them for intervention. We argue that aggressive and disruptive behavior in childhood should be regarded as a neurodevelopmental problem and that intervening at the level of mediating neuropsychological processes represents a promising way forward in tackling these serious behavioral problems.

Contemporary society is facing many social dilemmas—including climate change, COVID-19, and misinformation—characterized by a conflict between short-term self-interest and longer-term collective interest. The climate crisis requires paying costs today to reduce climate-related harms and risks that we face in the future. The COVID-19 crisis requires the less vulnerable to pay costs to benefit the more vulnerable in the face of great uncertainty. The misinformation crisis requires investing effort to assess truth and abstain from spreading attractive falsehoods. Addressing these crises requires an understanding of human cooperation. To that end, we present (a) an overview of mechanisms for the evolution of cooperation, including mechanisms based on similarity and interaction; (b) a discussion of how reputation can incentivize cooperation via conditional cooperation and signaling; and (c) a review of social preferences that undergird the proximate psychology of cooperation, including positive regard for others, parochialism, and egalitarianism. We discuss the three focal crises facing our society through the lens of cooperation, emphasizing how cooperation research can inform our efforts to address them.

In this review, we utilize a narrative approach to synthesize the multidisciplinary literature on diversity training. In examining hundreds of articles on the topic, we discovered that the literature is amorphous and complex and does not allow us to reach decisive conclusions regarding best practices in diversity training. We note that scholars of diversity training, when testing the efficacy of their approaches, too often use proxy measures for success that are far removed from the types of consequential outcomes that reflect the purported goals of such trainings. We suggest that the enthusiasm for, and monetary investment in, diversity training has outpaced the available evidence that such programs are effective in achieving their goals. We recommend that researchers and practitioners work together for future investigations to propel the science of diversity training forward. We conclude with a roadmap for how to create a more rigorous and relevant science of diversity training.

Whether there are common features inherent to the psychology of Indigenous peoples around the globe has been the subject of much debate. We argue that Indigenous peoples share the experience of colonization and its social and psychological consequences. We develop this argument across four sections: (a) the global history of colonization and social inequalities; (b) aspects concerning identity and group processes, including the intergenerational transmission of shared values, the connection with nature, and the promotion of social change; (c) prejudice and discrimination toward Indigenous peoples and the role of psychological processes to improve relations between Indigenous and non-Indigenous peoples; and (d) the impact of historical trauma and colonialism on dimensions including cognition, mental health, and the well-being of Indigenous peoples as well as the basis for successful interventions that integrate Indigenous knowledge. Finally, we address future challenges for research on these topics.

Psychological research in small-scale societies is crucial for what it stands to tell us about human psychological diversity. However, people in these communities, typically Indigenous communities in the global South, have been underrepresented and sometimes misrepresented in psychological research. Here I discuss the promises and pitfalls of psychological research in these communities, reviewing why they have been of interest to social scientists and how cross-cultural comparisons have been used to test psychological hypotheses. I consider factors that may be undertheorized in our research, such as political and economic marginalization, and how these might influence our data and conclusions. I argue that more just and accurate representation of people from small-scale communities around the world will provide us with a fuller picture of human psychological similarity and diversity, and it will help us to better understand how this diversity is shaped by historical and social processes.

Personality psychology, which seeks to study individual differences in thoughts, feelings, and behaviors that persist over time and place, has experienced a renaissance in the last few decades. It has also not been reviewed as a field in the Annual Review of Psychology since 2001. In this article, we seek to provide an update as well as a meta-organizational structure to the field. In particular, personality psychology has a prescribed set of four responsibilities that it implicitly or explicitly tackles as a field: (a) describing what personality is—i.e., what the units of analysis in the field are; (b) documenting how it develops; (c) explaining the processes of personality and why they affect functioning; and (d) providing a framework for understanding individuals and explaining their actions, feelings, and motivations. We review progress made over the last 20 years to address these four agendas and conclude by highlighting future directions and ongoing challenges to the field.

Values play an outsized role in the visions, critiques, and discussions of politics, religion, education, and family life. Despite all the attention values receive in everyday discourse, their systematic study took hold in mainstream psychology only in the 1990s. This review discusses the nature of values and presents the main contemporary value theories, focusing on the theory of basic personal values. We review evidence for the content and the structure of conflict and compatibility among values found across cultures. We discuss the assumptions underlying the many instruments developed to measure values. We then consider the origins of value priorities and their stability or change over time. The remainder of the review presents the evidence for the ways personal values relate to personality traits and subjective well-being and the implications of value differences for religiosity, prejudice, pro- and antisocial behavior, political and environmental behavior, and creativity, concluding with a discussion of mechanisms that link values to behavior.

This article covers recent research activities in educational psychology that have an interdisciplinary emphasis and that accommodate twenty-first-century skills in addition to the traditional foundations of literacy, numeracy, science, reasoning (problem-solving), and academic subject matter. We emphasize digital technologies because they are capable of tracking learning data in rich detail and reliably delivering interventions that are tailored to individual learners in particular sociocultural contexts. This is a departure from inflexible pedagogical approaches that previously have been routinely adopted in most classrooms and other contexts of instruction with no precise record of learning and instructional activities. A good design of educational technology embraces the principles of learning science, identifies the basic types of learning that are needed, implements relevant technological affordances, and accommodates feedback from different stakeholders. This article covers research in literacy, collaborative problem-solving, motivation, emotion, and science, technology, engineering, and mathematics (STEM) areas.

The coronavirus disease 2019 (COVID-19) pandemic poses wide-ranging impacts on the physical and mental health of people around the world, increasing attention from both researchers and practitioners on the topic of resilience. In this article, we review previous research on resilience from the past several decades, focusing on how to cultivate resilience during emerging situations such as the COVID-19 pandemic at the individual, organizational, community, and national levels from a socioecological perspective. Although previous research has greatly enriched our understanding of the conceptualization, predicting factors, processes, and consequences of resilience from a variety of disciplines and levels, future research is needed to gain a deeper and comprehensive understanding of resilience, including developing an integrative and interdisciplinary framework for cultivating resilience, developing an understanding of resilience from a life span perspective, and developing scalable and cost-effective interventions for enhancing resilience and improving pandemic preparedness.

Health disparities by socioeconomic status (SES) have been extensively documented, but less is known about the physical health implications of achieving upward mobility. This article critically reviews the evolving literature in this area, concluding that upward mobility is associated with a trade-off, whereby economic success and positive mental health in adulthood can come at the expense of physical health, a pattern termed skin-deep resilience. We consider explanations for this phenomenon, including prolonged high striving, competing demands between the environments upwardly mobile individuals seek to enter and their environments of origin, cultural mismatches between adaptive strategies from their childhood environments and those that are valued in higher-SES environments, and the sense of alienation, lack of belonging, and discrimination that upwardly mobile individuals face as they move into spaces set up by and for high-SES groups. These stressors are hypothesized to lead to unhealthy behaviors and a dysregulation of biological systems, with implications for cardiometabolic health.

We review the burgeoning literature on the social effects of emotions, documenting the impact of emotional expressions on observers’ affect, cognition, and behavior. We find convergent evidence that emotional expressions influence observers’ affective reactions, inferential processes, and behaviors across various domains, including close relationships, group decision making, customer service, negotiation, and leadership. Affective reactions and inferential processes mediate the effects of emotional expressions on observers’ behaviors, and the relative potency of these mediators depends on the observers’ information processing and the perceived appropriateness of the emotional expressions. The social effects of emotions are similar across expressive modalities (face, voice, body, text, symbols). We discuss the findings in relation to emotional contagion, emotional intelligence, emotion regulation, emotions as social information (EASI) theory, and the functionality of emotions in engendering social influence. Finally, we identify gaps in our current understanding of the topic and call for interdisciplinary collaboration and methodological diversification.

This review focuses on the use of multilevel models in psychology and other social sciences. We target readers who are catching up on current best practices and sources of controversy in the specification of multilevel models. We first describe common use cases for clustered, longitudinal, and cross-classified designs, as well as their combinations. Using examples from both clustered and longitudinal designs, we then address issues of centering for observed predictor variables: its use in creating interpretable fixed and random effects of predictors, its relationship to endogeneity problems (correlations between predictors and model error terms), and its translation into multivariate multilevel models (using latent-centering within multilevel structural equation models). Finally, we describe novel extensions—mixed-effects location–scale models—designed for predicting differential amounts of variability.

Recent evidence suggests that research practices in psychology and many other disciplines are far less effective than previously assumed, which has led to what has been called a “crisis of confidence” in psychological research (e.g., Pashler & Wagenmakers 2012). In response to the perceived crisis, standard research practices have come under intense scrutiny, and various changes have been suggested to improve them. The burgeoning field of metascience seeks to use standard quantitative data-gathering and modeling techniques to understand the reasons for inefficiency, to assess the likely effects of suggested changes, and ultimately to tell psychologists how to do better science. We review the pros and cons of suggested changes, highlighting the many complex research trade-offs that must be addressed to identify better methods.

Replication—an important, uncommon, and misunderstood practice—is gaining appreciation in psychology. Achieving replicability is important for making research progress. If findings are not replicable, then prediction and theory development are stifled. If findings are replicable, then interrogation of their meaning and validity can advance knowledge. Assessing replicability can be productive for generating and testing hypotheses by actively confronting current understandings to identify weaknesses and spur innovation. For psychology, the 2010s might be characterized as a decade of active confrontation. Systematic and multi-site replication projects assessed current understandings and observed surprising failures to replicate many published findings. Replication efforts highlighted sociocultural challenges such as disincentives to conduct replications and a tendency to frame replication as a personal attack rather than a healthy scientific practice, and they raised awareness that replication contributes to self-correction. Nevertheless, innovation in doing and understanding replication and its cousins, reproducibility and robustness, has positioned psychology to improve research practices and accelerate progress.

Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key problem in behavioral sciences is how the mind copes with uncertain information. Quantum probability theory offers a set of principles for inference, which align well with intuition about psychological processes in certain cases: cases when it appears that inference is contextual, the mental state changes as a result of previous judgments, or there is interference between different possibilities. We motivate the use of quantum theory in cognition and its key characteristics. For each of these characteristics, we review relevant quantum cognitive models and empirical support. The scope of quantum cognitive models encompasses fallacies in decision-making (such as the conjunction fallacy or the disjunction effect), question order effects, conceptual combination, evidence accumulation, perception, over-/underdistribution effects in memory, and more. Quantum models often formalize psychological ideas previously expressed in heuristic terms, allow unified explanations of previously disparate findings, and have led to several surprising, novel predictions. We also cast a critical eye on quantum models and consider some of their shortcomings and issues regarding their further development.