How Robust Is the p Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Youth Psychopathology

Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches

The internalizing construct captures shared variance underlying risk for mood and anxiety disorders. Internalizing factors based on diagnoses (or symptoms) of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well established. Studies have also integrated self-reported measures of associated traits (e.g., questionnaires assessing neuroticism, worry, and rumination) onto these factors, despite having not tested the assumption that these measures truly capture the same sets of risk factors. This study examined the overlap among both sets of measures using converging approaches. First, using genomic structural equation modeling, we constructed internalizing factors based on genome-wide association studies (GWASs) of internalizing diagnoses (e.g., MDD) and traits associated with internalizing (neuroticism, loneliness, and reverse-scored subjective well-being). Results indicated the two factors were highly (rg = .79) but not perfectly genetically correlated (rg < 1.0, p < .001). Second, we constructed similar latent factors in a combined twin/adoption sample of adults from the Colorado Adoption/Twin Study of Lifespan Behavioral Development and Cognitive Aging. Again, both factors demonstrated strong overlap at the level of genetic (rg = .76, 95% confidence interval [CI] [0.40, 0.97]) and nonshared environmental influences (re = .80, 95% CI [0.53, 1.0]). Shared environmental influences were estimated near zero for both factors. Our findings are consistent with current frameworks of psychopathology, though they suggest there are some unique genetic influences captured by internalizing diagnosis compared to trait measures, with potentially more nonadditive genetic influences on trait measures. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The General Psychopathology 'p' Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing

Accumulating evidence supports the presence of a general psychopathology dimension, the p factor ('p'). Despite growing interest in the p factor, questions remain about how p is assessed. Although multi-informant assessment of psychopathology is commonplace in clinical research and practice with children and adolescents, almost no research has taken a multi-informant approach to studying youth p or has examined the degree of concordance between parent and youth reports. Further, estimating p requires assessment of a large number of symptoms, resulting in high reporter burden that may not be feasible in many clinical and research settings. In the present study, we used bifactor multidimensional item response theory models to estimate parent- and adolescent-reported p in a large community sample of youth (11-17 years) and parents (N = 5,060 dyads). We examined agreement between parent and youth p scores and associations with assessor-rated youth global functioning. We also applied computerized adaptive testing (CAT) simulations to parent and youth reports to determine whether adaptive testing substantially alters agreement on p or associations with youth global functioning. Parent-youth agreement on p was moderate (r =.44) and both reports were negatively associated with youth global functioning. Notably, 7 out of 10 of the highest loading items were common across reporters. CAT reduced the average number of items administered by 57%. Agreement between CAT-derived p scores was similar to the full form (r =.40) and CAT scores were negatively correlated with youth functioning. These novel results highlight the promise and potential clinical utility of a multi-informant p factor approach.

Advancing equity in access to school mental health through multiple informant decision-making

There has been a substantial increase in the number of students with mental health needs, yet significant discrepancies exist in access to timely intervention. Traditional gatekeeping to intervention has been the provenance of single information sources. Multi-informant decision-making is a promising mechanism to improve equitable access. However, critical advancements are necessary to improve decision-making relating to (a) who is identified, (b) what type of need is determined, (c) the type of intervention necessary, and (d) where or under what circumstances to implement the intervention. We review critical components of effective mental health decision-making, contributors to inequities in school mental health services, and offer future directions for research and practice to increase equitable student outcomes.

Personality Functioning, Problems in Living, and Personality Traits

The publication of the Alternative Model of Personality Disorder (AMPD) was a signpost achievement in the personality assessment. However, research on the AMPD has generally not led to either a deeper understanding of personality disorder or personality assessment or new ideas about how to provide better care for people with personality disorder diagnoses. A significant portion of research has focused on narrow issues and appears to be driven in part by ideological differences between scholars who prefer Criterion A (personality functioning) or Criterion B (maladaptive traits). I trace these issues to ambiguity about the concept of personality functioning as defined in the AMPD and its conceptual distinction from personality traits and problems in living. In this paper, I reground these concepts in coherent and distinct definitions, elaborate upon the implications of their differences, and show how these differences can help clarify and reorient AMPD research to focus on generating clinically useful models for personality pathology and personality assessment.

Reactive and control processes in the development of internalizing and externalizing problems across early childhood to adolescence

Reactive and control processes - e.g., negative emotionality and immediacy preference - may predict distinct psychopathology trajectories. However, externalizing and internalizing problems change in behavioral manifestation across development and across contexts, thus necessitating the use of different measures and informants across ages. This is the first study that created developmental scales for both internalizing and externalizing problems by putting scores from different informants and measures onto the same scale to examine temperament facets as risk factors. Multidimensional linking allowed us to examine trajectories of internalizing and externalizing problems from ages 2 to 15 years (N = 1,364) using near-annual ratings by mothers, fathers, teachers, other caregivers, and self report. We examined reactive and control processes in early childhood as predictors of the trajectories and as predictors of general versus specific psychopathology in adolescence. Negative emotionality at age 4 predicted general psychopathology and unique externalizing problems at age 15. Wait times on an immediacy preference task at age 4 were negatively associated with age 15 general psychopathology, and positively associated with unique internalizing problems. Findings demonstrate the value of developmental scaling for examining development of psychopathology across a lengthy developmental span and the importance of considering reactive and control processes in development of psychopathology.

The mediating role of reflective functioning and general psychopathology in the relationship between childhood conduct disorder and adult aggression among offenders

BACKGROUND

The nature of the pathway from conduct disorder (CD) in adolescence to antisocial behavior in adulthood has been debated and the role of certain mediators remains unclear. One perspective is that CD forms part of a general psychopathology dimension, playing a central role in the developmental trajectory. Impairment in reflective functioning (RF), i.e., the capacity to understand one's own and others' mental states, may relate to CD, psychopathology, and aggression. Here, we characterized the structure of psychopathology in adult male-offenders and its role, along with RF, in mediating the relationship between CD in their adolescence and current aggression.

METHODS

A secondary analysis of pre-treatment data from 313 probation-supervised offenders was conducted, and measures of CD symptoms, general and specific psychopathology factors, RF, and aggression were evaluated through clinical interviews and questionnaires.

RESULTS

Confirmatory factor analyses indicated that a bifactor model best fitted the sample's psychopathology structure, including a general psychopathology factor (p factor) and five specific factors: internalizing, disinhibition, detachment, antagonism, and psychoticism. The structure of RF was fitted to the data using a one-factor model. According to our mediation model, CD significantly predicted the p factor, which was positively linked to RF impairments, resulting in increased aggression.

CONCLUSIONS

These findings highlight the critical role of a transdiagnostic approach provided by RF and general psychopathology in explaining the link between CD and aggression. Furthermore, they underscore the potential utility of treatments focusing on RF, such as mentalization-based treatment, in mitigating aggression in offenders with diverse psychopathologies.

Systematic Integration of Multi-Informant Externalizing Ratings in Clinical Settings

Best practice clinical assessment of externalizing problems often necessitates collection of information from parents, youth themselves, and teachers. The present study tested the predictive validity of a psychometrically-driven scoring procedure to integrate multi-informant, dimensional ratings of externalizing problems. Participants were 2264 clinic-referred youth ages 6-18. Parents, teachers, and youth completed questionnaire ratings of externalizing problems (hyperactivity-inattention, conduct problems, and oppositionality-defiance) prior to an initial clinical appointment. The predictive validity of simple (highest informant rating; and all informant ratings separately) and more complex (latent S-1 bifactor model with specific informant factors; and moderated nonlinear factor analysis accounting for child age and sex) methods of informant integration was tested in predicting impairment, comorbidity, and number of clinical encounters. A simple model, in which all informant ratings were included, showed the best predictive validity across outcomes, performing as well or better than the use of the highest informant ratings or more complex latent variable models. The addition of child age and sex as moderators in the factor model did not improve predictive validity. Each informant (parent, teacher, and youth) contributes important information to the prediction of clinically-relevant outcomes. There is insufficient evidence at present to suggest that complex latent variable models should be favored over simpler models that preserve each informant's ratings.

Mental Flexibility and Epistemic Trust Through Implicit Social Learning - A Meta-Model of Change Processes in Psychotherapy With Personality Disorders

This position paper follows the call for transtheoretical meta-models of general clinical change by concentrating on severe mental illness such as Personality Disorders (PDs). We have identified a core process of change related to mental flexibility through implicit learning and propose recommendations for stance and technique that are informed by research on Mentalization-Based-Treatment (MBT) and the learning components as represented in the Mediational Intervention for Sensitizing Caregivers (MISC). While the idea of corrective emotional experience as a general change mechanism involves discriminating between an old and new relationship to update relationship knowledge, the capacity to understand and process corrective emotional experiences may be limited and even iatrogenic in patients with PDs. By integrating MBT and MISC, a meta-model of change is created that allows training in and observation of the granular-level, behaviorally anchored, actions taken by the therapist to open up social learning. Here, social learning is conceptualized as epistemic trust, increasing the client's reflective functioning during sessions to ultimately enhance cognitive flexibility outside the therapy room. This opens the possibility to implement and observe micro changes in what should be termed now implicit cognitive and emotional corrective experiences. Thus, we propose to shift towards implicit learning within professional relationships; that is, internalizing a new way of thinking about any life-event that requires adaption thereby creating adaptive capacities via mental flexibility as the general change mechanism of Personality Disorder (PD) treatment.

Bivalent fears of evaluation: A developmentally-informed, multi-informant, and multi-modal examination of associations with safety behaviors

Fears of negative (FNE) and positive (FPE) evaluation and safety behaviors feature prominently in cognitive-behavioral models of social anxiety. However, we have a poor understanding of their associations, particularly given evidence that they both vary in form and function. This study aimed to identify the factor structure of safety behaviors and explore their differential associations with FNE and FPE. We addressed these aims across samples that varied in developmental stage, informant, and assessment modality. We collected self-reported data from college students (n = 349; Mage = 19.42) and adolescent-parent dyads (n = 134; Mage_adolescents = 14.49, Mage_parents = 45.01); parents also completed an ecologically-valid evaluation task. We confirmed a two-factor structure of safety behaviors (i.e., avoidance and impression management) that fit the data well for college students, adolescents, and parents' self-report, but not for parents' report about adolescents. Associations between avoidance and impression management and FNE/FPE were significant within-informants but not between-informants. For parents, in-the-moment arousal following receipt of negative, but not positive, feedback was associated with avoidance and impression management. Findings have implications for integrated measurement of FNE, FPE, and safety behaviors, as well as treatments that target social anxiety through each of these domains.

Perinatal and neonatal factors and mental disorders in children and adolescents: looking for the contributions of the early environment to common and dissociable aspects of psychopathology

High rates of co-occurrence of mental disorders have been hypothesized to represent a result of common susceptibility to overall psychopathology. The purpose of this study is to test the hypothesis that commonalities among psychiatric disorders might be partially driven by sharable perinatal and neonatal environmental factors for mental disorders. Participants were 6-14 years of age children and their parents. Primary caregivers provided data on perinatal and neonatal information assessed retrospectively (n = 2231). Psychiatric disorders diagnoses were assessed using the Development and Well Being Behavior Assessment (DAWBA). We used bifactor models to disentangle common from dissociable aspects of psychopathology. These models allow modeling psychiatric disorders as the result of a common domain of psychopathology (p-factor) and three dissociable domains (fear, distress, and externalizing symptoms). Associations were tested using linear and tobit regression models. The p-factor was associated with male sex, low socioeconomic status, gestational smoking, gestational drinking, low levels of maternal education and presence of mental disorder in the mother. Associations with specific factors also emerged suggesting some risk factors might also have some role for fear, distress and externalizing factors. Our study supports the hypothesis that overall susceptibility to psychopathology might be partially driven by sharable perinatal and neonatal factors.

A Developmentally Informed Systematic Review and Meta-Analysis of the Strength of General Psychopathology in Childhood and Adolescence

Considerable support exists for higher-order dimensional conceptualizations of psychopathology in adults. A growing body of work has focused on understanding the structure of general and specific psychopathology in children and adolescents. No prior meta-analysis has examined whether the strength of the general psychopathology factor (p factor)-measured by explained common variance (ECV)-changes from childhood to adolescence. The primary objective of this multilevel meta-analysis was to determine whether general psychopathology strength changes across development (i.e. across ages) in childhood and adolescence. Several databases were searched in November 2021; 65 studies, with 110 effect sizes (ECV), nested within shared data sources, were identified. Included empirical studies used a factor analytic modeling approach that estimated latent factors for child/adolescent internalizing, externalizing, and optionally thought-disordered psychopathology, and a general factor. Studies spanned ages 2-17 years. Across ages, general psychopathology explained over half (~ 56%) of the reliable variance in symptoms of psychopathology. Age-moderation analyses revealed that general factor strength remained stable across ages, suggesting that general psychopathology strength does not significantly change across childhood to adolescence. Even if the structure of psychopathology changes with development, the prominence of general psychopathology across development has important implications for future research and intervention.

Thinking outside the ballot box

A deeply heterogeneous set of ideological cohorts have shaped the course of history. From anarchists and authoritarians to Zionists and Zapatistas, the expansive alphabet of politics demands an equally expansive psychological vocabulary to describe political belief systems. We propose that constructing such a vocabulary is best facilitated by decentering familiar models that emphasize psychological differences between leftists and rightists. Synthesizing recent developments in the fields of personality, political science, and psychopathology, we characterize individual variation in politics as high-dimensional, heterarchical, intrapersonally eclectic, and contextually shaped and activated. Developing a data-driven taxonomic model of political-psychological phenomena will help create a foundational base of knowledge within political psychology that is more rigorous, more replicable, and certainly richer to investigate.

Dimensional models of personality disorders: Challenges and opportunities

Categorical models of personality disorders have been beneficial throughout psychiatric history, providing a mechanism for organizing and communicating research and treatment. However, the view that individuals with personality disorders are qualitatively distinct from the general population is no longer tenable. This perspective has amassed steady criticism, ranging from inconsequential to irreconcilable. In response, stronger evidence has been accumulated in support of a dimensional perspective that unifies normal and pathological personality on underlying trait continua. Contemporary nosology has largely shifted toward this dimensional perspective, yet broader adoption within public lexicon and routine clinical practice appears slow. This review focuses on challenges and the related opportunities of moving toward dimensional models in personality disorder research and practice. First, we highlight the need for ongoing development of a broader array of measurement methods, ideally facilitating multimethod assessments that reduce biases associated with any single methodology. These efforts should also include measurement across both poles of each trait, intensive longitudinal studies, and more deeply considering social desirability. Second, wider communication and training in dimensional approaches is needed for individuals working in mental health. This will require clear demonstrations of incremental treatment efficacy and structured public health rebates. Third, we should embrace cultural and geographic diversity, and investigate how unifying humanity may reduce the stigma and shame currently generated by arbitrarily labeling an individual's personality as normal or abnormal. This review aims to organize ongoing research efforts toward broader and routine usage of dimensional perspectives within research and clinical spaces.

The Operations Triad Model and Youth Mental Health Assessments: Catalyzing a Paradigm Shift in Measurement Validation

Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies across informants' reports (i.e., informant discrepancies). Researchers should arguably treat these informant discrepancies as domain-relevant information: data relevant to understanding youth mental health domains (e.g., anxiety, depression, aggression). Yet, historically, in youth mental health research as in many other research areas, one set of paradigms has guided interpretations of informant discrepancies: Converging Operations and the Multi-Trait Multi-Method Matrix (MTMM). These paradigms (a) emphasize shared or common variance observed in multivariate data, and (b) inspire research practices that treat unique variance (i.e., informant discrepancies) as measurement confounds, namely random error and/or rater biases. Several yearsw ago, the Operations Triad Model emerged to address a conceptual problem that Converging Operations does not address: Some informant discrepancies might reflect measurement confounds, whereas others reflect domain-relevant information. However, addressing this problem requires more than a conceptual paradigm shift beyond Converging Operations. This problem necessitates a paradigm shift in measurement validation. We advance a paradigm (Classifying Observations Necessitates Theory, Epistemology, and Testing [CONTEXT]) that addresses problems with using the MTMM in youth mental health research. CONTEXT optimizes measurement validity by guiding researchers to leverage (a) informants that produce domain-relevant informant discrepancies, (b) analytic procedures that retain domain-relevant informant discrepancies, and (c) study designs that facilitate detecting domain-relevant informant discrepancies.

Introduction to the Special Issue. A Dozen Years of Demonstrating That Informant Discrepancies are More Than Measurement Error: Toward Guidelines for Integrating Data from Multi-Informant Assessments of Youth Mental Health

Validly characterizing youth mental health phenomena requires evidence-based approaches to assessment. An evidence-based assessment cannot rely on a "gold standard" instrument but rather, batteries of instruments. These batteries include multiple modalities of instrumentation (e.g., surveys, interviews, performance-based tasks, physiological readings, structured clinical observations). Among these instruments are those that require soliciting reports from multiple informants: People who provide psychometrically sound data about youth mental health (e.g., parents, teachers, youth themselves). The January 2011 issue of the Journal of Clinical Child and Adolescent Psychology (JCCAP) included a Special Section devoted to the most common outcome of multi-informant assessments of youth mental health, namely discrepancies across informants' reports (i.e., informant discrepancies). The 2011 JCCAP Special Section revolved around a critical question: Might informant discrepancies contain data relevant to understanding youth mental health (i.e., domain-relevant information)? This Special Issue is a "sequel" to the 2011 Special Section. Since 2011, an accumulating body of work indicates that informant discrepancies often contain domain-relevant information. Ultimately, we designed this Special Issue to lay the conceptual, methodological, and empirical foundations of guidelines for integrating multi-informant data when informant discrepancies contain domain-relevant information. In this introduction to the Special Issue, we briefly review the last 12 years of research and theory on informant discrepancies. This review highlights limitations inherent to the most commonly used strategies for integrating multi-informant data in youth mental health. We also describe contributions to the Special Issue, including articles about informant discrepancies that traverse multiple content areas (e.g., autism, implementation science, measurement validation, suicide).

Mapping established psychopathology scales onto the Hierarchical Taxonomy of Psychopathology (HiTOP)

The Hierarchical Taxonomy of Psychopathology (HiTOP) organizes phenotypes of mental disorder based on empirical covariation, offering a comprehensive organizational framework from narrow symptoms to broader patterns of psychopathology. We argue that established self-report measures of psychopathology from the pre-HiTOP era should be systematically integrated into HiTOP to foster cumulative research and further the understanding of psychopathology structure. Hence, in this study, we mapped 92 established psychopathology (sub)scales onto the current HiTOP working model using data from an extensive battery of self-report assessments that was completed by community participants and outpatients (N = 909). Content validity ratings of the item pool were used to select indicators for a bifactor-(S-1) model of the p factor and five HiTOP spectra (i.e., internalizing, thought disorder, detachment, disinhibited externalizing, and antagonistic externalizing). The content-based HiTOP scales were validated against personality disorder diagnoses as assessed by standardized interviews. We then located established scales within the taxonomy by estimating the extent to which scales reflected higher-level HiTOP dimensions. The analyses shed light on the location of established psychopathology scales in HiTOP, identifying pure markers and blends of HiTOP spectra, as well as pure markers of the p factor (i.e., scales assessing mentalizing impairment and suspiciousness/epistemic mistrust).

Conceptual, methodological, and measurement factors that disqualify use of measurement invariance techniques to detect informant discrepancies in youth mental health assessments

On page 1 of his classic text, Millsap (2011) states, "Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are irrelevant [emphasis added] to the attribute being measured." By construction, measurement invariance techniques require not only detecting varied conditions but also ruling out that these conditions inform our understanding of measured domains (i.e., conditions that do not contain domain-relevant information). In fact, measurement invariance techniques possess great utility when theory and research inform their application to specific, varied conditions (e.g., cultural, ethnic, or racial background of test respondents) that, if not detected, introduce measurement biases, and, thus, depress measurement validity (e.g., academic achievement and intelligence). Yet, we see emerging bodies of work where scholars have "put the cart before the horse" when it comes to measurement invariance, and they apply these techniques to varied conditions that, in fact, may reflect domain-relevant information. These bodies of work highlight a larger problem in measurement that likely cuts across many areas of scholarship. In one such area, youth mental health, researchers commonly encounter a set of conditions that nullify the use of measurement invariance, namely discrepancies between survey reports completed by multiple informants, such as parents, teachers, and youth themselves (i.e., informant discrepancies). In this paper, we provide an overview of conceptual, methodological, and measurement factors that should prevent researchers from applying measurement invariance techniques to detect informant discrepancies. Along the way, we cite evidence from the last 15 years indicating that informant discrepancies reflect domain-relevant information. We also apply this evidence to recent uses of measurement invariance techniques in youth mental health. Based on prior evidence, we highlight the implications of applying these techniques to multi-informant data, when the informant discrepancies observed within these data might reflect domain-relevant information. We close by calling for a moratorium on applying measurement invariance techniques to detect informant discrepancies in youth mental health assessments. In doing so, we describe how the state of the science would need to fundamentally "flip" to justify applying these techniques to detect informant discrepancies in this area of work.

Integrating multi-informant reports of youth mental health: A construct validation test of Kraemer and colleagues' (2003) Satellite Model

Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect situational specificity. That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they observe youth. Despite the frequent need to understand and interpret these informant discrepancies, no consensus guidelines exist for integrating informants' reports. The path to building these guidelines starts with identifying factors that reliably predict the level and form of these informant discrepancies, and do so for theoretically and empirically relevant reasons. Yet, despite the knowledge of situational specificity, few approaches to integrating multi-informant data are well-equipped to account for these factors in measurement, and those that claim to be well-positioned to do so have undergone little empirical scrutiny. One promising approach was developed roughly 20 years ago by Kraemer and colleagues (2003). Their Satellite Model leverages principal components analysis (PCA) and strategic selection of informants to instantiate situational specificity in measurement, namely components reflecting variance attributable to the context in which informants observe behavior (e.g., home/non-home), the perspective from which they observe behavior (e.g., self/other), and behavior that manifests across contexts and perspectives (i.e., trait). The current study represents the first construct validation test of the Satellite Model. A mixed-clinical/community sample of 134 adolescents and their parents completed six parallel surveys of adolescent mental health. Adolescents also participated in a series of simulated social interactions with research personnel trained to act as same-age, unfamiliar peers. A third informant (unfamiliar untrained observer) viewed these interactions and completed the same surveys as parents and adolescents. We applied the Satellite Model to each set of surveys and observed high internal consistency estimates for each of the six-item trait (α = 0.90), context (α = 0.84), and perspective (α = 0.83) components. Scores reflecting the trait, context, and perspective components displayed distinct patterns of relations to a battery of criterion variables that varied in the context, perspective, and source of measurement. The Satellite Model instantiates situational specificity in measurement and facilitates unifying conceptual and measurement models of youth mental health.