Measurement invariance of the Five-Factor Obsessive-Compulsive Inventory in a U.S. census-matched sample: Demographic differences in obsessive-compulsive personality disorder traits across age, gender, and education.

The Five-Factor Obsessive-Compulsive Inventory (FFOCI) provides an assessment of personality traits relevant to obsessive-compulsive personality disorder. Obsessive-compulsive personality disorder is the most prevalent personality disorder within community samples, and the literature marks that some demographic groups are more at risk than others. The FFOCI, however, has never been explored to demonstrate that it assesses these traits in the same way across groups.

Leveraging normative personality data and machine learning to examine the brain structure correlates of obsessive-compulsive personality disorder traits.

Brain structure correlates of obsessive-compulsive personality disorder (OCPD) remain poorly understood as limited OCPD assessment has precluded well-powered studies. Here, we tested whether machine learning (ML; elastic net regression, gradient boosting machines, support vector regression with linear and radial kernels) could estimate OCPD scores from personality data and whether ML-predicted scores are associated with indices of brain structure (cortical thickness and surface area and subcortical volumes). Among older adults (ns = 898-1,606) who completed multiple OCPD assessments, ML elastic net regression with Revised NEO Personality Inventory personality items as features best predicted Five-Factor Obsessive-Compulsive Inventory-Short Form (FFOCI-SF) scores, root-mean-squared error (RMSE)/SD = 0.

Interpersonal and personality disorders: Commentary on Wright et al. (2022).

Wright et al. (2022) propose to replace personality disorders with a new classification of interpersonal disorders. We suggest that the trait model addresses well the limitations of the personality disorder categorical syndromes and accommodates the dynamics asserted as strengths of the interpersonal model.

The HEXACO Personality Space Before and After Re-Rotation to Approximate the Big Five Dimensions.

We re-oriented the HEXACO personality dimensions to approximate the Big Five, using two measures of the Big Five as targets in a derivation sample and then in cross-validation samples. The HEXACO approximations of Big Five Agreeableness represented blends of HEXACO Agreeableness, Emotionality, and Honesty-Humility. The HEXACO approximations of Big Five Neuroticism represented blends of Emotionality with low Agreeableness and low Extraversion.

Mapping a hierarchical dimensional structure of high experiential permeability: A bass-ackward approach to linking positive schizotypy and openness to experience.

Research on dimensional models of personality pathology has achieved a good deal of consensus on the 5 broad constructs that span adaptive and maladaptive personality traits. Nonetheless, connections between the 5th domain, typically called openness to experience within general personality measures and psychoticism or schizotypy on maladaptive measures, have proven more challenging to integrate. Using experiential permeability as a guiding framework, the current study seeks to develop a hierarchical, empirically derived lower order structure with these concepts.

Ratings of dimensional traits in clinical practice: Comparing therapist and client perspectives.

Research has repeatedly evidenced the structural validity of the five-factor model (FFM), but questions remain about the use of its dimensions in clinical practice. Samuel and colleagues (2018) found therapists reported their clients had lower levels of personality pathology compared with clients' own self-reports when using the unipolar Personality Inventory for the DSM-5 (PID-5) scale. The present study utilized the same sample of 54 client-therapist dyads to examine their use of the bipolar FFM Rating Form.

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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.

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

The present study compared the primary models used in research on the structure of psychopathology (i.e., correlated factor, higher-order, and bifactor models) in terms of structural validity (model fit and factor reliability), longitudinal measurement invariance, concurrent and prospective predictive validity in relation to important outcomes, and longitudinal consistency in individuals' factor score profiles.

The distinction between symptoms and traits in the Hierarchical Taxonomy of Psychopathology (HiTOP).

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions.

Measurement Invariance of the Five Factor Model of Personality: Facet-Level Analyses Among Euro and Asian Americans.

Relative to broad Big Five domains, personality facets provide incremental value in predicting life outcomes. Valid between-group comparisons of means and correlates of facet scores are contingent upon measurement invariance of personality measures. Research on culture and Big Five personality has been largely limited to cross-national comparisons of domains, without assessing measurement invariance across ethnoracial groups within the same country.

A meta-analytic review of personality traits and their associations with mental health treatment outcomes.

Personality traits have been hypothesized to be clinically useful for diagnosis, client conceptualization, treatment planning, as well as for predicting treatment outcomes. Although several studies examined the relation between personality traits and specific therapy outcomes, this literature has not yet been systematically reviewed. Thus, the purpose of the current study was to investigate the relations between personality traits and various therapeutic outcomes.

The healthy personality from a basic trait perspective.

What basic personality traits characterize the psychologically healthy individual? The purpose of this article was to address this question by generating an expert-consensus model of the healthy person in the context of the 30 facets (and 5 domains) of the Revised NEO Personality Inventory (Costa & McCrae, 1992) system of traits. In a first set of studies, we found that the healthy personality can be described, with a high level of agreement, in terms of the 30 facets of the NEO-PI-R. High levels of openness to feelings, positive emotions, and straightforwardness, together with low levels on facets of neuroticism, were particularly indicative of healthy personality functioning.

Short Versus Long Scales in Clinical Assessment: Exploring the Trade-Off Between Resources Saved and Psychometric Quality Lost Using Two Measures of Obsessive-Compulsive Symptoms.

Short measures of psychological constructs are routinely used to save assessment time and cost. The downside is a trade-off between resource savings and psychometric quality. When evaluating tests, a pragmatic strategy is frequently applied that neglects the assessment objective, which may result in unfair rejection or unmindfully acceptance of short scales.

Measurement invariance of the DSM-5 Section III pathological personality trait model across sex.

The dimensional pathological personality trait model proposed in the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition (DSM-5), Section III Criterion B, has shown promising results for its validity and utility in conceptualizing personality pathology. However, as its structural equivalence across sex is yet to be tested, the validity for the model across males and females remains uncertain. In the present article, we examined sex measurement invariance of the DSM-5 trait model in a large undergraduate sample using the Personality Inventory for DSM-5.

Bringing the brain into personality assessment: Is there a place for event-related potentials?

Advances in technology have provided opportunities to assess physiological correlates and further our understanding of a number of constructs, including personality traits. Event-related potentials (ERPs), scalp-recorded measures of brain activity with millisecond temporal resolution, show properties that make them potential candidates for integrating neurophysiological methods into personality research. Several commonly used ERPs have trait-like properties including test-retest stability approaching .

The agreement between clients' and their therapists' ratings of personality disorder traits.

Objective: Treating clinicians provide the majority of mental health diagnoses, yet little is known about the validity of their routine diagnoses, including the agreement with clients' self-reports. This is particularly notable for personality disorders (PDs) as the literature suggests weak agreement between therapists and clients. Existing research has been limited by a focus on PD categories and brief therapist-report measures.