Modelling dataset bias in machine-learned theories of economic decision-making.

Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bias. Because participants' choices in stochastically dominated gambles were consistently skewed towards equipreference in the choices13k dataset, we hypothesized that this reflected increased decision noise. Indeed, a probabilistic generative model adding structured decision noise to a neural network trained on data from a laboratory study transferred best, that is, outperformed all models apart from those trained on choices13k. We conclude that a careful combination of theory and data analysis is still required to understand the complex interactions of machine-learning models and data of human risky choices.

The biobehavioral family model and the family relational assessment protocol: Map and GPS for family systems training.

The Biobehavioral Family Model (BBFM) was developed and evolved as a heuristic research model to support the investigation of pathways by which family relational function impacts individual family member wellbeing and disorder. Recently, the BBFM and its related assessment approach, the Family Relational Process Assessment Protocol (FRAP), have emerged as tools for clinical practice and training. The BBFM model will be presented, along with definitions of the dimensions constructed in the model, and research evidence in support of the model. To illustrate how the BBFM and FRAP are used in training, instructions for conducting the FRAP will be presented. Then, transcripts from two contrasting families participating in one of the interaction tasks will illustrate how, in training, the FRAP is interpreted through the BBFM lens to illuminate how these patterns of family relationship impact the identified patient. Finally, three applications of this training approach will exemplify the use of the BBFM and FRAP in the context of a Child and Adolescent Psychiatry Fellowship, a Family Medicine Fellowship, and a Family Therapy Training Program in Istanbul, Turkey. Limitations and future directions for the application of the BBFM in the exploration of multicultural aspects of family function for clinical and training purposes will be discussed.

How the minimalist model of ownership psychology can aid in explaining moral behaviors under resource constraints.

The model of ownership psychology as a cognitive adaptation proposes that people flexibly navigate cognitive systems of cooperation and competition, thus enabling them to justify unethical behavior. We discuss how this model captures previous accounts of unethical behavior and propose that a disengagement heuristic can help us understand recent findings in the interconnection between scarcity psychology and unethical behavior.

Differentiating mental models of self and others: A hierarchical framework for knowledge assessment.

Developing an accurate model of another agent's knowledge is central to communication and cooperation between agents. In this article, we propose a hierarchical framework of knowledge assessment that explains how people construct mental models of their own knowledge and the knowledge of others. Our framework posits that people integrate information about their own and others' knowledge via Bayesian inference. To evaluate this claim, we conduct an experiment in which participants repeatedly assess their own performance (a metacognitive task) and the performance of another person (a type of theory of mind task) on the same image classification tasks. We contrast the hierarchical framework with simpler alternatives that assume different degrees of differentiation between mental models of self and others. Our model accurately captures participants' assessment of their own performance and the performance of others in the task: Initially, people rely on their own self-assessment process to reason about the other person's performance, leading to similar self- and other-performance predictions. As more information about the other person's ability becomes available, the mental model for the other person becomes increasingly distinct from the mental model of self. Simulation studies also confirm that our framework explains a wide range of findings about human knowledge assessment of themselves and others. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

From triple quandary to talent quest: The past, present, and future of A. Wade Boykin's contributions to psychology.

A. Wade Boykin's scholarship has provided key insights into the psychological realities of racially minoritized people and catalyzed revolutionary changes in psychology and education. Combining insights from personal and research experiences, Boykin authored the foundational triple quandary (TQ), a framework describing how Black Americans must navigate the often conflicting values and priorities of dominant mainstream society, the heritage culture of Black communities, and dynamics associated with being racially minoritized. TQ describes the unique developmental challenges faced by Black children, for whom misalignment between home cultural socialization and U.S. schooling often leads to pathologizing mischaracterizations of their attitudes and behaviors, resulting in chronic academic opportunity gaps. Boykin used his training as an experimental psychologist to empirically test the validity and explanatory utility of the TQ framework and to determine whether Black cultural values could be leveraged to improve student learning. Focusing on cultural values such as expressive movement, verve, and communalism, studies with his collaborators consistently supported Boykin's framework and predictions for improving Black student achievement-related outcomes. Beginning in the early 2000s, Boykin and his colleagues began to scale the lessons of decades of empirical work into the talent quest model for school reform. The TQ and talent quest continue to evolve in their application, as scholars and practitioners have found them relevant to a diverse range of minoritized populations in American society and beyond. Boykin's work continues to bear on the scholarship, career outcomes, and day-to-day lives of many scholars, administrators, practitioners and students across disciplines and institutions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Looking within: Elevating Black scholarly contributions to empirical approaches in developmental science.

Over the past century, Black American scholars have designed, applied, and promoted conceptual frameworks and research models that propose nuanced understandings of psychological development. This article highlights examples of their contributions to understanding the differential impact of diverse contextual and situational factors. Through examinations of the psychological effects of Blackness on the development of cognition, competence, identity, and social functioning, Black psychologists outline pathways and provide tools for ecological culturally rooted methodologies. These multidisciplinary approaches run in contrast to dominant trends in the field and thus broaden developmental science's reach and influence. In the 1950s, developmental research by Black psychologists was instrumental to the fight for civil rights. Today, it continues to provide a basis for advancing diversity, equity, inclusion, and justice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Contributions of Black psychology scholars to models of racism and health: Applying intersectionality to center Black women.

Although theoretical and empirical research on the impact of racism on the mental and physical health of African Americans is well established in the literature, there is still a dearth of research that focuses on the role of the intersection of racism and sexism, or gendered racism, on the health of Black women. The purpose of this article is threefold: (a) to review the foundational contributions of Black psychologists to the study of racism and health, (b) to highlight the intellectual contributions of Black feminist scholars to the study of intersectionality in psychology, and (c) to apply an intersectionality framework to research on racism and health by introducing a conceptual Biopsychosocial Model of Gendered Racism to better understand the impact of gendered racism on Black women's health and well-being. This article ends with recommendations for future research, clinical practice, and social justice advocacy centered on Black women's health. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Evolutionary stability of cooperation in indirect reciprocity under noisy and private assessment.

Indirect reciprocity is a mechanism that explains large-scale cooperation in humans. In indirect reciprocity, individuals use reputations to choose whether or not to cooperate with a partner and update others' reputations. A major question is how the rules to choose their actions and the rules to update reputations evolve. In the public reputation case where all individuals share the evaluation of others, social norms called Simple Standing (SS) and Stern Judging (SJ) have been known to maintain cooperation. However, in the case of private assessment where individuals independently evaluate others, the mechanism of maintenance of cooperation is still largely unknown. This study theoretically shows for the first time that cooperation by indirect reciprocity can be evolutionarily stable under private assessment. Specifically, we find that SS can be stable, but SJ can never be. This is intuitive because SS can correct interpersonal discrepancies in reputations through its simplicity. On the other hand, SJ is too complicated to avoid an accumulation of errors, which leads to the collapse of cooperation. We conclude that moderate simplicity is a key to stable cooperation under the private assessment. Our result provides a theoretical basis for the evolution of human cooperation.

Quantitative assessment can stabilize indirect reciprocity under imperfect information.

The field of indirect reciprocity investigates how social norms can foster cooperation when individuals continuously monitor and assess each other's social interactions. By adhering to certain social norms, cooperating individuals can improve their reputation and, in turn, receive benefits from others. Eight social norms, known as the "leading eight," have been shown to effectively promote the evolution of cooperation as long as information is public and reliable. These norms categorize group members as either 'good' or 'bad'. In this study, we examine a scenario where individuals instead assign nuanced reputation scores to each other, and only cooperate with those whose reputation exceeds a certain threshold. We find both analytically and through simulations that such quantitative assessments are error-correcting, thus facilitating cooperation in situations where information is private and unreliable. Moreover, our results identify four specific norms that are robust to such conditions, and may be relevant for helping to sustain cooperation in natural populations.

A dual-path psychosocial model of social determinants of health in the community: Results from the Cause Commune program.

We tested a dual-path psychosocial framework of social vulnerability that considers the impact of socioeconomic resources and cognitive social capital on health, and whether they were mediated by an enabling psychosocial path (collective efficacy) and a disabling path (loneliness). A total of 1401 people (53.6% female, Mage = 48.7, SD = 18.1) from a community in Switzerland participated in the study. Structural equation models showed that psychosocial factors were related to both social determinants and health outcomes and partially mediated their interrelation. Our model showed an adequate fit to the data (χ2 = 1,377.56, df = 341, p = 0.000, comparative fit index = 0.93, root mean square error of approximation = 0.05, standardized root mean-squared residual = 0.05). The findings highlight the role of psychosocial-relational factors in the processes of social vulnerability and would be of interest to researchers working on social vulnerability in the community.

Reputation structure in indirect reciprocity under noisy and private assessment.

Evaluation relationships are pivotal for maintaining a cooperative society. A formation of the evaluation relationships has been discussed in terms of indirect reciprocity, by modeling dynamics of good or bad reputations among individuals. Recently, a situation that individuals independently evaluate others with errors (i.e., noisy and private reputation) is considered, where the reputation structure (from what proportion of individuals in the population each receives good reputations, defined as goodness here) becomes complex, and thus has been studied mainly with numerical simulations. The present study gives a theoretical analysis of such complex reputation structure. We formulate the time change of goodness of individuals caused by updates of reputations among individuals. By considering a large population, we derive dynamics of the frequency distribution of goodnesses. An equilibrium state of the dynamics is approximated by a summation of Gaussian functions. We demonstrate that the theoretical solution well fits the numerical calculation. From the theoretical solution, we obtain a new interpretation of the complex reputation structure. This study provides a novel mathematical basis for cutting-edge studies on indirect reciprocity.

Primate anterior insular cortex represents economic decision variables proposed by prospect theory.

In humans, risk attitude is highly context-dependent, varying with wealth levels or for different potential outcomes, such as gains or losses. These behavioral effects have been modelled using prospect theory, with the key assumption that humans represent the value of each available option asymmetrically as a gain or loss relative to a reference point. It remains unknown how these computations are implemented at the neuronal level. Here we show that macaques, like humans, change their risk attitude across wealth levels and gain/loss contexts using a token gambling task. Neurons in the anterior insular cortex (AIC) encode the 'reference point' (i.e., the current wealth level of the monkey) and reflect 'loss aversion' (i.e., option value signals are more sensitive to change in the loss than in the gain context) as postulated by prospect theory. In addition, changes in the activity of a subgroup of AIC neurons correlate with the inter-trial fluctuations in choice and risk attitude. Taken together, we show that the primate AIC in risky decision-making may be involved in monitoring contextual information used to guide the animal's willingness to accept risk.

Development of a Clinical Reasoning Documentation Assessment Tool for Resident and Fellow Admission Notes: a Shared Mental Model for Feedback.

BACKGROUND: Residents and fellows receive little feedback on their clinical reasoning documentation. Barriers include lack of a shared mental model and variability in the reliability and validity of existing assessment tools. Of the existing tools, the IDEA assessment tool includes a robust assessment of clinical reasoning documentation focusing on four elements (interpretive summary, differential diagnosis, explanation of reasoning for lead and alternative diagnoses) but lacks descriptive anchors threatening its reliability. OBJECTIVE: Our goal was to develop a valid and reliable assessment tool for clinical reasoning documentation building off the IDEA assessment tool. DESIGN, PARTICIPANTS, AND MAIN MEASURES: The Revised-IDEA assessment tool was developed by four clinician educators through iterative review of admission notes written by medicine residents and fellows and subsequently piloted with additional faculty to ensure response process validity. A random sample of 252 notes from July 2014 to June 2017 written by 30 trainees across several chief complaints was rated. Three raters rated 20% of the notes to demonstrate internal structure validity. A quality cut-off score was determined using Hofstee standard setting. KEY RESULTS: The Revised-IDEA assessment tool includes the same four domains as the IDEA assessment tool with more detailed descriptive prompts, new Likert scale anchors, and a score range of 0-10. Intraclass correlation was high for the notes rated by three raters, 0.84 (95% CI 0.74-0.90). Scores ≥6 were determined to demonstrate high-quality clinical reasoning documentation. Only 53% of notes (134/252) were high-quality. CONCLUSIONS: The Revised-IDEA assessment tool is reliable and easy to use for feedback on clinical reasoning documentation in resident and fellow admission notes with descriptive anchors that facilitate a shared mental model for feedback.

Generous with individuals and selfish to the masses.

The seemingly rampant economic selfishness suggested by many recent corporate scandals is at odds with empirical results from behavioural economics, which demonstrate high levels of prosocial behaviour in bilateral interactions and low levels of dishonest behaviour. We design an experimental setting, the 'Big Robber' game, where a 'robber' can obtain a large personal gain by appropriating the earnings of a large group of 'victims'. In a large laboratory experiment (N = 640), more than half of all robbers took as much as possible and almost nobody declined to rob. However, the same participants simultaneously displayed standard, predominantly prosocial behaviour in Dictator, Ultimatum and Trust games. Thus, we provide direct empirical evidence showing that individual selfishness in high-impact decisions affecting a large group is compatible with prosociality in bilateral low-stakes interactions. That is, human beings can simultaneously be generous with others and selfish with large groups.

Children's inequality aversion in intergroup contexts: The role of parents' social dominance orientation, right-wing authoritarianism and moral foundations.

Although children are overall sensitive to inequality and prefer fair allocation of resources, they also often display ingroup favouritism. Inquiring about the factors that can shape the tension between these two driving forces in children, we focused on the role of parents. Extending the limited literature in this field, the present work examined whether individual differences in 3-to 11-year-old White children's (N = 154, 78 boys) evaluations of fair versus pro-ingroup behaviours in an intergroup context vary as a function of both mothers' and fathers' social dominance orientation (SDO), right-wing authoritarianism (RWA), and moral foundations. Parents completed a questionnaire. Children were presented with a scenario in which two ingroup members distributed candies to two other children, one White and one Black, either in an egalitarian way or displaying a clear ingroup favouritism. Afterwards, their attitudes towards the two ingroup members who had distributed the candies were assessed through both an Implicit Association Test and explicit questions. Although children displayed on average an explicit preference for the fair over the pro-ingroup target, this preference did not emerge at the implicit level. Most importantly, both children's explicit and implicit attitudes were related to mothers' SDO, indicating that at increasing level of mothers' SDO children's inequality aversion tended to drop. Overall, these results emphasize the relevance of mothers' support for social hierarchy in relation to the way in which children balance the two competing drives of equality endorsement and pro-ingroup bias.

Atypically larger variability of resource allocation accounts for visual working memory deficits in schizophrenia.

Working memory (WM) deficits have been widely documented in schizophrenia (SZ), and almost all existing studies attributed the deficits to decreased capacity as compared to healthy control (HC) subjects. Recent developments in WM research suggest that other components, such as precision, also mediate behavioral performance. It remains unclear how different WM components jointly contribute to deficits in schizophrenia. We measured the performance of 60 SZ (31 females) and 61 HC (29 females) in a classical delay-estimation visual working memory (VWM) task and evaluated several influential computational models proposed in basic science of VWM to disentangle the effect of various memory components. We show that the model assuming variable precision (VP) across items and trials is the best model to explain the performance of both groups. According to the VP model, SZ exhibited abnormally larger variability of allocating memory resources rather than resources or capacity per se. Finally, individual differences in the resource allocation variability predicted variation of symptom severity in SZ, highlighting its functional relevance to schizophrenic pathology. This finding was further verified using distinct visual features and subject cohorts. These results provide an alternative view instead of the widely accepted decreased-capacity theory and highlight the key role of elevated resource allocation variability in generating atypical VWM behavior in schizophrenia. Our findings also shed new light on the utility of Bayesian observer models to characterize mechanisms of mental deficits in clinical neuroscience.

Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations.

During a psychotherapy session, the counselor typically adopts techniques which are codified along specific dimensions (e.g., 'displays warmth and confidence', or 'attempts to set up collaboration') to facilitate the evaluation of the session. Those constructs, traditionally scored by trained human raters, reflect the complex nature of psychotherapy and highly depend on the context of the interaction. Recent advances in deep contextualized language models offer an avenue for accurate in-domain linguistic representations which can lead to robust recognition and scoring of such psychotherapy-relevant behavioral constructs, and support quality assurance and supervision. In this work, we propose a BERT-based model for automatic behavioral scoring of a specific type of psychotherapy, called Cognitive Behavioral Therapy (CBT), where prior work is limited to frequency-based language features and/or short text excerpts which do not capture the unique elements involved in a spontaneous long conversational interaction. The model focuses on the classification of therapy sessions with respect to the overall score achieved on the widely-used Cognitive Therapy Rating Scale (CTRS), but is trained in a multi-task manner in order to achieve higher interpretability. BERT-based representations are further augmented with available therapy metadata, providing relevant non-linguistic context and leading to consistent performance improvements. We train and evaluate our models on a set of 1,118 real-world therapy sessions, recorded and automatically transcribed. Our best model achieves an F1 score equal to 72.61% on the binary classification task of low vs. high total CTRS.