Cross-situational variability in childhood personality states.

Personality variability is an important individual difference construct that is the focus of major psychological theories and relates to socioemotional functioning. Although cross-situational personality variability has been studied extensively in adult populations, little is known about variability in children's personality. In this study, we aimed to address this gap in knowledge by evaluating whether cross-situational variability is a potentially meaningful individual difference in youth. We used a "thin slice" approach in which research assistants viewed videos of 324 children (Mage = 9.92) completing 15 standardized tasks and rated youth's Big Five personality states. Cross-situational variability in each personality state was estimated by calculating within-person standard deviations across tasks. Results showed that (a) there is substantial variability in children's personality states; (b) children who are variable in one personality domain tend to be variable in other domains; and (c) more variable children are described by their parents as being less competent, less agreeable, less conscientious, and more neurotic. However, associations with parent-rated external criterion were generally small in magnitude, and key psychometric properties of the thin slice personality variability index are not well-established. Our study adds tentative but promising evidence that individual differences in cross-situational personality variability are not only present in childhood but may be consequential. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Moderators of the relationship between callous-unemotional traits and externalizing problems in youth.

[Correction Notice: An Erratum for this article was reported online in Personality Disorders: Theory, Research, and Treatment on Oct 26 2023 (see record 2024-19662-001). In the original article, the authors changed the order of authorship from "Blair D. Batky, Allison N. Shields, Jennifer L. Tackett, and Randall T. Salekin" to "Blair D. Batky, Allison N. Shields, Randall T. Salekin, and Jennifer L. Tackett." All versions of this article have been corrected. The names appear correctly in this record.] Callous-unemotional (CU) traits (i.e., tendencies to experience low levels of guilt and empathy) are associated with severe and persistent conduct problems in youth. However, some youth with elevated CU traits do not exhibit severe externalizing problems, and further research is needed to identify conditions under which CU traits are more versus less strongly associated with higher levels of externalizing behavior. To this end, the current preregistered study examined whether internalizing problems, five-factor model personality traits, and parenting practices moderated associations between CU traits and externalizing problems. Caregivers of 1,232 youth ages 6-18 (Mage = 11.46) reported on youths' CU traits, externalizing, internalizing, and five-factor model traits as well as on their own parenting practices. We found that the relationship between CU traits and externalizing was robust to the moderating effects of internalizing problems and parenting practices, but CU traits were more strongly related to externalizing problems at higher levels of neuroticism and at lower levels of agreeableness and conscientiousness. Results contribute to a more comprehensive understanding of externalizing problems among youth high in CU traits and may inform future longitudinal and intervention research seeking to identify factors that reduce externalizing behavior among high-CU youth. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Mixed-Methods Approach to Refining and Measuring the Construct of Positive Risk-Taking in Adolescence.

Adolescence is a peak period for risk-taking, but research has largely overlooked positive manifestations of adolescent risk-taking due to ambiguity regarding operationalization and measurement of positive risk-taking. We address this limitation using a mixed-methods approach. We elicited free responses from contemporary college students (N = 74, Mage  = 20.1 years) describing a time they took a risk. Qualitative analysis informed the construction of a self-report positive risk-taking scale, which was administered to a population-based sample of adolescents (N = 1,249, Mage  = 16 years) for quantitative validation and examination of associations with normative and impulsive personality. Sensation seeking predicted negative and positive risk-taking, whereas extraversion and openness were predominantly related to positive risk-taking. Results provide promising evidence for a valid measure of adolescents' engagement in positive risks.

Understanding the Leaders of Tomorrow: The Need to Study Leadership in Adolescence.

Leadership traits and behaviors are observed early in human development, and although an improved understanding of youth leadership would usefully inform many real-world contexts (e.g., education, parenting, policy), most empirical work on leadership has been limited to adult populations. The purpose of the current article is to add a developmental perspective to leadership research that has so far been absent. Here, we (a) highlight adolescence as a critical developmental period for leadership emergence and development, (b) argue that leadership among youths is poorly understood and critically understudied, (c) provide exemplars of synergy between research on leadership and adolescent development that are ripe for focused inquiry, and (d) underscore some of the positive consequences of accelerating empirical research on leadership in adolescence, including implications for a deeper understanding of leadership in adult working populations.

Genetic variance in conscientiousness relates to youth psychopathology beyond executive functions.

Because deficits in self-regulation (SR) are core features of many diverse psychological disorders, SR may constitute one of many dimensions that underlie shared variance across diagnostic boundaries (e.g., the p factor, a dimension reflecting shared variance across multiple psychological disorders). SR definitions encompass constructs mapping onto different theoretical traditions and different measurement approaches, however. Two SR operationalizations, executive functioning and conscientiousness, are often used interchangeably despite their low empirical associations-a "jingle" fallacy that pervades much of the research on SR-psychopathology relationships. In a population-based sample of 1,219 twins and multiples from the Texas Twin Project (Mage = 10.60, SDage = 1.76), with a comprehensive battery of measures, we aimed to clarify how these often-muddled aspects of SR relate to individual differences in psychopathology, and whether links between them are accounted for by overlapping genetic and environmental factors. The p factor and an Attention Problems-specific factor were associated with lower executive functioning and conscientiousness. Executive functioning shared a small amount of genetic variance with p above and beyond conscientiousness, whereas conscientiousness shared substantial genetic variance with p independently of genetic variance accounted for by executive functioning. Conversely, the Attention Problems-specific factor was strongly genetically associated with executive functioning independently of genetic variance accounted for by conscientiousness. Results support the notion that SR and psychopathology, broadly conceived, may exist on overlapping spectra, but this overlap varies across conceptualizations of SR and the level of specificity at which psychopathology is assessed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The need to grow: Developmental considerations and challenges for modern psychiatric taxonomies.

Recently proposed psychiatric taxonomies and classification systems, Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP), aim to structure symptoms of psychopathology along a common set of dimensions. Hierarchical dimensional models of psychopathology are empirically supported and facilitate more productive research on disorder etiology and course. Lacking in these modern approaches, however, is a thoughtful integration of developmental context and considerations. In this brief commentary, we argue for (a) the importance of structural models of personality and psychopathology to advance an understanding of psychopathology development and etiology, (b) important considerations for measurement and assessment from a developmental perspective, and (c) the importance of taking more seriously the hard work of developmental taxonomic research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

If an entrepreneur founded the DSM-5 alternative model of personality disorder: When Axis II meets disruptive innovation: Comment on Widiger and Hines (2022).

Personality disorder (PD) researchers proposed a highly innovative "paradigm-shifting" revamp for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (APA, 2013). Yet, 10 years later, Widiger and Hines (2022) summarize a developmental process plagued by disagreement and stagnation, with little evidence of the field having reaped the desired benefits of this diagnostic revolution. In this commentary, we draw on principles from entrepreneurial creation, operation, and success-positioning the PD scientists in the role of "disruptive innovator"-and summarize key principles from the entrepreneurial process that may be relevant in understanding the challenges and failures of the PD revolution to date. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

HiTOP Assessment of Externalizing Antagonism and Disinhibition.

This article outlines the Phase 1 efforts of the HiTOP Measure Development group for externalizing constructs, which include disinhibited externalizing, antagonistic externalizing, attention deficit hyperactivity disorder, substance use, and externalizing/maladaptive behaviors. We provide background on the constructs included and the process and issues involved in developing a measure for this diverse range of psychopathology symptoms, traits, and behaviors.

Les progrès dans la réalisation de la classification quantitative de la psychopathologie.

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.

Towards construct validity of relational aggression: An examination of the Children's Social Behavior Scale.

Relational aggression-or behavior intended to harm the relationships of its victims-has been the focus of interdisciplinary study across developmental, clinical, personality, and social psychology in the last several decades. One of the primary measures used to assess relational aggression in youth is the Children's Social Behavior Scale (CSBS; Crick & Grotpeter, 1995), but despite its common usage, the construct validity of this measure has not been comprehensively assessed. In the present study, we used a multistage construct validity framework to thoroughly investigate the nature of relational aggression across six community samples totaling 3,102 youth and their caregivers. We used multiple methods to map the reliability, internal or structural validity, and external validity of this scale. Through these analyses, we found that CSBS Relational Aggression demonstrated strong internal consistency, test-retest, and interrater reliability as well as a robust single factor structure and invariance across multiple demographic groups. External validity analyses positioned relational aggression within a theoretically consistent nomological net including psychopathology, personality, and social developmental factors. Contrary to concerns about the validity of self- and parent-reports of relational aggression, both parent- and youth-report forms of the CSBS Relational Aggression scale demonstrated strong reliability and validity. While construct validation has received inadequate attention in the psychological literature to date, through this project, we aimed to demonstrate how this approach may be used to investigate existing measures across psychological research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Three recommendations based on a comparison of the reliability and validity of the predominant models used in research on the empirical structure of psychopathology.

The present study compared the primary models used in research on the structure of psychopathology (i.e., correlated factor, higher-order, and bifactor models) in terms of structural validity (model fit and factor reliability), longitudinal measurement invariance, concurrent and prospective predictive validity in relation to important outcomes, and longitudinal consistency in individuals' factor score profiles. Two simpler operationalizations of a general factor of psychopathology were also examined-a single-factor model and a count of diagnoses. Models were estimated based on structured clinical interview diagnoses in two longitudinal waves of nationally representative data from the United States (n = 43,093 and n = 34,653). Models that included narrower factors (fear, distress, and externalizing) were needed to capture the observed multidimensionality of the data. In the correlated factor and higher-order models these narrower factors were reliable, largely invariant over time, had consistent associations with indicators of adaptive functioning, and had moderate stability within individuals over time. By contrast, the fear- and distress-specific factors in the bifactor model did not show good reliability or validity throughout the analyses. Notably, the general factor of psychopathology (p factor) performed similarly well across tests of reliability and validity regardless of whether the higher-order or bifactor model was used; the simplest (single factor) model was also comparable across most tests, with the exception of model fit. Given the limitations of categorical diagnoses, it will be important to repeat these analyses using dimensional measures. We conclude that when aiming to understand the structure and correlates of psychopathology it is important to (a) look beyond model fit indices to choose between different models, (b) examine the reliability of latent variables directly, and (c) be cautious when isolating and interpreting the unique effects of specific psychopathology factors, regardless of which model is used. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Anatomy of a Psychological Theory: Integrating Construct-Validation and Computational-Modeling Methods to Advance Theorizing.

Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology-what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.

The Impact of Personality Pathology Across Three Generations: Evidence from the St. Louis Personality and Intergenerational Network Study.

Personality disorder (PD) symptoms in a parent generation may confer risk for problems in future generations, but intergenerational transmission has not been studied beyond parent-child effects. We examined the generational transfer of risk associated with PDs using structural models of grandparent personality pathology and grandchild psychopathology among 180 adults (M age =66.9), 218 of their children (M age =41.2), and 337 of their grandchildren (M age =10.5). We found evidence for general and heterotypic domain-specific transmission. Specifically, broad grandparent personality pathology was associated with broad grandchild psychopathology (B=.15, 95% CI [-.01, .31]); at the domain level, grandparent internalizing personality pathology was associated with grandchild externalizing psychopathology (B =.06, 95% CI [.01, .12]). Neither association was significantly mediated by parental personality pathology. These findings indicate that personality pathology in one generation confers risk for psychopathology across subsequent generations. Such intergenerational transmission operates across broad, rather than specific (i.e., individual disorder) psychopathology domains.

Why Has Personality Psychology Played an Outsized Role in the Credibility Revolution?

Personality is not the most popular subfield of psychology. But, in one way or another, personality psychologists have played an outsized role in the ongoing "credibility revolution" in psychology. Not only have individual personality psychologists taken on visible roles in the movement, but our field's practices and norms have now become models for other fields to emulate (or, for those who share Baumeister's (2016, https://doi.org/10.1016/j.jesp.2016.02.003) skeptical view of the consequences of increasing rigor, a model for what to avoid). In this article we discuss some unique features of our field that may have placed us in an ideal position to be leaders in this movement. We do so from a subjective perspective, describing our impressions and opinions about possible explanations for personality psychology's disproportionate role in the credibility revolution. We also discuss some ways in which personality psychology remains less-than-optimal, and how we can address these flaws.

The p factor and dimensional structural models of youth personality pathology and psychopathology.

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a developing dimensional nosology which provides a joint framework for study of psychopathology and personality pathology. Dimensional structural models of psychopathology often include an overarching dimension of psychopathology (p factor) representing covariation among all forms of psychopathology. The p factor can be recovered in youth and adult samples, and has been found to relate to personality traits in similar ways in youth and adults. However, placement of personality pathology in an overarching psychopathology structure has almost exclusively been investigated in adults. We review evidence for the relationships between normal-range and pathological personality traits and psychopathology in adults and youth, ultimately making the case for study of a joint personality - psychopathology framework in youth.

Facet-level personality development in the transition to adolescence: Maturity, disruption, and gender differences.

The transition to adolescence is marked by enormous change in social, biological, and personality development. Although accumulating evidence has offered insight into the nature of higher-order personality trait development during this period, much less is known about the development of lower-order personality traits, or "facets." The current study used a cohort-sequential longitudinal design to examine domain- and facet-level trajectories for mother-reported personality traits during the early adolescent transition. Personality trait domains and facets were assessed with the Inventory of Child Individual Differences-Short Form (Deal, Halverson, Martin, Victor, & Baker, 2007). Participants were 440 children followed at 4 annual timepoints from middle childhood (Mage = 9.97, SD = 0.81) to early adolescence (Mage = 13.11, SD = 0.84). Results of latent growth curve models showed substantial facet-level personality stability in this period, as well as small to moderate linear change in 13 of 15 facets. Gender differences in change were evident for 9 facets. Overall patterns suggested consistent increases in agreeableness facets with null to small gender differences. Neuroticism and openness to experience facet change was heterogeneous within each domain, but patterns were similar for boys and girls. Extraversion primarily decreased, though the magnitude and direction of change differed between facets and genders. Conscientiousness increased across all facets, but only among girls. These findings overall demonstrate a high degree of developmental consistency in facets within each domain as well as some notable differences. Further, this study contributes to a small and somewhat mixed evidence base for current theories of adolescent personality development. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Adolescent Big Five personality and pubertal development: Pubertal hormone concentrations and self-reported pubertal status.

In early adolescence, levels of conscientiousness and agreeableness have been found to temporarily decrease, with levels of neuroticism increasing, indicating a dip in personality maturation. It is unknown whether these changes are related to the process of puberty, a major developmental milestone with numerous changes for children. Here, we first replicated the dip in personality maturity in early adolescence (N = 2640, age range 8-18, 51% girls, 65% non-Hispanic white, 21% Hispanic/Latino, 10% African American, 9% other, roughly 33% of families received means-tested public assistance) and tested associations between the Big Five personality dimensions and pubertal development and timing across late childhood and adolescence (n = 1793). Pubertal development was measured using both hormonal assays (DHEA, testosterone, and progesterone) and self-reports of secondary sex characteristics. Of hormonal measures, only higher DHEA concentrations were associated with lower conscientiousness and openness. Nonparametric moderation analyses using LOSEM indicated Complex Age × Sex interactions involving all three hormones. Self-reported pubertal development was associated with lower extraversion, conscientiousness, agreeableness, and openness. More advanced pubertal timing was also related to lower levels of extraversion, conscientiousness, and agreeableness. All associations were small. As some evidence was found for small associations between pubertal development and lower levels of conscientiousness and agreeableness, a dip in personality maturation in these personality traits may be partly due to pubertal development in early adolescence. Overall, results did not indicate that pubertal development was the primary explanation of the maturity dip in adolescent personality. Many small influences likely accumulate to explain the dip in personality maturity in early adolescence. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Correction to Moore et al. (2020).

Reports an error in "Criterion validity and relationships between alternative hierarchical dimensional models of general and specific psychopathology" by Tyler M. Moore, Antonia N. Kaczkurkin, E. Leighton Durham, Hee Jung Jeong, Malerie G. McDowell, Randolph M. Dupont, Brooks Applegate, Jennifer L. Tackett, Carlos Cardenas-Iniguez, Omid Kardan, Gaby N. Akcelik, Andrew J. Stier, Monica D. Rosenberg, Donald Hedeker, Marc G. Berman and Benjamin B. Lahey (Journal of Abnormal Psychology, Advanced Online Publication, Jul 16, 2020, np). In the article (http://dx.doi.org/10.1037/abn0000601), an acknowledgment is missing from the author note. The missing acknowledgement is included in the erratum. (The following abstract of the original article appeared in record 2020-50590-001.) Psychopathology can be viewed as a hierarchy of correlated dimensions. Many studies have supported this conceptualization, but they have used alternative statistical models with differing interpretations. In bifactor models, every symptom loads on both the general factor and 1 specific factor (e.g., internalizing), which partitions the total explained variance in each symptom between these orthogonal factors. In second-order models, symptoms load on one of several correlated lower-order factors. These lower-order factors load on a second-order general factor, which is defined by the variance shared by the lower-order factors. Thus, the factors in second-order models are not orthogonal. Choosing between these valid statistical models depends on the hypothesis being tested. Because bifactor models define orthogonal phenotypes with distinct sources of variance, they are optimal for studies of shared and unique associations of the dimensions of psychopathology with external variables putatively relevant to etiology and mechanisms. Concerns have been raised, however, about the reliability of the orthogonal specific factors in bifactor models. We evaluated this concern using parent symptom ratings of 9-10 year olds in the ABCD Study. Psychometric indices indicated that all factors in both bifactor and second-order models exhibited at least adequate construct reliability and estimated replicability. The factors defined in bifactor and second-order models were highly to moderately correlated across models, but have different interpretations. All factors in both models demonstrated significant associations with external criterion variables of theoretical and clinical importance, but the interpretation of such associations in second-order models was ambiguous due to shared variance among factors. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology
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The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical structural model of psychological symptoms formulated to improve the reliability and validity of clinical assessment. Neurobiology can inform assessments of early risk and intervention strategies, and the HiTOP model has greater potential to interface with neurobiological measures than traditional categorical diagnoses given its enhanced reliability. However, one complication is that observed biological correlates of clinical symptoms can reflect various factors, ranging from dispositional risk to consequences of psychopathology. In this paper, we argue that the HiTOP model provides an optimized framework for conducting research on the biological correlates of psychopathology from an ontogenetic perspective that distinguishes among indicators of liability, current symptoms, and consequences of illness. Through this approach, neurobiological research can contribute more effectively to identifying individuals at high dispositional risk, indexing treatment-related gains, and monitoring the consequences of mental illness, consistent with the aims of the HiTOP framework.
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La taxonomía jerárquica de la psicopatología (TJP) es un modelo estructural empírico de síntomas psicológicos propuesto para mejorar la confiabilidad y la validez de la evaluación clínica. La neurobiología puede dar cuenta de las evaluaciones de riesgo precoz y estrategias de intervención, y el modelo de TJP tiene un mayor potencial para interactuar con las mediciones neurobiológicas que los diagnósticos categoriales tradicionales dada su mayor confiabilidad. Sin embargo, una complicación es que los correlatos biológicos observados de los síntomas clínicos pueden reflejar varios factores, que van desde el riesgo de la disposición hasta las consecuencias de la psicopatología. En este artículo, se argumenta que el modelo TJP proporciona un marco optimizado para realizar investigaciones sobre los correlatos biológicos de la psicopatología desde una perspectiva ontogenética que distingue entre indicadores de responsabilidad, síntomas actuales y consecuencias de la enfermedad. A través de este enfoque, la investigación neurobiológica puede contribuir de manera más efectiva con la identificación de individuos con un alto riesgo de disposición, el registro de los beneficios del tratamiento y el monitoreo de las consecuencias de la enfermedad mental, de acuerdo con los objetivos del marco de referencia de la TJP.

La taxonomie hiérarchique de la psychopathologie (HiTOP, Hierarchical Taxonomy of Psychopathology) est un modèle empirique et structuré de symptômes psychologiques visant à améliorer la fiabilité et la validité de l'évaluation clinique. L'évaluation sur le risque précoce et les stratégies thérapeutiques peuvent bénéficier des apports de la neurobiologie ; le modèle HiTOP interagit mieux avec les mesures neurobiologiques que les diagnostics catégoriels classiques, en raison de sa plus grande fiabilité. Néanmoins, le fait que les corrélats biologiques observés des symptômes cliniques peuvent refléter différents facteurs qui vont du risque lié à la prédisposition aux conséquences de la pathologie, complique les choses. Dans cet article, nous soutenons que le cadre du modèle HiTOP est optimal pour la recherche sur les corrélats biologiques de la psychopathologie d'un point de vue ontogénétique qui distingue les indicateurs de responsabilité, les symptômes actuels et les conséquences de la maladie. Par cette approche, la recherche neurobiologique permet de mieux identifier les personnes à risque de prédisposition élevé, de mieux répertorier les bénéfices liés au traitement et de surveiller les conséquences de la maladie mentale, selon les objectifs du cadre de l'HiTOP.