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Introduction: Motivation plays a crucial role in the academic success and professional development of medical students. Understanding the intricacies of motivation within the context of medical education is essential for designing effective interventions and support systems. The aim of this study was to explore the adaptation of the Academic Motivation Scale within the framework of the self-determination theory and of the self-efficacy theory to assess motivation among medical students. Methods: The study adapted the Academic Motivation Scale to the Portuguese context, drawing upon insights from the self-determination theory. Two existing Portuguese scales, MATAMS and Ribeiro et al scale, served as foundational frameworks for the adaptation process. The study included qualitative interviews, which informed the creation of the Minho Medical Academic Motivation Scale – Minho-MEDAMS. This scale was applied to 281 medical students. To assess the scale’s validity, we used the exploratory and confirmatory factor analyses, and the Cronbach’s alpha to measure internal consistency. Results: The exploratory factor analysis showed strong results with a KMO of 0.862, leading to five factors and the removal of two items. The initial confirmatory factor analysis indicated poor fit, prompting the removal of items with low R-squared values. The final Minho-MEDAMS includes 18 items: six for intrinsic motivation, nine for extrinsic motivation and three for amotivation. This refined scale demonstrates high internal consistency (α = 0.831), making it a reliable tool for assessing medical students’ motivation. Conclusion: The successful adaptation of the Academic Motivation Scale within the self-determination theory framework presents a valuable instrument for assessing motivation in medical students. The Minho-MEDAMS offers a comprehensive understanding of motivational dynamics, facilitating targeted interventions and support mechanisms to enhance student engagement and success. Its validity and reliability render it a practical tool for educators, administrators, and researchers in the field of medical education. Ultimately, the Minho-MEDAMS contributes to the advancement of strategies aimed at cultivating motivated and proficient healthcare professionals.

Background/Aim. To reduce the risk of burnout development in medical professionals, it is important to identify the contributing factors as early as in their schooling years. The aim of this study was to propose a model for determining the relationship between the coping strategies used by medical high school and medical faculty students and burnout. Methods. The cross-sectional study included 164 students of Medical High School (80.5% female and 19.5% male) and 344 students of the Faculty of Medicine University of Belgrade, Serbia (76.9% female and 23.1% male). The model exploring the relationship between coping strategies (measured by the Brief COPE scale) and burnout [measured by the Copenhagen Burnout Inventory-student version (CBI-S) scale] was tested using structural equation modelling (SEM) analysis. Results. When copied with stress, Medical High School students used Acceptance, Venting, Behavioural Disengagement, and Planning, which increased their burnout, but they did not use any strategies to help them reduce burnout. When copied with stress, Faculty of Medicine students used Planning, Acceptance, Humour, Venting, Behavioural Disengagement, Self-Blame, and Substance Use, which increased their burnout, and Positive Reframing, which helped them reduce burnout. Conclusion. The results of this research showed an evident lack of using adaptive coping strategies with both groups of respondents. Proper education could help them replace these dysfunctional coping strategies with constructive ones.

The degree to which numerous existing models of delusion formation disagree or propose common mechanisms remains unclear. To achieve a comprehensive understanding of delusion aetiology, we summarised 53 theoretical models of delusions extracted from a systematic literature search. We identified central aspects and unique or overarching features of five core perspectives: cognitive (n = 22), associative learning (n = 4), social (n = 6), neurobiological (n = 6), and Bayesian inference (n = 15). These perspectives differ in foci and mechanistic explanations. Whereas some postulate delusions to result from associative and operant learning, others assume a disbalance in the integration of prior beliefs and sensory input or emphasise the relevance of information processing biases. Postulated moderators range from maladaptive generalised beliefs over neurocognitive impairment to dopamine, stress, and affective dysregulation. The models also differ in whether they attempt to explain delusion formation in general or the delusional content (i.e., persecutory). Finally, some models postulate functional aspects of delusions, such as insight relief. Despite their differences, the perspectives converge on the idea that delusions form as an explanation for an experienced ambiguity. Building on this common ground, we propose an integrative framework incorporating essential mechanistic explanations from each perspective and discuss its implications for research and clinical practice., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

This paper explores self-control beyond the framework of time discounting, as is conventional in economics and decision research. Contrary to the notion that self-control failures stem from hyperbolic time discounting or present bias, we argue that self-control problems represent conflicts between the motivational thrusts of affects - i.e., emotions, physiological states, and cognitive motivational feeling states - and deliberations about the best course of behavior. Drawing upon theoretical foundations and empirical evidence, we highlight how affective states can both undermine and necessitate self-control. We critique the temporal discounting model for its inability to account for diverse self-control scenarios and propose that effective self-regulation often involves strategies to avoid or manage affective triggers, thus providing a more comprehensive understanding of self-control mechanisms., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Multinomial processing tree (MPT) models are prominent and frequently used tools to model and measure cognitive processes underlying responses in many experimental paradigms. Although MPT models typically refer to cognitive processes within single individuals, they have often been applied to group data aggregated across individuals. We investigate the conditions under which MPT analyses of aggregate data make sense. After introducing the notions of structural and empirical aggregation invariance of MPT models, we show that any MPT model that holds at the level of single individuals must also hold at the aggregate level when it is both structurally and empirically aggregation invariant. Moreover, group-level parameters of aggregation-invariant MPT models are equivalent to the expected values (i.e., means) of the corresponding individual parameters. To investigate the robustness of MPT results for aggregate data when one or both invariance conditions are violated, we additionally performed a series of simulation studies, systematically manipulating (1) the sample sizes in different trees of the model, (2) model parameterization, (3) means and variances of crucial model parameters, and (4) their correlations with other parameters of the respective MPT model. Overall, our results show that MPT parameter estimates based on aggregate data are trustworthy under rather general conditions, provided that a few preconditions are met., (© 2024. The Author(s).)

We describe a formal model of norm psychology that can be applied to better understand norm change. The model integrates several proximate drivers of normative behavior: beliefs and preferences about a) material payoffs, b) personal norms, c) peer disapproval, d) conformity, and e) authority compliance. Additionally, we review interdisciplinary research on ultimate foundations of these proximate drivers of normative behavior. Finally, we discuss opportunities for integration between the proposed formal framework and several psychological sub-fields., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Non-suicidal self-injury (NSSI) is an emerging concern in the field of public health. The objective of this study is to develop a conditional process model to investigate the relationship between social anxiety and NSSI, and the role of impulsiveness and self-esteem in this relationship. A convenience sample of 2717 university students (M age  = 19.81, 22.49% male) from Southern China was recruited. The age range of the participants is between 18 and 25 years. The data were analysed using Spearman correlation analysis, mediation analysis and moderation analysis. The study revealed a positive correlation between social anxiety and NSSI, with impulsiveness serving as a mediating factor in this association. The relationship between social anxiety and NSSI, impulsiveness and social anxiety, impulsiveness and NSSI were all found to be moderated by self-esteem. The prevalence of NSSI among college students exhibited a strong association with social anxiety and impulsiveness. The present investigation additionally demonstrated that there was no significant association between social anxiety, impulsivity and NSSI when high self-esteem was included. This finding implies that self-esteem plays a crucial role in safeguarding against NSSI., (© 2024 International Union of Psychological Science.)

In the context of the legacy of deficit-focused research and application of theoretical models in research on minoritized groups that are underrepresented in the literature, we explored the strengths-based literature among lesbian, gay, bisexual, transgender, and queer (LGBTQ+) people of color to develop a more inclusive and relevant understanding of how posttraumatic growth (PTG) occurs in this population. Our intersectional PTG model is tailored to the experiences of LGBTQ+ people of color that builds upon previous models of PTG, intersectionality theory, and empirical findings of trauma and PTG among LGBTQ+ people of color. Our intersectional PTG model incorporates the unique intrapersonal, interpersonal, institutional, and cultural factors that are unique to this population and contribute to PTG. We challenge the limited scope of Criterion A traumatic events and emphasize empirical findings that support that LGBTQ+ people of color often experience posttraumatic stress after oppression and discrimination. Our model also recognizes the impact of intersecting risk factors, such as gendered racism, that may occur on various levels. Our model acknowledges that LGBTQ+ people of color have often demonstrated PTG in the face of adversity. Intrapersonal factors such as cognitive flexibility, interpersonal factors such as social support, and institutional and cultural factors such as identity-related activism are identified as key contributors to resilience. We discuss practice implications, highlighting that clinicians should recognize limitations of traditional trauma frameworks and adopt culturally sensitive approaches when working with LGBTQ+ people of color. Overall, our model provides a foundation for strengths-based interventions and research, emphasizing resiliency and potential for PTG in this population., (© 2024 Wiley Periodicals LLC.)

Attentional set shifting refers to the ease with which the focus of attention is directed and switched. Cognitive tasks, such as the widely used CANTAB IED, reveal great variation in set shifting ability in the general population, with notable impairments in those with psychiatric diagnoses. The attentional and learning processes underlying this cognitive ability and how they lead to the observed variation remain unknown. To directly test this, we used a modelling approach on two independent large-scale online general-population samples performing CANTAB IED, with one including additional psychiatric symptom assessment. We found a hierarchical model that learnt both feature values and dimension attention best explained the data and that compulsive symptoms were associated with slower learning and higher attentional bias to the first relevant stimulus dimension. These data showcase a new methodology to analyse data from the CANTAB IED task, as well as suggest a possible mechanistic explanation for the variation in set shifting performance, and its relationship to compulsive symptoms., (© 2024. The Author(s).)

Faking in self-report personality questionnaires describes a deliberate response distortion aimed at presenting oneself in an overly favorable manner. Unless the influence of faking on item responses is taken into account, faking can harm multiple psychometric properties of a test. In the present article, we account for faking using an extension of the multidimensional nominal response model (MNRM), which is an item response theory (IRT) model that offers a flexible framework for modeling different kinds of response biases. Particularly, we investigated under which circumstances the MNRM can adequately adjust substantive trait scores and latent correlations for the influence of faking and examined the role of variation in the way item content is related to social desirability (i.e., item desirability characteristics) in facilitating the modeling of faking and counteracting its detrimental effects. Using a simulation, we found that the inclusion of a faking dimension in the model can overall improve the recovery of substantive trait person parameters and latent correlations between substantive traits, especially when the impact of faking in the data is high. Item desirability characteristics moderated the effect of modeling faking and were themselves associated with different levels of parameter recovery. In an empirical demonstration with N = 1070 test-takers, we also showed that the faking modeling approach in combination with different item desirability characteristics can prove successful in empirical questionnaire data. We end the article with a discussion of implications for psychological assessment., (© 2024. The Author(s).)

Robust associations of self-control with successful goal pursuit have been amply demonstrated. Much less is known about the psychological processes that occur when people grapple with self-control conflicts and that may contribute to successful goal pursuit. Influenced by the neighboring fields of emotion regulation and coping, self-regulatory flexibility has been identified as one of such potential processes. The aim of this review is to provide an overview of selected models of regulatory flexibility, empirical evidence on associations with self-regulatory success, and to identify avenues for future research., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Social decision-making is guided by a complex set of social norms. Computational modeling can play a significant role in enriching our understanding of these norms and how precisely they direct social choices. Here, we highlight three major advantages to using computational modeling, particularly models derived from Utility Theory, in the study of social norms. We illustrate how such models can help generate detailed processes of decision-making, enforce theoretical precision by delineating abstract concepts, and unpack when, and why, people adhere to specific social norms. For each benefit, we discuss a recent study which has employed modeling in the service of assessing the role of norms in decision-making, collectively revealing how computational modeling enables better prediction, description, and explanation of important social choices., Competing Interests: Declaration of competing interest None of the authors declares any conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The current study replicated and extended the gratitude model of body appreciation and intuitive eating in Chinese women. Using a sample of 957 young Chinese women, Structural Equation Modeling (SEM) was employed to test two previously established models derived from samples of American (original model) and Japanese (modified model) women. Results indicated that the modified model had a better fit and was largely replicated in the Chinese context. Higher gratitude was associated with lower appearance and others' approval of self-worth, higher body appreciation, and greater intuitive eating. Also, we further extended the model by exploring whether and how the model could explain intuitive eating facets. Results showed unique links between the core variables in the model and each facet of intuitive eating. Specifically, findings of the excellent model fit indicate that interventions focused on cultivating gratitude may be promising in promoting body appreciation and intuitive eating in young Chinese women. Also, interventions based on the model might be modified to address specific facets of intuitive eating, which may enhance the effectiveness of future interventions. Future research should use longitudinal and experimental designs and develop culturally adapted models to advance our understanding of how the gratitude model of body appreciation and intuitive eating applies to Chinese women., Competing Interests: Declaration of competing interest The authors have no conflict(s) of interest to declare., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Perception has long been envisioned to use an internal model of the world to explain the causes of sensory signals. However, such accounts have historically not been testable, typically requiring intractable search through the space of possible explanations. Using auditory scenes as a case study, we leveraged contemporary computational tools to infer explanations of sounds in a candidate internal generative model of the auditory world (ecologically inspired audio synthesizers). Model inferences accounted for many classic illusions. Unlike traditional accounts of auditory illusions, the model is applicable to any sound, and exhibited human-like perceptual organization for real-world sound mixtures. The combination of stimulus-computability and interpretable model structure enabled 'rich falsification', revealing additional assumptions about sound generation needed to account for perception. The results show how generative models can account for the perception of both classic illusions and everyday sensory signals, and illustrate the opportunities and challenges involved in incorporating them into theories of perception., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Unfolding item response theory (IRT) models are important alternatives to dominance IRT models in describing the response processes on self-report tests. Their usage is common in personality measures, since they indicate potential differentiations in test score interpretation. This paper aims to gain a better insight into the structure of trait personality, by investigating whether the dominance or alternatively the unfolding IRT model are better descriptors of the response processes on a personality measure constructed under the dominance response theorem. For the assessment of the dominant model, the Graded Response Model (GRM) is used; while for the unfolding model, the Generalized Graded Unfolding Model (GGUM) was examined. All analyses are conducted with the freely available R. A sample of 1340 Greek adults, employed in private and public organizations, fulfilled the Trait Personality Questionnaire 5 short-form (TPQue5). Findings contradict previous research on trait personality. In accordance to the construction method employed, the TPQue5 items are best understood by monotonically increasing item response functions (IRFs). Individuals responding to the TPQue5 increase their probability of endorsing its items as their trait level increases; this stands for all personality dimensions, although Openness to Experience exhibited mixed type of item response patterns. Further research directions, implications and limitations are also discussed., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Despite the influence of the integrated motivational-volitional (IMV) 1 model on research and practice, the supporting literature has not been systematically synthesised. This systematic review aims to synthesise the literature testing the IMV model of suicidal behaviour. Using citation and database searching, PsycINFO, EMBASE, PubMed, Web of Science, and Google Scholar were searched for studies referencing the IMV model (last searched on 28th March 2023). Included studies empirically tested the hypotheses of the model. Quality assessment was conducted using the National Institute of Health tool. Findings from 98 records (100 studies, 138,365 participants) were narratively synthesised. Results from studies directly testing the hypothesised pathways of the model supported the defeat-entrapment-suicidal ideation pathway of the IMV model. Case-control studies comparing differences between control, ideation, and enactment groups were consistent with hypotheses in univariate and cross-sectional analyses. However, support for the model was mixed for case-control multivariate and prospective studies. Due to low overlap in variables studied, the role of specific pre-motivational phase variables and stage-specific moderators was inconclusive. The studies received overall good quality ratings. The IMV model presents a promising framework for understanding and preventing suicide. Defeat, entrapment, and key variables may be useful in informing suicide prevention measures.

Emerging adulthood is a pivotal period for romantic relationships, yet the specific mechanisms through which attachment anxiety influences relationship dynamics and psychological outcomes in this phase are poorly understood. Particularly, in the context of romantic dyads, understanding how partners' behaviors and emotional patterns reciprocally influence each other remains underexplored. This study utilizes the Actor-Partner Interdependence Model and Actor-Partner Interdependence Mediator Model to explore the relationship between attachment anxiety,relational aggression (both perpetration and victimization), and depressive symptoms among emerging adults. A sample of 138 mixed-sex emerging adulthood couples from China, was recruited (M age  = 21.40, SD = 2.54; 50% female, 62.6% reporting that this relationship was ongoing for more than a year). Attachment anxiety significantly predicted relational aggression in both partners, with male attachment anxiety also significantly predicted female relational aggression. Significant indirect effects of both partners' relational aggression perpetration and victimization on their own and each other's relationship between attachment anxiety and depressive symptoms. These findings contribute to understanding the intricate dynamics of attachment anxiety and relational aggression in romantic relationships during emerging adulthood, emphasizing the need for targeted interventions to mitigate these risks., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Grit, defined as passion and perseverance to achieve long-term goals, has been associated with adolescents' optimal academic and psychological functioning. However, the role of grit in adolescents' positive youth development (PYD)-characterized by the 5Cs known as competence, confidence, connection, character, and caring-remains unknown. Using latent cross-lagged panel modeling, this study examined the longitudinal relations between the triarchic model of grit (TMG) dimensions (i.e., perseverance of effort, consistency of interest, and adaptability to situations), and the 5Cs of PYD while controlling for specific socio-demographic covariates (gender, age, SES, and school type). Data were obtained from 1620 Filipino adolescents (M age  = 17.15; SD age  = 1.00) in November 2021 and May 2022. Results show that grit dimensions predicted subsequent PYD dimensions, but not vice versa. Specifically, while perseverance and adaptability were linked to higher levels of competence, confidence, and character, consistency was associated with lower levels of competence and confidence six months later. Results highlight the importance of grit's dimensions in facilitating PYD characteristics among adolescents, especially efficacy-related Cs (competence and confidence). Theoretical and practical implications in promoting adolescent thriving and well-being are discussed., (© 2024 The Author(s). Journal of Research on Adolescence published by Wiley Periodicals LLC on behalf of Society for Research on Adolescence.)

Weight stigma is salient across the preconception, pregnancy, and postpartum (PPP) periods because of prevailing prescriptive norms and expectations about weight and weight gain during the reproductive period. Weight stigma is associated with negative physical and psychological health outcomes for mother and child. A clearly defined, multi-level conceptual model for interventions, research, and policy is critical to mitigating the adverse effects of weight stigma in PPP populations. Conceptual models of weight stigma towards PPP women have advanced our understanding of this issue and guided evidence accumulation but there remains a gap in informing the translation of evidence into action. Guided by evidence-based paradigms for conceptual model development, this paper has two primary objectives. First, we review and summarise theories, frameworks, and models from the PPP population and general literature to inform our understanding of the development and perpetuation of weight stigma for PPP women. Second, we propose a novel comprehensive intervention-guiding conceptual model that draws from and synthesises across multiple disciplines - the SWIPE (Stigma of Weight In the PPP Experience) model. This conceptual model will help to plan coordinated, multi-layered, and effective strategies to reduce and ultimately eliminate weight stigma for PPP women.

Lesbians, gays, bisexuals, and transgender individuals (LGBT) are at high risk for suicide. This study aimed to examine an integrative psychological model of risk factors among LGBT individuals and explore the psychological pathways connecting social stigma, mental pain, and interpersonal characteristics to suicidal ideation and behavior (SIB) in this population. LGBT adults ( N = 473) responded to an online questionnaire about stigma, mental pain, interpersonal characteristics, as well as suicidal ideation and behaviors. We found group differences between LGBT respondents in the study variables: Transgender people reported the highest levels of SIB and depression, closely followed by bisexuals. The association between stigma-related variables and SIB was mediated by depression, entrapment, and perceived burdensomeness. These results highlight the role of entrapment and burdensomeness in facilitating suicide risk among LGBT adults, as they may increase the damaging effect of negative societal stigma against LGBTs and thus, elevate the suicide risk in this population., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Parent-adolescent emotion dynamics have attracted increasing attention in recent years because adolescence is a challenging period for both adolescents and parents. However, how emotions are coconstructed between parents and adolescents is less clear. This study examined whether mothers' and adolescents' emotion regulation strategy was linked with their own and each other's depression using the actor-partner interdependence model (APIM). The participants were 173 mother-adolescent pairs (Mother: M age  = 43.05 years old, SD = 3.78; Adolescent: M age  = 13.00 years old, SD = 0.90). The results showed that the more mothers used cognitive reappraisal, the lower their depression levels were; and the more mothers and adolescents used expressive suppression, the higher their levels of depression were. Additionally, maternal expressive suppression was associated with adolescent depressive symptoms. Moreover, the results revealed that for mothers with higher levels of expressive suppression, their adolescents' usage of expressive suppression was significantly positively related to adolescents' depression, while for those mothers with lower levels of expressive suppression, there was no significant correlation between adolescents' usage of expressive suppression and depression. The findings underscore the significance of recognising the interdependence and interconnected nature of emotions within parent-adolescent relationships for a comprehensive understanding of their emotional well-being., (© 2024 International Union of Psychological Science.)

Since Stern first started his work in 1938, the field has recognized several empirically supported models of the etiology of borderline personality disorder (BPD). Two such models are the Tripartite Model of the Development of BPD and the Biosocial Development Model of BPD. The Tripartite Model of the Development of BPD suggests that it is a combination of a hyperbolic temperament, traumatic childhood experiences, and an event or series of events that trigger the onset of BPD. Whereas the Biosocial Development Model of BPD elaborates on the work of Linehan's Biosocial Theory. This model suggests a combination of an emotionally vulnerable temperament and an invalidating environment cause BPD. Over 70 years of research support these models. This article covers a detailed description of each of these models, the decades of research supporting these models, similarities, differences, treatment implications, the latest research, and future directions., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The Bayesian confidence hypothesis (BCH), which postulates that confidence reflects the posterior probability that a decision is correct, is currently the most prominent theory of confidence. Although several recent studies have found evidence against it in the context of relatively complex tasks, BCH remains dominant for simpler tasks. The major alternative to BCH is the confidence in raw evidence space (CRES) hypothesis, according to which confidence is based directly on the raw sensory evidence without explicit probability computations. Here, we tested these competing hypotheses in the context of perceptual tasks that are assumed to induce Gaussian evidence distributions. We show that providing information about task difficulty gives rise to a basic behavioral signature that distinguishes BCH from CRES models even for simple 2-choice tasks. We examined this signature in three experiments and found that all experiments exhibited behavioral signatures in line with CRES computations but contrary to BCH ones. We further performed an extensive comparison of 16 models that implemented either BCH or CRES confidence computations and systematically differed in their auxiliary assumptions. These model comparisons provided overwhelming support for the CRES models over their BCH counterparts across all model variants and across all three experiments. These observations challenge BCH and instead suggest that humans may make confidence judgments by placing criteria directly in the space of the sensory evidence., Competing Interests: Competing interests statement:The authors declare no competing interest.

Indirect reciprocity is a key explanation for the exceptional magnitude of cooperation among humans. This literature suggests that a large proportion of human cooperation is driven by social norms and individuals' incentives to maintain a good reputation. This intuition has been formalized with two types of models. In public assessment models, all community members are assumed to agree on each others' reputations; in private assessment models, people may have disagreements. Both types of models aim to understand the interplay of social norms and cooperation. Yet their results can be vastly different. Public assessment models argue that cooperation can evolve easily and that the most effective norms tend to be stern. Private assessment models often find cooperation to be unstable, and successful norms show some leniency. Here, we propose a model that can organize these differing results within a single framework. We show that the stability of cooperation depends on a single quantity: the extent to which individual opinions turn out to be correlated. This correlation is determined by a group's norms and the structure of social interactions. In particular, we prove that no cooperative norm is evolutionarily stable when individual opinions are statistically independent. These results have important implications for our understanding of cooperation, conformity, and polarization., Competing Interests: Competing interests statement:The authors declare no competing interest.

Objectives: To investigate the relationships between life events and psychological distress in the postepidemic era as well as the effects of fear of COVID-19 (FCV-19) and impermanence on these relationships to enrich the study of the underlying psychological mechanisms of postepidemic psychological distress and to provide a theoretical basis for scientific prevention and intervention in individuals with psychological distress., Methods: A survey of 504 adults (71.3% female; age M = 26.87, SD = 10.70) was conducted via the Social Readjustment Rating Scale, the FCV-19 Scale, the Impermanence Scale, the Anxiety Scale and the Depression Scale, and a structural equation model was established to explore the relationships between variables., Results: The present study revealed the following: (1) there is a significant positive correlation between life events and psychological distress; (2) FCV-19 completely mediates the relationship between life events and psychological distress; and (3) impermanence moderates the mediation, regulating the path by which life events affect FCV-19 and the path by which FCV-19 affects psychological distress., Conclusions: In the postepidemic era, impermanence can effectively mitigate the impact of life events on FCV-19 and the impact of FCV-19 on psychological distress., Competing Interests: Declarations Ethics approval and consent to participate The study was performed in line with the ethical standards set out in the 1964 Declaration of Helsinki and its later amendments. The Ethics Committee of the Third Affiliated Hospital of Chongqing Medical University reviewed and approved all procedures used in this study on April 9, 2021. Informed consent was obtained from all participants. Consent for publication Not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Contrary to common intuition, a group of people recalling information together remembers less than the same number of individuals recalling alone (i.e., the collaborative inhibition effect). To understand this effect in a free recall task, we build a computational model of collaborative recall in groups, extended from the Context Maintenance and Retrieval (CMR) model, which captures how individuals recall information alone. We propose that in collaborative recall, one not only uses their previous recall as an internal retrieval cue, but one also listens to someone else's recall and uses it as an external retrieval cue. Attending to this cue updates the listener's context to be more similar to the context of someone else's recall. Over an existing dataset of individual and collaborative recall in small and large groups, we show that our model successfully captures the difference in memory performance between individual recall and collaborative recall across different group sizes from 2 to 16, as well as additional recall patterns such as recency effects and semantic clustering effects. Our model further shows that collaborating individuals reach similar areas in the context space, whereby their contexts converge more than the contexts of individuals recalling alone. This convergence constrains their ability to search memories effectively and is negatively associated with recall performance. We discuss the contributions of our modeling results in relation to previous accounts of the collaborative inhibition effect., Competing Interests: Declarations Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Objective: This study aims to examine the relationship and mechanism between sense of self and nonsuicidal self-injury among college students, providing a new theoretical basis for predicting and preventing such behavior., Methods: A total of 1350 college students completed the Sense of Self scale, nonsuicidal self-injury questionnaire, frustration scale, and social problem-solving questionnaire., Results: (1) Negative Sense of Self predicts frustration, and frustration positively predicts nonsuicidal self-injury. (2) Frustration serves as a partial mediator in the relationship between sense of self and nonsuicidal self-injury. (3) The impulsive-negligent social problem-solving style regulates the first half of the mediation model by influencing the relationship between sense of self and frustration., Conclusion: Frustration, mediated by sense of self, increases the risk of nonsuicidal self-injury, and this relationship is moderated by the impulsive-negligent social problem-solving style. Sense of Self is a necessary but not sufficient condition for nonsuicidal self-injury, indirectly influencing such behavior through frustration triggered by stress events., Competing Interests: Declarations Ethics approval and consent to participate The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Jiangxi Education Department (protocol code 21YB008 and 2021/01 of approval). Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Background and Hypothesis: Cognitive control deficits are prominent in individuals with psychotic psychopathology. Studies providing evidence for deficits in proactive control generally examine average performance and not variation across trials for individuals-potentially obscuring detection of essential contributors to cognitive control. Here, we leverage intertrial variability through drift-diffusion models (DDMs) aiming to identify key contributors to cognitive control deficits in psychosis., Study Design: People with psychosis (PwP; N = 122), their first-degree biological relatives (N = 78), and controls (N = 50) each completed 120 trials of the dot pattern expectancy (DPX) cognitive control task. We fit full hierarchical DDMs to response and reaction time (RT) data for individual trials and then used classification models to compare the DDM parameters with conventional measures of proactive and reactive control., Study Results: PwP demonstrated slower drift rates on proactive control trials suggesting less efficient use of cue information. Both PwP and relatives showed protracted nondecision times to infrequent trial sequences suggesting slowed perceptual processing. Classification analyses indicated that DDM parameters differentiated between the groups better than conventional measures and identified drift rates during proactive control, nondecision time during reactive control, and cue bias as most important. DDM parameters were associated with real-world functioning and schizotypal traits., Conclusions: Modeling of trial-level data revealed that slow evidence accumulation and longer preparatory periods are the strongest contributors to cognitive control deficits in psychotic psychopathology. This pattern of atypical responding during the DPX is consistent with shallow basins in attractor dynamic models that reflect difficulties in maintaining state representations, possibly mediated by excess neural excitation or poor connectivity., (Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center 2024.)

Hierarchical model-based reinforcement learning (HMBRL) aims to combine the sample efficiency of model-based reinforcement learning with the abstraction capability of hierarchical reinforcement learning. While HMBRL has great potential, the structural and conceptual complexities of current approaches make it challenging to extract general principles, hindering understanding and adaptation to new use cases, and thereby impeding the overall progress of the field. In this work we describe a novel HMBRL framework and evaluate it thoroughly. We construct hierarchical world models that simulate the environment at various levels of temporal abstraction. These models are used to train a stack of agents that communicate top-down by proposing goals to their subordinate agents. A significant focus of this study is the exploration of a static and environment agnostic temporal abstraction, which allows concurrent training of models and agents throughout the hierarchy. Unlike most goal-conditioned H(MB)RL approaches, it also leads to comparatively low dimensional abstract actions. Although our HMBRL approach did not outperform traditional methods in terms of final episode returns, it successfully facilitated decision-making across two levels of abstraction. A central challenge in enhancing our method's performance, as uncovered through comprehensive experimentation, is model exploitation on the abstract level of our world model stack. We provide an in depth examination of this issue, discussing its implications and suggesting directions for future research to overcome this challenge. By sharing these findings, we aim to contribute to the broader discourse on refining HMBRL methodologies., (© 2024. The Author(s).)

Humans use environmental context for facilitating object searches. The benefit of context for visual search requires learning. Modeling the learning process of context for efficient processing is vital to understanding visual function in everyday environments. We proposed a model that accounts for the contextual cueing effect, which refers to the learning effect of scene context to identify the location of a target item. The model extracted the global feature of a scene and gradually strengthened the relationship between the global feature and its target location with repeated observations. We compared the model and human performance with two visual search experiments (letter arrangements on a gray background or a natural scene). The proposed model successfully simulated the faster reduction of the number of saccades required before target detection for the natural scene background compared with the uniform gray background. We further tested whether the model replicated the known characteristics of the contextual cueing effect in terms of local learning around the target, the effect of the ratio of repeated and novel stimuli, and the superiority of natural scenes.

The main goal of the current study is to broaden the knowledge on the association between personality, subjective well-being (SWB) and technostress in an academic context. This research specifically examines the prevalence of technostress in a European university sample. It also explores the relationship between technostress and its dimensions with the Big Five model of personality and with SWB and its affective and cognitive components. Finally, the combined predictive validity of the Big Five and SWB on technostress is tested. The sample was composed of 346 undergraduate students. Correlational and multiple regression analyses were carried out. Results show that fatigue and anxiety are the most frequently experienced dimensions of technostress. Emotional stability, openness to experience, and SWB are negatively and significantly correlated to technostress. Multiple regression analyses show that the Big Five factors and SWB account for technostress variance, the main predictor being the affective component of SWB. These results contribute to a more comprehensive understanding of technostress and suggest that personality traits and SWB are important factors in its prediction. The theoretical and practical implications will be discussed., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Cuadrado et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Tulving's concept of mental time travel (MTT), and the related distinction of episodic and semantic memory, have been highly influential contributions to memory research, resulting in a wealth of findings and a deeper understanding of the neurocognitive correlates of memory and future thinking. Many models have conceptualized episodic and semantic representations as existing on a continuum that can help to account for various hybrid forms. Nevertheless, in most theories, MTT remains distinctly associated with episodic representations. In this article, we review existing models of memory and future thinking, and critically evaluate whether episodic representations are distinct from other types of explicit representations, including whether MTT as a neurocognitive capacity is uniquely episodic. We conclude by proposing a new framework, the Multidimensional Model of Mental Representations (MMMR), which can parsimoniously account for the range of past, present and future representations the human mind is capable of creating. This article is part of the theme issue 'Elements of episodic memory: lessons from 40 years of research'.

Episodic memories are experienced as belonging to a self that persists in time. We review evidence concerning the nature of human episodic memory and of the sense of self and how these emerge during development, proposing that the younger child experiences a persistent self that supports a subjective experience of remembering. We then explore recent research in cognitive architectures for robotics that has investigated the possibility of forms of synthetic episodic and autobiographical memory. We show that recent advances in generative modeling can support an understanding of the emergence of self and of episodic memory, and that cognitive architectures which include a language capacity are showing progress towards the construction of a narrative self with autobiographical memory capabilities for robots. We conclude by considering the prospects for a more complete model of mental time travel in robotics and the implications of this modeling work for understanding human episodic memory and the self in time. This article is part of the theme issue 'Elements of episodic memory: lessons from 40 years of research'.

Resilience has been defined as the maintenance or quick recovery of mental health during and after stressor exposure. One popular operationalization of this concept is to model prototypical trajectories of mental health in response to an adverse event, where trajectories of undisturbed low or rapidly recovering symptoms both comply with the resilience definition. However, mental health responses are likely also influenced by other stressors occurring before or during the observation time window. These "background" stressors may affect a person's assignment to a trajectory class. When using these classes as dependent variables to identify resilience-predictive factors, this may lead to false estimates. A new method to build exposure-controlled trajectories based on time courses of stressor reactivity (SR), rather than pure mental health scores, is demonstrated on a data set of 707 initially healthy participants living in Germany (67.33% female; Mage = 29.20, SD = 8.27). SR scores express individual deviations from the sample's normative mental health reaction to observed real-life stressors during the observation time window, thus accounting for individual differences in exposure to background stressors. The resulting trajectory models are plausible. In analyses additionally controlling for background stressors occurring before the observation time window (past life events), low SR trajectories are predicted by the well-documented resilience factor sense of coherence, suggesting construct validity. Further, they are associated with lower odds of developing categorical mental health conditions, suggesting predictive validity. Our study provides the first proof of principle for a refined method to identify predictors of resilience to major stressor events. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

As the United States contends with racism and a social justice reckoning, the need to advance our understanding of how to build structural resilience continues to be pressing. This article proposes a culturally and structurally informed model of resilience for individuals with minoritized identities that integrates social-ecological and minority stress models. First, common stressors and traumas experienced by minoritized individuals at multiple levels of proximal/distal influence are reviewed: microsystem (e.g., family rejection), mesosystem (e.g., community-based discrimination), exosystem (e.g., barriers to health care), macrosystem (e.g., harmful legal policies), and chronosystem (e.g., historical legacy). Next, how these exposures have cascading effects on minority stress processes (e.g., discriminatory policies in the macrosystem affect how a child is socialized in the microsystem) are considered. Then, modifiable factors (e.g., community cohesion) that promote resiliency in the face of ongoing exposures are discussed. To conclude, guidelines are offered for advancing the psychological science of resilience in minoritized groups including mixed methods to reflect participants' experiences, ecological approaches to assess resilience, and multilevel modeling to understand the interplay between the social-ecological context and individual factors. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Moral rules come with exceptions, and moral judgments come with uncertainty. For instance, stealing is wrong and generally punished. Yet, it could be the case that the thief is stealing food for their family. Such information about the thief's context could flip admonishment to praise. To varying degrees, this type of uncertainty regarding the context of another person's behavior is ever-present in moral judgment. Hence, we propose a model of how people evaluate others' behavior: We argue that individuals principally judge the righteousness of another person's behavior by assessing the likelihood that they would act the same way if they were in the person's shoes. That is, if you see another person steal, you will consider the contexts where you too would steal and assess the likelihood that any of these contexts are true, given the available information. This idea can be formalized as a Bayesian model that treats moral judgment as probabilistic reasoning. We tested this model across four studies (N = 601) involving either fictional moral vignettes or economic games. The studies yielded converging evidence showing that the proposed model better predicts moral judgment under uncertainty than traditional theories that emphasize social norms or perceived harm/utility. Overall, the present studies support a new model of moral judgment with the potential to unite research on social judgment, decision-making, and probabilistic reasoning. Beyond this specific model, the present studies also more generally speak to how individuals parse uncertainty by integrating across different possibilities., (© 2024 The Author(s). Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Resurgence is defined as an increase in a previously extinguished target response (B 1 ) resulting from the worsening of conditions for a more recently reinforced alternative response (B 2 ). Worsening includes extinction or reductions in rate, amount, and immediacy of delivery of food or some other phylogenetically important event (PIE). In the first part of the article, we apply the laws of allocation, induction, and covariance to understand not only resurgence of operant activity previously covarying with the PIE (B 1 ) but also a constellation of ontogenetic and phylogenetic activities both related to the PIE (B 0 ) and unrelated to the PIE (B N ). In the second part, we discuss how induction might be incorporated into and provide alternative processes within an existing matching-based framework, resurgence as choice (RaC). We begin to identify how this range of activities could depend on changes in the relative competitive weight (V) of all available activities (B 1 , B 2 , B 0 , B N ) in addition to only those receiving explicit training (B 1 , B 2 ). Future empirical and theoretical research is needed within this framework to provide a more complete understanding of resurgence and behavior more generally., (© 2024 Society for the Experimental Analysis of Behavior.)

Objectives: The psychology of moral decision-making classically contrasts utilitarianism (based on consequences) and deontology (based on moral norms). Previous studies capitalizing on this dichotomy have suggested the presence of a utilitarian bias among patients with severe alcohol use disorder (SAUD). We aimed to further disentangle the processes involved in such bias through a more validated approach, the CNI model of moral decision-making. This model allows to go further than the classical approach by distinguishing sensitivity to consequences (C), to moral norms (N), and general preference for inaction over action (I) in response to moral dilemmas., Methods: Thirty-four recently detoxified patients with SAUD and 34 matched control participants completed a battery of 48 dilemmas derived from the CNI model, as well as social cognition tasks., Results: In contrast with the utilitarian bias suggested in previous studies based on the classical approach, patients with SAUD did not show an increased sensitivity to consequences in comparison with control participants. However, they showed a reduced sensitivity to moral norms, as well as a greater action tendency. These biases were not related to social cognition deficits., Conclusions: Patients with SAUD are not more utilitarian than healthy controls, this previously reported bias being artificially generated by the methodological limits of the classical approach. Instead, they present a reduced sensitivity to moral norms and an action bias, which might impact their interpersonal relations and contribute to the social isolation frequently reported in this population, thus identifying moral decision-making as a new therapeutic lever in SAUD., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Borderline personality disorder (BPD) is characterized by affective, interpersonal, and identity instability, as well as marked impulsivity. There is evidence that BPD may be best operationalized dimensionally using models such as the Alternative Model for Personality Disorders (AMPD) described in Section III of the Diagnostic and Statistical Manual for Mental Disorders (DSM). Moreover, biosocial theory is a well-known etiological theory of BPD emphasizing emotion dysregulation, inherited impulsivity, and development within invalidating contexts as key etiological mechanisms. Given that current research and clinical efforts for BPD are informed by both nosology and etiology, this narrative review examined how well biosocial theory (a) aligns with AMPD conceptualizations, (b) accounts for psychiatric comorbidity, and (c) accounts for heterogeneity in BPD presentation. Findings suggested that tenets of biosocial theory align well with Criteria A and B of the AMPD; however, biosocial theory focuses narrowly on roles of emotion dysregulation, impulsivity, and invalidating contexts, and empirical support is lacking in some ways for several etiological explanations proposed by biosocial theory. Additionally, although biosocial theory captures empirically supported features of BPD and emphasizes high-risk subgroups, the theory may not account for lower-risk subgroups. Finally, the theory accounts for diagnostic co-occurrence via the central role of emotion dysregulation, but biosocial theory may not be specific to BPD and may broadly apply to a range of psychopathology. Based on the literature reviewed, implications for future research and clinical efforts are highlighted., (© 2024 John Wiley & Sons Ltd.)

Drinking alcohol in excess is associated with deleterious health outcomes, highlighting the need for research to identify potentially modifiable correlates of excessive alcohol consumption to target in behavioral interventions. The present two-wave prospective correlational study applied an integrated theoretical model that included theory of planned behavior constructs alongside habit, cue consistency, affective attitudes, and past behavior as predictors of two alcohol-related behaviors, drinking within safe limits and regular alcohol drinking, in separate samples of Australian undergraduate students (total N = 474). Structural equation models identified direct effects of habit, affective attitude, and subjective norms on intention for both behaviors. Habit at follow-up, cue consistency, and past behavior directly predicted behavior in both samples, whereas intention predicted behavior only for drinking within safe limits, and affective attitude only predicted behavior for regular drinking. Cue consistency moderated the effects of habit on behavior for both behaviors and moderated the effect of past behavior on regular drinking. Results corroborate past behavior and habit as key correlates of behavior and provide preliminary evidence of the importance of integrating cue consistency, a defining characteristic of habit, as a moderator of habit and past behavior effects an integrated theory test., (© 2024 The Author(s). Applied Psychology: Health and Well‐Being published by John Wiley & Sons Ltd on behalf of International Association of Applied Psychology.)

Personality traits and personality disorders are related to ADHD and indicate dysfunction in clinical populations. The goals of this study were to examine how the DSM-5 Alternative Model of Personality Disorder (AMPD) a) indicates the presence of ADHD and b) communicates information about dysfunction over and above ADHD diagnosis. A sample of 330 adult psychiatric patients with and without ADHD (60% female; mean age 33 years) were assessed for ADHD symptoms, personality impairment, maladaptive personality traits, and functional life impairment domains. The maladaptive personality domain Disinhibition and particularly the lower order facet of Distractibility distinguished between individuals with psychiatric difficulties with and without ADHD. Distractibility is strongly related to the ADHD symptom dimension Inattentiveness, and Antagonism to Hyperactivity/impulsivity. General personality impairment augmented ADHD diagnosis in predicting life impairments. The AMPD has utility in ADHD assessments for diagnosis and prognosis., (© 2024 The Author(s). Personality and Mental Health Published by John Wiley & Sons Ltd.)

The use of e-cigarette or vape devices is a growing concern on an international scale, given the devices' addictive nature and questions regarding their short- and long-term health impacts. Their use is especially an issue in young people, many of whom have little or no previous nicotine use experience. This study tested an integrated dual process model in 363 young Australian undergraduates where prospectively measured e-cigarette use was predicted by the psychological constructs of the theory of planned behavior, supplemented with risk perception, e-cigarette dependence, habit, and implicit attitude. Intention to use an e-cigarette was predicted by affective attitude, subjective norm, and e-cigarette dependance, but not instrumental attitude, perceived behavioral control, or risk perception. E-cigarette use was predicted by e-cigarette dependance, intention, habit, implicit attitude, and previous nicotine use, although perceived behavioral control did not directly predict behavior nor moderate the intention-behavior relationship. Current findings provide evidence for important psychological predictors of e-cigarette use, signposting potential intervention targets. Specifically, interventions may benefit from using strategies that tap affective or normative beliefs alongside automatic constructs and dependence, while focusing less on beliefs about the health impacts of e-cigarettes or control over using., (© 2024 The Author(s). Applied Psychology: Health and Well‐Being published by John Wiley & Sons Ltd on behalf of International Association of Applied Psychology.)

Humans and animals can quickly learn a new strategy when a previously-rewarding strategy is punished. It is difficult to model this with reinforcement learning methods, because they tend to perseverate on previously-learned strategies - a hallmark of impaired response to punishment. Past work has addressed this by augmenting conventional reinforcement learning equations with ad hoc parameters or parallel learning systems. This produces reinforcement learning models that account for reversal learning, but are more abstract, complex, and somewhat detached from neural substrates. Here we use a different approach: we generalize a recently-discovered neuron-level learning rule, on the assumption that it captures a basic principle of learning that may occur at the whole-brain-level. Surprisingly, this gives a new reinforcement learning rule that accounts for adaptation and lose-shift behavior, and uses only the same parameters as conventional reinforcement learning equations. In the new rule, the normal reward prediction errors that drive reinforcement learning are scaled by the likelihood the agent assigns to the action that triggered a reward or punishment. The new rule demonstrates quick adaptation in card sorting and variable Iowa gambling tasks, and also exhibits a human-like paradox-of-choice effect. It will be useful for experimental researchers modeling learning and behavior., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

In the present research, we produce a coherent account of the storage and retrieval processes in short- and long-term event memory, and long-term knowledge, that produce response accuracy and response time in a wide variety of conditions in our studies of recognition memory. Two to nine pictures are studied sequentially followed by a target or foil test picture in four conditions used in Nosofsky et al. Journal of Experimental Psychology: Learning, Memory, and Cognition, 47, 316-342, (2021) and in our new paradigm: VM: target and foil responses to a given stimulus change from trial to trial; CM: the responses do not change from trial to trial; AN: every trial uses new stimuli; MIXED: combinations of VM, CN, and AN occur on each trial. In the new paradigm a given picture is equally often tested as old or new, but only in CM is the response key the same and learnable. Our model has components that have appeared in a variety of prior accounts, including learning and familiarity, but are given support by our demonstration that accuracy and response time data from a large variety of conditions can be predicted by these processes acting together, with parameter values that largely are unchanged. A longer version of this article, containing information not found here due to space, is available online  https://doi.org/10.31234/osf.io/h8msp .The avalibility of the data (supplement materials), info and link is attached at the end section ( https://psyarxiv.com/h8msp .)., (© 2024. The Psychonomic Society, Inc.)

Humans have an outstanding ability to generalize from past experiences, which requires parsing continuously experienced events into discrete, coherent units, and relating them to similar past experiences. Time is a key element in this process; however, how temporal information is used in generalization remains unclear. Latent-cause inference provides a Bayesian framework for clustering experiences, by building a world model in which related experiences are generated by a shared cause. Here, we examine how temporal information is used in latent-cause inference, using a novel task in which participants see "microbe" stimuli and explicitly report the latent cause ("strain") they infer for each microbe. We show that humans incorporate time in their inference of latent causes, such that recently inferred latent causes are more likely to be inferred again. In particular, a "persistent" model, in which the latent cause inferred for one observation has a fixed probability of continuing to cause the next observation, explains the data significantly better than two other time-sensitive models, although extensive individual differences exist. We show that our task and this model have good psychometric properties, highlighting their potential use for quantifying individual differences in computational psychiatry or in neuroimaging studies., (© 2024 Massachusetts Institute of Technology.)

Objectives: Characterization of psychotherapy as the "talking cure" de-emphasizes the importance of an active listener on the curative effect of talking. We test whether the working alliance and its benefits emerge from expression of voice, per se, or whether active listening is needed. We examine the role of listening in a social identity model of working alliance., Methods: University student participants in a laboratory experiment spoke about stress management to another person (a confederate student) who either did or did not engage in active listening. Participants reported their perceptions of alliance, key social-psychological variables, and well-being., Results: Active listening led to significantly higher ratings of alliance, procedural justice, social identification, and identity leadership, compared to no active listening. Active listening also led to greater positive affect and satisfaction. Ultimately, an explanatory path model was supported in which active listening predicted working alliance through social identification, identity leadership, and procedural justice., Conclusions: Listening quality enhances alliance and well-being in a manner consistent with a social identity model of working alliance, and is a strategy for facilitating alliance in therapy., (© 2024 The Author(s). British Journal of Clinical Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.)

Psychological science is divided into two distinct methodological traditions. One tradition seeks to understand how people function at the individual level, while the other seeks to understand how people differ from each other. Methodologies that have grown out of these traditions typically rely on different sources of data. While both use statistical models to understand the structure of the data, and these models are often similar, Molenaar (2004) showed that results from one type of analysis rarely transfer to the other, unless unrealistic assumptions hold. This raises the question how we may integrate these approaches. In this paper, we argue that formalized theories can be used to connect intra- and interindividual levels of analysis. This connection is indirect, in the sense that the relationship between theory and data is best understood through the intermediate level of phenomena: robust statistical patterns in empirical data. To illustrate this, we introduce a distinction between intra- and interindividual phenomena, and argue that many psychological theories will have implications for both types of phenomena. Formalization provides us with a methodological tool for investigating what kinds of intra- and interindividual phenomena we should expect to find if the theory under consideration were true.