Understanding the association between normal and maladaptive personality traits: Replication and extension of Morey et al. (2020)

BACKGROUND/OBJECTIVE

The Alternative Model for Personality Disorders (AMPD) within the DSM-5 includes separable components representing general personality dysfunction (Criterion A) and maladaptive personality traits (Criterion B). Some critique Criterion A for accounting for little incremental variance in PD beyond Criterion B. However, Morey et al. (2020) hypothesized that personality dysfunction is a key mechanism through which normal-range traits account for the maladaptive component of personality traits, justifying its inclusion. We sought to replicate and extend this work in a psychiatric sample with mixed methods.

METHOD

In total, 152 participants recruited from mental health clinics completed multiple measures of personality dysfunction and normal-range and maladaptive traits.

RESULTS

Replication was only partially achieved. The degree of incremental prediction of maladaptive traits and the extent to which personality dysfunction explained the relations between normal-range and maladaptive traits varied significantly across traits, and those effects that reached significance were small in magnitude. Removing variance due to personality dysfunction reduced intercorrelations among maladaptive traits by only a small amount.

CONCLUSION

Counter to Morey et al. (2020), our results failed to support maladaptive traits as composites of normal-range traits and personality dysfunction, suggesting that other methods of distinguishing personality pathology severity and style are needed.

Structure of Pathological Personality Traits Through the Lens of the CAT-PD Model

Personality pathology is increasingly conceptualized within hierarchical, dimensional trait models. The Comprehensive Assessment of Traits Relevant to Personality Disorders (CAT-PD) is a pathological-trait measure with potential to improve on currently prevailing instruments because it has wider content coverage; however, its domain-level structure, which is of scientific and clinical interest, is not established. In this study, we investigated the structure and construct validity of the CAT-PD's domain level to facilitate wider use of the measure. We estimated five- and six-factor models with exploratory factor analysis in a pooled sample of eight independent subsamples (N = 3,987) and found that both models fit the data well; each had interpretable factors that were invariant across gender, sample type, and Black/White racial groups; and the factors had good convergent validity with other measures of maladaptive traits, Big Five personality, and interpersonal problems. Our results support the validity of the CAT-PD for assessing multiple levels of the pathological trait hierarchy.

Do self and interpersonal dysfunction cross-sectionally mediate the association between adverse childhood experiences and personality pathology?

Two primary limitations of research on the association between adverse childhood experiences (ACEs) and personality disorder (PD) are (1) failure to consider mechanisms of association and (2) inconsistent results due, in part, to inconsistent approaches to quantifying ACE exposure. The current study will address these limitations by examining the cross-sectional mediating role of self- and interpersonal dysfunction on the association between ACE and three PDs (antisocial, schizotypal, and borderline) using three quantifications of ACE exposure (cumulative, individual, and unique risk). Participants were 149 current or recent psychiatric patients, and data analyses were performed through estimation of a series of cross-sectional mediation models. Taken together, results suggest that (1) the association between ACE and PD is moderate, (2) self- and interpersonal dysfunction cross-sectionally mediate this association, (3) after accounting for variance shared among ACEs, associations between specific ACE subtypes and PD were negligible, (4) much of the association between ACE and PD is accounted for by general processes impacted by all forms of ACE and implicated in all forms of PD, and (5) emotional neglect may uniquely contribute to self- and interpersonal dysfunction and thereby, PD risk.

Age and gender differences in narcissism: A comprehensive study across eight measures and over 250,000 participants

Age and gender differences in narcissism have been studied often. However, considering the rich history of narcissism research accompanied by its diverging conceptualizations, little is known about age and gender differences across various narcissism measures. The present study investigated age and gender differences and their interactions across eight widely used narcissism instruments (i.e., Narcissistic Personality Inventory, Hypersensitive Narcissism Scale, Dirty Dozen, Psychological Entitlement Scale, Narcissistic Personality Disorder Symptoms from the Diagnostic and Statistical Manual of Mental Disorders, Version IV, Narcissistic Admiration and Rivalry Questionnaire-Short Form, Single-Item Narcissism Scale, and brief version of the Pathological Narcissism Inventory). The findings of Study 1 (N = 5,736) revealed heterogeneity in how strongly the measures are correlated. Some instruments loaded clearly on one of the three factors proposed by previous research (i.e., Neuroticism, Extraversion, Antagonism), while others cross-loaded across factors and in distinct ways. Cross-sectional analyses using each measure and meta-analytic results across all measures (Study 2) with a total sample of 270,029 participants suggest consistent linear age effects (random effects meta-analytic effect of r = -.104), with narcissism being highest in young adulthood. Consistent gender differences also emerged (random effects meta-analytic effect was -.079), such that men scored higher in narcissism than women. Quadratic age effects and Age × Gender effects were generally very small and inconsistent. We conclude that despite the various conceptualizations of narcissism, age and gender differences are generalizable across the eight measures used in the present study. However, their size varied based on the instrument used. We discuss the sources of this heterogeneity and the potential mechanisms for age and gender differences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Developing and Validating a Facial Emotion Recognition Task With Graded Intensity

Facial emotion recognition (FER) tasks are often digitally altered to vary expression intensity; however, such tasks have unknown psychometric properties. In these studies, an FER task was developed and validated-the Graded Emotional Face Task (GEFT)-which provided an opportunity to examine the psychometric properties of such tasks. Facial expressions were altered to produce five intensity levels for six emotions (e.g., 40% anger). In Study 1, 224 undergraduates viewed subsets of these faces and labeled the expressions. An item selection algorithm was used to maximize internal consistency and balance gender and ethnicity. In Study 2, 219 undergraduates completed the final GEFT and a multimethod battery of validity measures. Finally, in Study 3, 407 undergraduates oversampled for borderline personality disorder (BPD) completed the GEFT and a self-report BPD measure. Broad FER scales (e.g., overall anger) demonstrated evidence of reliability and validity; however, more specific subscales (e.g., 40% anger) had more variable psychometric properties. Notably, ceiling/floor effects appeared to decrease both internal consistency and limit external validity correlations. The findings are discussed from the perspective of measurement issues in the social cognition literature.

Classification and assessment of fear and anxiety in personality and psychopathology

We examine fear and anxiety in the context of structural models of personality (the five-factor model, or FFM) and psychopathology (the Hierarchical Taxonomy of Psychopathology, or HiTOP); we also highlight important issues related to their assessment. Anxiety is a sustained, future-oriented response to potential threat. Trait measures of anxiety represent a core facet within the broader domain of neuroticism in the FFM. Anxiety-related symptoms are indicators of the distress subfactor within the internalizing spectrum in HiTOP. In contrast, fear is a brief, present-focused response to an acute threat. We distinguish between two ways of assessing individual differences in fear. The first type assesses phobic responses to specific stimuli. Phobia measures are moderately correlated with measures of neuroticism in the FFM and define the fear subfactor of internalizing in HiTOP. The second type assesses individual differences in harm avoidance versus risk taking. Measures of risk taking (i.e., low fear) are moderately related to disinhibition/low conscientiousness and antagonism/low agreeableness in the FFM and are indicators of the externalizing superspectrum in HiTOP.

Construct validation of narrative coherence: Exploring links with personality functioning and psychopathology

Narrative coherence serves as an index of the unity in an individual's sense of self-integrating their past self with their present self and allowing them to pursue meaningful goals for their future. It has been assessed using the Life Story Interview. Personality functioning is used to describe an individual's ability to develop stable and integrated representations of the self and others as well as their ability to develop and maintain stable, intimate, and affiliative relationships and meaningfully empathize with others. We studied the links between narrative coherence (based on Life Story Interviews) and personality functioning (as indexed by clinician ratings using the Levels of Personality Functioning Scale) in a psychiatric sample (N = 134) and more generally studied the nomological net surrounding narrative coherence. Contrary to predictions, results revealed that narrative coherence does not serve as a marker of personality functioning. However, we found evidence of an association between narrative coherence and measures of extraversion and psychosocial functioning. This study represents an important step in integrating narrative identity with empirically derived structural models of personality pathology and psychopathology. Implications for future research are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Normative data for PID-5 domains, facets, and personality disorder composites from a representative sample and comparison to community and clinical samples

The introduction of the alternative model of personality disorders in the fifth edition of the Diagnostic and Statistical Model of Mental Disorders (American Psychiatric Association, 2013) represented a substantive change in how personality disorders (PDs) are diagnosed. One barrier to its adoption (among several) in clinical practice, however, is a lack of information as to what constitutes an elevated score on the 25 domains and facets that comprise Criterion B. Unique sets of facets can be configured to assess any 1 of 6 PDs retained in the alternative model of personality disorders; each of these facets can in turn be added to create a PD sum score. In the current study, using the Personality Inventory for Diagnostic and Statistical Model of Mental Disorders, Fifth Edition (Krueger et al., 2012), we report mean scores using this instrument that align with 1.0, 1.5, and 2.0 SD elevations for the 25 facets, five domains, and six PD composites on the basis of Krueger and colleagues' (2012) representative sample and compare these with those obtained from a community and a clinical sample. These normative data may be useful to clinicians in determining whether a client has elevated scores on pathological personality domains, facets, or PDs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The Hierarchical Taxonomy of Psychopathology (HiTOP) in psychiatric practice and research

The Hierarchical Taxonomy of Psychopathology (HiTOP) has emerged out of the quantitative approach to psychiatric nosology. This approach identifies psychopathology constructs based on patterns of co-variation among signs and symptoms. The initial HiTOP model, which was published in 2017, is based on a large literature that spans decades of research. HiTOP is a living model that undergoes revision as new data become available. Here we discuss advantages and practical considerations of using this system in psychiatric practice and research. We especially highlight limitations of HiTOP and ongoing efforts to address them. We describe differences and similarities between HiTOP and existing diagnostic systems. Next, we review the types of evidence that informed development of HiTOP, including populations in which it has been studied and data on its validity. The paper also describes how HiTOP can facilitate research on genetic and environmental causes of psychopathology as well as the search for neurobiologic mechanisms and novel treatments. Furthermore, we consider implications for public health programs and prevention of mental disorders. We also review data on clinical utility and illustrate clinical application of HiTOP. Importantly, the model is based on measures and practices that are already used widely in clinical settings. HiTOP offers a way to organize and formalize these techniques. This model already can contribute to progress in psychiatry and complement traditional nosologies. Moreover, HiTOP seeks to facilitate research on linkages between phenotypes and biological processes, which may enable construction of a system that encompasses both biomarkers and precise clinical description.

Role of pregaming motives in accounting for links between maladaptive personality traits and drinking consequences

College students are at heightened risk of engaging in unhealthy alcohol use that leads to negative consequences (e.g., motor vehicle accidents, poor academic performance). Understanding how individual differences, such as maladaptive personality traits, contribute to that risk could improve intervention efforts. A potential pathway through which personality confers risk for consequences is by influencing students' motivation to drink. In this study of 441 college students, we investigated whether different motivations to pregame, a particularly risky and common drinking practice on college campuses, accounts for links between maladaptive traits and alcohol-related consequences. Results of bivariate analyses showed that all pregaming motives and maladaptive traits (except detachment) were strongly correlated with negative consequences. In path analytic models that adjusted for shared variance between pregaming motives and between maladaptive traits, results showed that traits had indirect effects on total drinking consequences via individual differences in pregaming motives as well as direct effects that were independent of motives. Specifically, antagonism, disinhibition, and negative affectivity predicted more drinking consequences via stronger motives to pregame for instrumental reasons over and above the general motivation to pregame, whereas detachment predicted fewer consequences via weaker instrumental pregaming motives. Antagonism and disinhibition were also associated with more drinking consequences, and detachment with fewer consequences, over and above pregaming motives and general personality problems. Our study indicates that one way maladaptive personality traits may shape alcohol-related consequences in college students is by associations with their motivations to pregame. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Answering questions about the Hierarchical Taxonomy of Psychopathology (HiTOP): Analogies to whales and sharks miss the boat

This commentary discusses questions and misconceptions about HiTOP raised by Haeffel et al. (2021). We explain what the system classifies and why it is descriptive and atheoretical, highlighting benefits and limitations of this approach. We clarify why the system is organized according to patterns of covariation or comorbidity among signs and symptoms of psychopathology, and we discuss how it is designed to be falsifiable and revised in a manner that is responsive to data. We refer to the body of evidence for HiTOP's external validity and for its scientific and clinical utility. We further describe how the system is currently used in clinics. In sum, many of Haeffel et al.'s concerns about HiTOP are unwarranted, and for those concerns that reflect real current limitations of HiTOP, our consortium is working to address them, with the aim of creating a nosology that is comprehensive and useful to both scientists and clinicians.

Development of Measures for the Hierarchical Taxonomy of Psychopathology (HiTOP): A Collaborative Scale Development Project

In this article, we describe the collaborative process that is underway to develop measures for the Hierarchical Taxonomy of Psychopathology (HiTOP). The HiTOP model has generated much interest in the psychiatric literature in recent years, but research applications and clinical translation of the model require measures that are specifically keyed to the model. To that end, the Measures Development Workgroup of HiTOP has been engaged in a collaborative effort to develop both questionnaire and interview methods that (a) are specifically tied to the elements of the HiTOP structure, and (b) provide one means of testing that structure. The work has been divided among five subgroups that are focused on specific HiTOP spectra. Our scale development methods are rooted in the principles of construct valid scale development. This report describes Phase 1 of this project, summarizes the methods and results thus far, and discusses the interplay between measurement and HiTOP model revisions. Finally, we discuss future phases of the scale development and the steps we are taking to improve clinical utility of the final measures.

Friend Overprotection in Emerging Adulthood: Associations with Autonomy Support and Psychosocial Adjustment

Overprotection is a known risk factor in parent-child relationships, but has received little attention in the context of friendships. No studies have examined overprotection in emerging-adult friendships. Yet, overprotection may be especially significant during this developmental period given the prevalence of autonomy-seeking and risk-taking behaviors. In this study, we thus investigated whether overprotection is a feature of emerging-adult friendships that is meaningfully associated with psychosocial adjustment. We also examined whether friend autonomy support is one mechanism by which friend overprotection impacts outcomes. University students (N = 363) completed a new self-report measure of friend overprotection developed for this study, and previously validated measures of relationship qualities (friendship quality, helicopter parenting) and internalizing symptoms (social anxiety, depression). We found initial support for the reliability and validity of the new friend overprotection measure. A path analysis revealed positive associations between friend overprotection and friendship quality and internalizing symptoms, with friend autonomy support as an explanatory mechanism of these associations. Findings are novel as they suggest that overprotection is a salient feature of many friendships during emerging adulthood that may impact psychosocial adjustment in both helpful and harmful ways.

Impulsivity, Affect, and Stress in Daily Life: Examining a Cascade Model of Urgency

Using multilevel structural equation modeling, the authors examined within- and between-person predictors of daily impulsivity, with a particular focus on testing a cascade model of affect and daily stress in a 100-day daily diary study of 101 psychiatric patients with personality disorder diagnoses. On average (i.e., fixed effect), within-person increases in daily stress were associated with increased daily impulsivity, both independently and as accounted for by positive associations with increased negative and positive affect. Higher Personality Inventory for DSM-5 (PID-5) Impulsivity scores were associated with amplified within-person links between impulsivity and daily stress and negative affect, but not the links between daily stress and either positive or negative affect. The results of this cascade model are consistent with the hypothesized links between daily affect and stress and daily impulsivity while providing further evidence for the validity of the PID-5 Impulsivity scale and its ability to predict daily impulsivity above and beyond fluctuations in affect and stress.

Rethinking the Diagnosis of Mental Disorders: Data-Driven Psychological Dimensions, Not Categories, as a Framework for Mental-Health Research, Treatment, and Training

Generations of psychologists have been taught that mental disorder can be carved into discrete categories, each qualitatively different from the others and from normality. This model is now outdated. A preponderance of evidence indicates that (a) individual differences in mental health (health vs. illness) are a matter of degree, not kind, and (b) broad mental-health conditions (e.g., internalizing) account for the tendency of narrower ones (e.g., depression, social anxiety, panic) to co-occur. With these observations in mind, we discuss an alternative diagnostic system, called the Hierarchical Taxonomy of Psychopathology (HiTOP), that describes the broad and specific components of mental disorder. It deconstructs traditional diagnostic categories, such as those listed in the Diagnostic and Statistical Manual of Mental Disorders, and recasts them in terms of profiles of dimensions. Recent findings support the utility of this approach for mental-health research and intervention efforts. HiTOP has the potential to put mental-health research, training, and treatment on a much sounder scientific footing.

The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence

Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.

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.

Self-informant Agreement for Personality and Evaluative Person Descriptors: Comparing Methods for Creating Informant Measures

Little attention typically is paid to the way self-report measures are translated for use in self-informant agreement studies. We studied two possible methods for creating informant measures: (a) the traditional method in which self-report items were translated from the first- to the third-person and (b) an alternative meta-perceptual method in which informants were directed to rate their perception of the targets' self-perception. We hypothesized that the latter method would yield stronger self-informant agreement for evaluative personality dimensions measured by indirect item markers. We studied these methods in a sample of 303 undergraduate friendship dyads. Results revealed mean-level differences between methods, similar self-informant agreement across methods, stronger agreement for Big Five dimensions than for evaluative dimensions, and incremental validity for meta-perceptual informant rating methods. Limited power reduced the interpretability of several sparse acquaintanceship effects. We conclude that traditional informant methods are appropriate for most personality traits, but meta-perceptual methods may be more appropriate when personality questionnaire items reflect indirect indicators of the trait being measured, which is particularly likely for evaluative traits.

Personalized models of personality disorders: using a temporal network method to understand symptomatology and daily functioning in a clinical sample

BACKGROUND

An ongoing challenge in understanding and treating personality disorders (PDs) is a significant heterogeneity in disorder expression, stemming from variability in underlying dynamic processes. These processes are commonly discussed in clinical settings, but are rarely empirically studied due to their personalized, temporal nature. The goal of the current study was to combine intensive longitudinal data collection with person-specific temporal network models to produce individualized symptom-level structures of personality pathology. These structures were then linked to traditional PD diagnoses and stress (to index daily functioning).

METHODS

Using about 100 daily assessments of internalizing and externalizing domains underlying PDs (i.e. negative affect, detachment, impulsivity, hostility), a temporal network mapping approach (i.e. group iterative multiple model estimation) was used to create person-specific networks of the temporal relations among domains for 91 individuals (62.6% female) with a PD. Network characteristics were then associated with traditional PD symptomatology (controlling for mean domain levels) and with daily variation in clinically-relevant phenomena (i.e. stress).

RESULTS

Features of the person-specific networks predicted paranoid, borderline, narcissistic, and obsessive-PD symptom counts above average levels of the domains, in ways that align with clinical conceptualizations. They also predicted between-person variation in stress across days.

CONCLUSIONS

Relations among behavioral domains thought to underlie heterogeneity in PDs were indeed associated with traditional diagnostic constructs and with daily functioning (i.e. stress) in person-specific networks. Findings highlight the importance of leveraging data and models that capture person-specific, dynamic processes, and suggest that person-specific networks may have implications for precision medicine.

Withdrawal Symptom, Treatment Mechanism, and/or Side Effect? Developing an Explicit Measurement Model for Smoking Cessation Research

INTRODUCTION

Assessment of withdrawal symptoms, treatment mechanisms, and side effects is central to understanding and improving smoking cessation interventions. Though each domain is typically assessed separately with widely used questionnaires to separately assess each domain (eg, Minnesota Nicotine Withdrawal Scale = withdrawal; Questionnaire of Smoking Urges-Brief = craving; Positive and Negative Affect Schedule = affect; symptom checklist = side effects), there are substantial problems with this implicit "one questionnaire equals one construct" measurement model, including item overlap across questionnaires. This study sought to clarify the number and nature of constructs assessed during smoking cessation by developing an explicit measurement model.

METHODS

Two subsamples were randomly created from 1246 smokers in a clinical trial. Exploratory and confirmatory factor analyses were conducted to identify and select a model that best represented the data. Measurement invariance was assessed to determine if the factors and their content were consistent prior to and during the quit. Improvement in construct overlap within this model was compared against the implicit measurement model using correlational analyses.

RESULTS

A 5-factor measurement model composed of negative affect, somatic symptoms, sleep problems, positive affect, and craving fits the data well prior to and during quitting. All factor content except somatic symptoms was consistent over time. Correlational analyses indicated that the 5-factor model attenuated construct overlap compared to the implicit model.

CONCLUSIONS

The models generated from data-driven approaches (eg, the 5-factor model) reduced overlap and better represented the constructs underlying these measures. This approach created distinct, stable constructs that span over measures of side effects and potential treatment mechanisms.

IMPLICATIONS

This study demonstrated that measures assessing treatment mechanisms, withdrawal symptoms, and side effects contain problematic overlap that reduces the clarity of these key constructs. The use of data-driven approaches showed that these measures do not map on to their posited latent constructs (eg, the Minnesota Nicotine Withdrawal Scale does not yield a withdrawal factor). Rather, these measures form distinct, basic processes that may represent more meaningful constructs for future research on cessation and treatment. Assessments designed to individually examine these processes may improve the study of treatment mechanisms.

Introduction to the special issue on methodological and statistical advancements in clinical assessment

This article introduces the rationale for developing a special issue on methodological and statistical advancements in clinical assessment, which will appear approximately 25 years after a similar 1995 issue that produced many seminal and highly cited articles. We commissioned articles from a range of expert scholars in important areas of psychometrics (reliability, validity, scale construction, item response theory, and factor analysis) and assessment methodology in specific contexts (multicultural, clinical prediction, response bias, experience-sampling, and neuroscience) in addition to a lead article that considers clinical assessment research in the broader open science framework. We briefly summarize these contributions and their impact. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) into clinical practice

OBJECTIVE

Diagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge.

METHOD

The present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice.

RESULTS

Potential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed.

CONCLUSIONS

HiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Maximizing the applied value of structural models of psychopathology: Introduction to a special issue of Personality and Mental Health

Structural models of mental illness delineate the major phenotypic dimensions of psychopathology. These evidence-based models, such as the Hierarchical Taxonomy of Psychopathology, are poised to supplement-and even supplant-categorical diagnostic systems in research, assessment and treatment arenas. This special issue of Personality and Mental Health explores a new wave of research into structural models' utility for theory testing and clinical practice. Can structural approaches advance etiological research by clarifying connections between psychopathology and social, cultural, psychological and biological vulnerability processes? Can dimensional models of mental illness assimilate consensus models of temperament and personality? Can this paradigm identify optimal treatment targets and guide treatment design and selection? The studies compiled here all look beyond nosology to understand how structural models are changing research and clinical landscapes in mental health disciplines. We envision this set of articles as a blueprint for further investigation into the configuration, research utility and clinical application of structural approaches to diagnostic classification. © 2020 John Wiley & Sons, Ltd.

Pathological narcissism and psychosocial functioning

Pathological narcissism involves maladaptive efforts to regulate the self and is conceptualized by 2 key features: narcissistic grandiosity and narcissistic vulnerability. Prior research has found that narcissism is associated with poorer functioning over the long term, especially interpersonal functioning. Despite this, the specific contributions of grandiosity and vulnerability to different domains of functioning remain understudied. In particular, there has been scant literature investigating pathological narcissism and its effects on functioning in large clinical samples. Understanding how grandiosity and vulnerability each contributes to dysfunction will help inform the conceptualization, prognosis, and treatment recommendations, alike, for narcissism. This study examined the relations between narcissism and different domains of dysfunction in a sample of 288 current or recent psychiatric outpatients. Results suggest that narcissistic grandiosity is associated with specific deficits in interpersonal functioning, whereas vulnerability is associated with all forms of dysfunction. However, after accounting for the shared variance in the predictors, vulnerability continues to be predictive of all forms of dysfunction, whereas grandiosity serves as a modest protective factor. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Doing justice to the richness of personality: Introduction to the special issue "New Approaches to the Measurement of Personality: Translational Thoughts to Applied, Educational, and Clinical Settings"

Personality and its assessment are growth areas in the psychological literature and are important in applied practice. In the decades since personality reemerged as a viable scientific construct following the person-situation debate, we have learned much about the nature and full breadth of personality traits as well as refined methods for the assessment of personality characteristics. Indeed, the personality assessment literature currently is vibrant and now intersects with numerous other disciplines, including traditional psychometrics, developmental psychology and psychopathology, clinical psychology, neuroscience, industrial-organizational psychology, and educational and social psychology. This growth in the personality assessment literature inspired us to organize an expert meeting on personality assessment. This 2-day event-which was held in Oostduinkerke (Belgium) in September 2016-brought together junior and senior personality assessment researchers as well as a number of methodologists from around the world and focused on sharing modern viewpoints on personality assessment from a wide diversity of perspectives. Following the meeting, we envisioned this special issue, including papers from meeting attendees addressing topics that emerged from the discussion sessions and are the result of fruitful and often new collaborations. Although the papers were invited, all were subjected to critical peer review and underwent revisions prior to their publication here. In what follows, the overall rationale for the present special issue and the connection between the different papers will be outlined from an integrative perspective. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Does the number of response options matter? Psychometric perspectives using personality questionnaire data

Psychological tests typically include a response scale whose purpose it is to organize and constrain the options available to respondents and facilitate scoring. One such response scale is the Likert scale, which initially was introduced to have a specific 5-point form. In practice, such scales have varied considerably in the nature and number of response options. However, relatively little consensus exists regarding several questions that have emerged regarding the use of Likert-type items. First, is there a "psychometrically optimal" number of response options? Second, is it better to include an even or odd number of response options? Finally, do visual analog items offer any advantages over Likert-type items? We studied these questions in a sample of 1,358 undergraduates who were randomly assigned to groups to complete a common personality measure using response scales ranging from 2 to 11 options, and a visual analog condition. Results revealed attenuated psychometric precision for response scales with 2 to 5 response options; interestingly, however, the criterion validity results did not follow this pattern. Also, no psychometric advantages were revealed for any response scales beyond 6 options, including visual analogs. These results have important implications for psychological scale development. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Narcissist or narcissistic? Evaluation of the latent structure of narcissistic personality disorder

We investigated the latent structure of narcissistic personality disorder by comparing dimensional, hybrid, and categorical latent variable models, using confirmatory factor analysis (CFA), nonparametric and semiparametric factor analysis, and latent class analysis, respectively. We first explored these models in a clinical sample and then preregistered replication analyses in 4 additional data sets (with national, undergraduate, community, and mixed community/clinical samples) to test whether the best-fitting model would generalize across different data sets with different sample compositions. A 1-factor CFA outperformed categorical models in fit and reliability, suggesting the criteria do not serve to distinguish a narcissist class or subtypes; rather, a narcissistic dimension underlies the narcissistic personality disorder construct. The CFA also outperformed hybrid models, indicating that people fall within the same continuous distribution, rather than composing homogenous groups of relative severity (nonparametric factor analysis) or pulling apart into mixtures of discrete distributions (semiparametric factor analysis) along that spectrum. (PsycINFO Database Record

The latent structure of self-harm

The underlying structure of self-harm behaviors is not well-understood; for example, whether suicidality and nonsuicidal self-injury (NSSI) lie on a single dimension or two separate dimensions is unknown. We used confirmatory factor analyses to examine the factor structure of self-harm items in a clinical/community sample (N = 641). Of three alternative factor structures (one-factor, correlated-factors, bifactor), the bifactor model fit best. The general factor, representing overlap between suicidality and NSSI, captured the majority of model variance and was the strongest predictor of psychosocial correlates. The NSSI-specific factor captured a moderate amount of variance and correlated uniquely with both antagonistic traits and obsessive-compulsive tendencies; this factor was named NSSI. The suicidality-specific factor explained little model variance and was weakly associated with external criteria; this factor was named low attraction to life. Results are interpreted as preliminary evidence for the utility of bifactor modeling in understanding the latent structure of self-harm. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Progress in achieving quantitative classification of psychopathology

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.

Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative

The latent structure of schizotypy and psychosis-spectrum symptoms remains poorly understood. Furthermore, molecular genetic substrates are poorly defined, largely due to the substantial resources required to collect rich phenotypic data across diverse populations. Sample sizes of phenotypic studies are often insufficient for advanced structural equation modeling approaches. In the last 50 years, efforts in both psychiatry and psychological science have moved toward (1) a dimensional model of psychopathology (eg, the current Hierarchical Taxonomy of Psychopathology [HiTOP] initiative), (2) an integration of methods and measures across traits and units of analysis (eg, the RDoC initiative), and (3) powerful, impactful study designs maximizing sample size to detect subtle genomic variation relating to complex traits (the Psychiatric Genomics Consortium [PGC]). These movements are important to the future study of the psychosis spectrum, and to resolving heterogeneity with respect to instrument and population. The International Consortium of Schizotypy Research is composed of over 40 laboratories in 12 countries, and to date, members have compiled a body of schizotypy- and psychosis-related phenotype data from more than 30000 individuals. It has become apparent that compiling data into a protected, relational database and crowdsourcing analytic and data science expertise will result in significant enhancement of current research on the structure and biological substrates of the psychosis spectrum. The authors present a data-sharing infrastructure similar to that of the PGC, and a resource-sharing infrastructure similar to that of HiTOP. This report details the rationale and benefits of the phenotypic data collective and presents an open invitation for participation.

Links between depression and openness and its facets

Most studies on depression and personality have focused on the role of Neuroticism and Extraversion. Openness is a much less studied trait in this literature, as past studies investigating Openness and depression often have found non-significant correlations between them. However, past studies mostly have investigated Openness and depression at the domain level and used non-clinical samples. In the present study, the relationship between depression and Openness at the domain and facet levels was examined in a sample of 266 participants recruited from outpatient psychiatric settings. Findings showed that although the Openness domain was significantly related to depression, it did not account for a significant proportion of unique variance for depression. However, Openness did account for a significant proportion of unique variance for depression at the facet level, even after accounting for sex, age, Neuroticism and Extraversion. Specifically, unique effects emerged for the facets of Aesthetics positively predicting Depression and Values negatively predicting Depression and Anhedonia. Clinical and theoretical implications are discussed. Copyright © 2018 John Wiley & Sons, Ltd.

The construct validity of general and specific dimensions of personality pathology

BACKGROUND

Modern personality disorder (PD) theory and research attempt to distinguish transdiagnostic impairments common to all PDs from constructs that explain varied PD expression. Bifactor modeling tests such distinctions; however, the only published PD criteria bifactor analysis focused on only 6 PDs and did not examine the model's construct validity.

METHODS

We examined the structure and construct validity of competing PD criteria models using confirmatory and exploratory factor analytic methods in 628 patients who completed structured diagnostic interviews and self-reports of personality traits and impairment.

RESULTS

Relative to alternative models, two bifactor models - one confirmatory model with 10 specific factors for each PD (acceptable fit) and one exploratory model with four specific factors resembling broad personality domains (excellent fit) - fit best and were compared via connections with external criteria. General and specific factors related meaningfully and differentially to personality traits, internalizing symptoms, substance use, and multiple indices of psychosocial impairment. As hypothesized, the general factor predicted interpersonal dysfunction above and beyond other psychopathology. The general factor also correlated strongly with many pathological personality traits.

CONCLUSIONS

The present study supported the validity of a model with both a general PD impairment dimension and separate individual difference dimensions; however, it also indicated that currently prominent models, which assume general PD impairments and personality traits are non-overlapping, may be misspecified.

Personality traits and maladaptivity: Unipolarity versus bipolarity

OBJECTIVE

Dimensional personality trait models have gained favor as an alternative to categorical personality disorder (PD) diagnosis; however, debate persists regarding whether these traits should be conceptualized as maladaptive at both extremes (i.e., maladaptively bipolar) or just one trait pole (i.e., unipolar).

METHOD

To inform the debate on maladaptive bipolarity, linear and nonlinear relations between personality traits and dysfunction were examined in a large psychiatric patient sample (N = 365). Participants self-reported on normal-range and pathological personality domains, life satisfaction, specific interpersonal problems, and broad psychosocial functioning. In addition, participants were interviewed regarding specific psychiatric symptoms and broad psychosocial functioning.

RESULTS

All traits related moderately to strongly with at least one dysfunction variable. All traits were predominantly correlated with dysfunction at one pole; however, several small linear relations provided some evidence for maladaptively high Extraversion and Agreeableness. None of the significant nonlinear effects provided clear evidence for maladaptivity at both ends of any trait.

CONCLUSIONS

Taken together, these results suggest that broad personality traits are predominantly maladaptive at one extreme; however, in limited cases, the opposite extreme may also be maladaptive.

Three-way Interaction of Neuroticism, Extraversion, and Conscientiousness in the Internalizing Disorders: Evidence of Disorder Specificity in a Psychiatric Sample

It is well-established that neuroticism, extraversion, and conscientiousness are individually associated with internalizing disorders, but research suggests that these main effects may be qualified by a three-way interaction when predicting depression. The current study was the first to examine this three-way interaction in a psychiatric sample (N=463) with a range of internalizing symptoms as the outcomes. Using two omnibus personality inventories and a diagnostic interview, the expected three-way interaction emerged most consistently for symptoms of major depression, and there was also evidence of synergistic effects for post-traumatic stress disorder and generalized anxiety disorder. Findings indicate that, even in a clinically-distressed and currently-disordered sample, high levels of extraversion and conscientiousness protect against distress disorders for those with high levels of neuroticism.

Assessing inter-model continuity between the Section II and Section III conceptualizations of borderline personality disorder in DSM-5

DSM-5 includes 2 competing models of borderline personality disorder (BPD) in Sections II and III. Empirical comparisons between these models are required to understand and improve intermodel continuity. We compared Section III BPD traits to Section II BPD criteria assessed via semistructured interviews in 455 current/recent psychiatric patients using correlation and regression analyses, and also evaluated the incremental predictive power of other Section III traits. In addition, we tested the hypothesis that self-harm would incrementally predict BPD Criterion 5 over the Section III traits. Results supported Section III BPD traits as an adequate representation of traditional BPD symptomatology, although modifications that would increase intermodel continuity were identified. Finally, we found support for the incremental validity of suspiciousness, anhedonia, perceptual dysregulation, and self-harm, suggesting possible gaps in the Section III PD trait definitions. (PsycINFO Database Record

Clarifying the Links of Conscientiousness With Internalizing and Externalizing Psychopathology

OBJECTIVE

Although Conscientiousness/disinhibition plays a substantial role in internalizing and externalizing psychopathology, the underlying mechanisms are not well understood. We aim to clarify facet-level associations and to examine whether (a) impairment mediates the link of Conscientiousness with internalizing and externalizing symptoms, and (b) demoralization (assessed via Neuroticism) accounts for their associations.

METHOD

A total of 450 participants (M_age  = 42; primarily female and Caucasian) who reported current/recent psychiatric treatment completed two measures of domain- and facet-level traits (i.e., NEO-PI-3, PID-5), as well as interview measures of impairment and disorders. Correlation, regression, and mediation analyses were conducted.

RESULTS

Internalizing disorders (and particularly, the distress disorders) were uniquely associated with facets related to low self-efficacy, whereas externalizing disorders were uniquely associated with risk-taking and disregarding rules. For the internalizing disorders only, these associations were reduced after accounting for Neuroticism, though associations with distress disorders remained significant. Impairment mediated the link between Conscientiousness and symptoms for internalizing disorders, but not consistently for externalizing disorders.

CONCLUSIONS

The internalizing and externalizing disorders are associated with Conscientiousness due to different facet-level content. Demoralization and impairment both contribute to the link between internalizing disorders and Conscientiousness, whereas neither process accounts substantially for the relation of externalizing disorders with Conscientiousness.

Personality and dyadic adjustment: Who you think your partner is really matters

Research has demonstrated consistently that a broad range of personality traits affect intimate relationship quality; however, most of this research has used only self-ratings of personality. More recently, researchers have acknowledged that how partners perceive one another may also influence intimate relationships. The primary goal of the present study was to determine the predictive utility of partner-ratings of personality above and beyond self-ratings for explaining dyadic adjustment in a community sample of committed heterosexual couples (N = 87). This research was embedded within a Big Three model of personality, using both self- and other-rating measures that tap the core of these broad dimensions of personality and other specific trait facets across the normal-abnormal spectrum. An actor-partner interdependence model (APIM) was used, which estimates both actor (self) and partner effects, and models interdependence that is inherent in dyadic data. Both men and women reported greater relationship discord to the extent that they rated their partners as high in negative temperament and disinhibition, and low in positive temperament, controlling for self-ratings of personality. Further, partner-ratings of numerous other specific trait scales were uniquely associated with dyadic adjustment, providing considerable detailed information about personality-adjustment relations beyond the core of the 3 broad trait dimensions. Results of the present study highlight the importance of routinely assessing both self- and partner-ratings of personality, from both partners of a dyad, to explain intimate-relationship quality more fully and accurately. We discuss the implications of this research with regard to how it may inform treatment of relationship discord. (PsycINFO Database Record

Stability and fluctuation of personality disorder features in daily life

Very little is known about the daily stability and fluctuation of personality pathology. To address this gap in knowledge, we investigated the naturalistic manifestation of personality pathology over the course of 100 days. A group of individuals (N = 101) diagnosed with any personality disorder (PD) completed a daily diary study over 100 consecutive days (Mdn = 94 days, range = 33-101 days). Participants completed daily ratings of 30 manifestations of personality pathology. Patterns of stability and variability over the course of the study were then examined. Results indicated that individual PD manifestations and domains of PD manifestations were variable across days and differed widely in their frequency. Additionally, individual averages and level of variability in PD domains were highly stable across months, individual averages of PD domains were predicted by baseline dispositional ratings of PD traits with a high degree of specificity, and daily variability PD domains was associated with elevated levels of PD traits. This pattern of findings suggests that dynamic processes of symptom exacerbation and diminution that are stable in mean level and variability in expression over time characterizes personality pathology. Further, dispositional ratings are significant predictors of average daily expression of PD features. (PsycINFO Database Record

Incremental Validity of the DSM-5 Section III Personality Disorder Traits With Respect to Psychosocial Impairment

Traditional personality disorders (PDs) are associated with significant psychosocial impairment. DSM-5 Section III includes an alternative hybrid personality disorder (PD) classification approach, with both type and trait elements, but relatively little is known about the impairments associated with Section III traits. Our objective was to study the incremental validity of Section III traits--compared to normal-range traits, traditional PD criterion counts, and common psychiatric symptomatology--in predicting psychosocial impairment. To that end, 628 current/recent psychiatric patients completed measures of PD traits, normal-range traits, traditional PD criteria, psychiatric symptomatology, and psychosocial impairments. Hierarchical regressions revealed that Section III PD traits incrementally predicted psychosocial impairment over normal-range personality traits, PD criterion counts, and common psychiatric symptomatology. In contrast, the incremental effects for normal-range traits, PD symptom counts, and common psychiatric symptomatology were substantially smaller than for PD traits. These findings have implications for PD classification and the impairment literature more generally.

Examining the Dynamic Structure of Daily Internalizing and Externalizing Behavior at Multiple Levels of Analysis

Psychiatric diagnostic covariation suggests that the underlying structure of psychopathology is not one of circumscribed disorders. Quantitative modeling of individual differences in diagnostic patterns has uncovered several broad domains of mental disorder liability, of which the Internalizing and Externalizing spectra have garnered the greatest support. These dimensions have generally been estimated from lifetime or past-year comorbidity patters, which are distal from the covariation of symptoms and maladaptive behavior that ebb and flow in daily life. In this study, structural models are applied to daily diary data (Median = 94 days) of maladaptive behaviors collected from a sample (N = 101) of individuals diagnosed with personality disorders (PDs). Using multilevel and unified structural equation modeling, between-person, within-person, and person-specific structures were estimated from 16 behaviors that are encompassed by the Internalizing and Externalizing spectra. At the between-person level (i.e., individual differences in average endorsement across days) we found support for a two-factor Internalizing-Externalizing model, which exhibits significant associations with corresponding diagnostic spectra. At the within-person level (i.e., dynamic covariation among daily behavior pooled across individuals) we found support for a more differentiated, four-factor, Negative Affect-Detachment-Hostility-Disinhibition structure. Finally, we demonstrate that the person-specific structures of associations between these four domains are highly idiosyncratic.

Confirmatory factor analyses of DSM-5 posttraumatic stress disorder symptoms in psychiatric samples differing in Criterion A status

We examined the symptom structure of posttraumatic stress disorder (PTSD), as defined by American Psychiatric Association (2013. Diagnostic and statistical manual of mental disorders (DSM-5) (5th ed.). Washington, DC: Author). DSM-5 introduced notable changes to PTSD criteria, and the structural impact of these changes is unclear. We conducted confirmatory factor analyses comparing seven commonly investigated or recently proposed PTSD models in a large sample of interviewed psychiatric outpatients reporting a Criterion A trauma (n = 310) or a sub-threshold (non-Criterion A) stressful life event (n = 284). A novel six-factor dysphoria model and recently proposed seven-factor hybrid model outperformed other models and fit the data equally well in both groups. Our results suggest equal fit for both models, although the six-factor model is more parsimonious. These results have implications for research regarding the mechanisms underlying and the treatments targeting PTSD.

Daily Interpersonal and Affective Dynamics in Personality Disorder

In this naturalistic study, the authors adopt the lens of interpersonal theory to examine between- and within-person differences in dynamic processes of daily affect and interpersonal behaviors among individuals (N = 101) previously diagnosed with personality disorders who completed daily diaries over the course of 100 days. Dispositional ratings of interpersonal problems and measures of daily stress were used as predictors of daily shifts in interpersonal behavior and affect in multilevel models. Results indicate that ∼40%-50% of the variance in interpersonal behavior and affect is due to daily fluctuations, which are modestly related to dispositional measures of interpersonal problems but strongly related to daily stress. The findings support conceptions of personality disorders as a dynamic form of psychopathology involving the individuals interacting with and regulating in response to the contextual features of their environment.

A metastructural model of mental disorders and pathological personality traits

BACKGROUND

Psychiatric co-morbidity is extensive in both psychiatric settings and the general population. Such co-morbidity challenges whether DSM-based mental disorders serve to effectively carve nature at its joints. In response, a substantial literature has emerged showing that a small number of broad dimensions - internalizing, externalizing and psychoticism - can account for much of the observed covariation among common mental disorders. However, the location of personality disorders within this emerging metastructure has only recently been studied, and no studies have yet examined where pathological personality traits fit within such a broad metastructural framework.

METHOD

We conducted joint structural analyses of common mental disorders, personality disorders and pathological personality traits in a sample of 628 current or recent psychiatric out-patients.

RESULTS

Bridging across the psychopathology and personality trait literatures, the results provide evidence for a robust five-factor metastructure of psychopathology, including broad domains of symptoms and features related to internalizing, disinhibition, psychoticism, antagonism and detachment.

CONCLUSIONS

These results reveal evidence for a psychopathology metastructure that (a) parsimoniously accounts for much of the observed covariation among common mental disorders, personality disorders and related personality traits, and (b) provides an empirical basis for the organization and classification of mental disorder.

Personality disorder models and their coverage of interpersonal problems

Interpersonal dysfunction is a defining feature of personality disorders (PDs) and can serve as a criterion for comparing PD models. In this study, the interpersonal coverage of 4 competing PD models was examined using a sample of 628 current or recent psychiatric patients who completed the NEO Personality Inventory-3 First Half (NEO-PI-3FH; McCrae & Costa, 2007), Personality Inventory for the DSM-5 (PID-5; Krueger et al., 2012), Computerized Adaptive Test of Personality Disorder-Static Form (CAT-PD-SF; Simms et al., 2011), and Structured Clinical Interview for DSM-IV Personality Questionnaire (SCID-II PQ; First, Spitzer, Gibbon, & Williams, 1995). Participants also completed the Inventory of Interpersonal Problems-Short Circumplex (IIP-SC; Soldz, Budman, Demby, & Merry, 1995) to assess interpersonal dysfunction. Analyses compared the severity and style of interpersonal problems that characterize PD models. Previous research with DSM-5 Section II and III models was generally replicated. Extraversion and Agreeableness facets related to the most well defined interpersonal problems across normal-range and pathological traits. Pathological trait models provided more coverage of dominance problems, whereas normal-range traits covered nonassertiveness better. These results suggest that more work may be needed to reconcile descriptions of personality pathology at the level of specific constructs.

Stability of the DSM-5 Section III pathological personality traits and their longitudinal associations with psychosocial functioning in personality disordered individuals

This study was conducted to establish (a) the stability of the DSM-5 Section III personality disorder (PD) traits, (b) whether these traits predict future psychosocial functioning, and (c) whether changes in traits track with changes in psychosocial functioning across time. Ninety-three outpatients (61% female) diagnosed with at least 1 PD completed patient-report measures at 2 time-points (M time between assessments = 1.44 years), including the Personality Inventory for the DSM-5 and several measures of psychosocial functioning. Effect sizes of rank-order and mean-level change were calculated. In addition, Time 1 traits were used to predict functioning measures at Time 2. Finally, latent change score models were estimated for DSM-5 Section III traits and functioning measures, and correlations among latent change scores were calculated to establish the relationship between change in traits and functional outcomes. Findings demonstrated that the DSM-5 Section III traits were highly stable in terms of normative (i.e., mean-level) change and rank-order stability over the course of the study. Furthermore, traits prospectively predicted psychosocial functioning. However, at the individual level traits and functioning were not entirely static over the study, and change in individuals' functioning tracked with changes in trait levels. These findings demonstrate that the DSM-5 Section III traits are highly stable consistent with the definition of PD, prospectively predictive of psychosocial functioning, and are dynamically associated with functioning over time. This study provides important evidence in support of the DSM-5 Section III PD model.

On the structure of personality disorder traits: conjoint analyses of the CAT-PD, PID-5, and NEO-PI-3 trait models

The current study examines the relations among contemporary models of pathological and normal range personality traits. Specifically, we report on (a) conjoint exploratory factor analyses of the Computerized Adaptive Test of Personality Disorder static form (CAT-PD-SF) with the Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders, fifth edition and NEO Personality Inventory-3 First Half, and (b) unfolding hierarchical analyses of the three measures in a large general psychiatric outpatient sample (n = 628; 64% Female). A five-factor solution provided conceptually coherent alignment among the CAT-PD-SF, PID-5, and NEO-PI-3FH scales. Hierarchical solutions suggested that higher-order factors bear strong resemblance to dimensions that emerge from structural models of psychopathology (e.g., Internalizing and Externalizing spectra). These results demonstrate that the CAT-PD-SF adheres to the consensual structure of broad trait domains at the five-factor level. Additionally, patterns of scale loadings further inform questions of structure and bipolarity of facet and domain level constructs. Finally, hierarchical analyses strengthen the argument for using broad dimensions that span normative and pathological functioning to scaffold a quantitatively derived phenotypic structure of psychopathology to orient future research on explanatory, etiological, and maintenance mechanisms.