BPD Compass: Using a dimensional model of psychopathology to treat co-occurring borderline personality disorder and posttraumatic stress symptoms

BPD Compass is a transdiagnostic psychotherapy that includes cognitive, behavioral, and mindfulness skills targeting the personality dimensions of negative affectivity, disinhibition, and antagonism. Given considerable symptom comorbidity and overlap in etiology between borderline personality disorder (BPD) and posttraumatic stress disorder (PTSD), this study investigated whether BPD Compass holds promise as an integrated approach to simultaneously treating co-occurring BPD features and PTSD symptoms. Participants included 84 trauma-exposed adults who participated in a two-phase clinical trial (Phase 1: randomized controlled trial of BPD Compass vs. waitlist [n = 43]; Phase 2: open trial of BPD Compass [n = 41]). Compared to waitlist, BPD Compass led to medium-to-large-sized, significant improvements in BPD features, βs = -.57 -.44, and facets of neuroticism, βs < -.55--.73, as well as small, nonsignificant improvements in self-reported, β = -.20, and clinician-rated PTSD symptom severity, β = -.19. During treatment, within-person improvements in PTSD symptoms predicted subsequent improvements in BPD features, β = .13, but not vice versa, β = .07. Within-person PTSD symptom reduction also predicted subsequent improvement in all personality dimensions, whereas only within-person improvement in despondence, β = .12, affective dysregulation, β = .11, and dissociative tendencies, β = .12, predicted PTSD symptom reductions. Findings offer preliminary support for the potential of BPD Compass to target BPD features and aspects of neuroticism and agreeableness among trauma-exposed adults. Moreover, PTSD symptom change predicting subsequent improvement in BPD features runs counter to current stage-based treatment models that emphasize BPD feature stabilization before engaging in trauma-focused therapy.

The Questionable Practice of Partialing to Refine Scores on and Inferences About Measures of Psychological Constructs

Partialing is a statistical approach researchers use with the goal of removing extraneous variance from a variable before examining its association with other variables. Controlling for confounds through analysis of covariance or multiple regression analysis and residualizing variables for use in subsequent analyses are common approaches to partialing in clinical research. Despite its intuitive appeal, partialing is fraught with undesirable consequences when predictors are correlated. After describing effects of partialing on variables, we review analytic approaches commonly used in clinical research to make inferences about the nature and effects of partialed variables. We then use two simulations to show how partialing can distort variables and their relations with other variables. Having concluded that, with rare exception, partialing is ill-advised, we offer recommendations for reducing or eliminating problematic uses of partialing. We conclude that the best alternative to partialing is to define and measure constructs so that it is not needed.

Attention to faces in images is associated with personality and psychopathology

Humans show a robust tendency to look at faces in images, but also differ consistently in the strength of this attentional preference. Previous research remained inconclusive as to how a stronger face preference may be indicative of an individual's personality or clinical characteristics. Here we investigated face preferences in 120 participants (primarily drawn from a student population) who freely viewed photos in an internet browser showing a person in the context of a visually rich environment while attention was assessed using a cursor-based technique. Participants differed consistently in the strength of their face preference across images. A stronger preference for faces was correlated positively with openness to experience, extraversion, agreeableness and empathizing and was correlated negatively with social anxiety, depression levels and alexithymia. Trait measures were linked through a strong common factor which was additionally correlated with face preference. We conclude that face preferences may be linked to personality traits and to psychopathology but that an attribution to a specific facet of psychopathology may not be warranted. Future research should investigate links between face preferences and personality features in more diverse samples and across differing social situations.

Experimental Manipulation of the BFI-2, IPIP-NEO-120, and the IPC-5

Research assessing the relationship of the five-factor model (FFM) to personality disorder symptomatology has generally been confirmatory, with three exceptions. The exceptions have been failures to confirm associations of conscientiousness with the obsessive-compulsive personality disorder, agreeableness with dependent, and openness with schizotypal. Haigler and Widiger demonstrated empirically years ago that this was occurring because the predominant FFM measure at that time, the NEO Personality Inventory-Revised, does not include a sufficient representation of maladaptive variants of the respective FFM personality trait domains. Research since their study has continued to fail to confirm the FFM hypotheses, using other measures of the FFM. The current study extended the work of Haigler and Widiger by considering three additional FFM measures, the Big Five Inventory-2 (BFI-2), the International Item Pool-NEO-120 (IPIP-NEO-120), and the Inventory of Personal Characteristics-5 (IPC-5). Data were obtained from a community sample of adults with experience of mental health treatment. The results confirmed an improvement in the FFM-personality disorder relationships when the experimentally manipulated versions of the BFI-2, IPIP-NEO-120, and IPC-5 were used. The implications of the findings for existing and future FFM-personality disorder research are discussed.

Assessing Personality Change: Introduction to the Special Section

Both clinical and personality psychologists are interested in assessing personality change, although they have tended to approach the issue in different ways. In this paper we argue that both sub-fields should focus more on basic issues in the assessment of personality change, and that they would make more progress on this issue together than alone. This Special Section on the Assessment of Personality Change includes four papers by researchers working primarily in basic personality science. Each paper addresses specific ways to advance the assessment of personality change that have both basic and applied clinical relevance, but collectively they show how far the field still has to go.

Psychometric properties of the Persian version of short-form five factor borderline inventory (FFBI-SF)

BACKGROUND

The Five-Factor Borderline Inventory-Short Form (FFBI-SF) is a self-report measure developed to assess traits of Borderline Personality Disorder (BPD) from the perspective of the Five-Factor Model of general personality. This study was designed to examine the factor structure, internal consistency, and convergent/discriminant validity of the Persian FFBI-SF in a sample of Iranian university students.

METHODS

A total of 641 university students (M-age = 28.04, SD = 8.21, 66.7% women) completed the online forms of the FFBI-SF, PID-5-BF, and Mini IPIP.

RESULTS

Confirmatory factor analysis supported the original and modified (without item 47) twelve-factor models. Also, Cronbach's alpha (α) for the FFBI-SF scores ranged from unacceptable to excellent ranges. However, when relying on MIC values to measure internal consistency, the FFBI-SF Total and subscale scores demonstrated adequate internal consistency. Finally, the FFBI Total and subscale scores showed the expected relations with other personality measures scores (e.g., Neuroticism, Antagonism, and Conscientiousness), which supports the validity of the interpretation of the FFBI-SF scores.

CONCLUSIONS

The findings indicated that FFBI-SF is a useful tool with sound psychometric properties for assessing BPD traits in Iranian students and may spark research in other Iranian settings (e.g., community and clinical samples).

Five-Factor Model Personality Disorder Traits, Health Behaviors, Health Perceptions, and Insomnia Symptoms in Older Adults

Personality traits predict physical health outcomes, including health behaviors, disease, and mortality. Maladaptive traits of personality disorders may predict even more variance in physical health indicators. Dimensional models of maladaptive personality traits are replacing categorical models of personality disorder, and the Five-Factor Model of personality disorder (FFMPD) is a useful dimensional model of maladaptive traits. However, there has been little work investigating the criterion validity of the FFMPD. The present study serves as a broad initial overview of the FFMPD scales in the prediction of health behaviors, heath perceptions, and insomnia symptoms across two time points in a representative community sample of older adults (N = 1,060). Findings indicate that the FFMPD scales explain a significant amount of variance in the physical health variables across time. Exploratory analyses indicate that the FFMPD traits have incremental validity over covariates, normal-range personality traits, and personality disorder criteria.

Toward a Model of Personality Competencies Underlying Social and Emotional Skills: Insight From the Circumplex of Personality Metatraits

In recent years, there has been a growing interest in social and emotional skills (SES) both in the scientific literature and in social practice. The paper presents an overview of the ways of understanding what SES are and the catalogs thereof. There are some attempts in the literature to organize these catalogs within the Big Five traits that for a long time was claimed to be the most sound model of basic orthogonal dimensions of personality. However, further research on personality structure revealed that two metatraits can be found above the Big Five traits. These two metatraits form the basis of the Two Factor Model of personality, which was later developed into the Circumplex of Personality Metatraits. It turned out that in certain aspects models based on metatraits have a greater theoretical potential than those based on the Big Five traits. The paper presents a proposal for describing SES from the perspective of the Circumplex of Personality Metatraits rather than the Big Five. In this framework, we distinguish the concept of personality competences that underlie and organize many specific SES and identify the core personality competencies on the basis of the Circumplex of Personality Metatraits model.

Prospective Associations of Parenting and Childhood Maltreatment with Personality in Adolescent Males

This longitudinal study examines whether early experiences with caregivers between the ages of 10 and 12 are associated with later adolescent personality at age 16 using both parent and child reports. Lower positive parenting was prospectively associated with higher neuroticism and lower extraversion and conscientiousness for both parent and self-reports of personality, as well as lower openness and agreeableness by parent report. Substantiated maltreatment was prospectively associated with greater neuroticism and lower agreeableness and conscientiousness assessed by parent report. Prospective associations were similar across Black and White participants. Positive parenting and, to a lesser extent, a lack of maltreatment were associated with adaptive personality profiles in adolescents, and associations were stronger for parent reports of personality.

Dimensions of pathological narcissism and intention to vote for Donald Trump

Pathological narcissism is a term often applied to former President Donald Trump, but it has been less examined as a potential predictor of voting for him. Trump projects a grandiose and omnipotent self-image during press conferences and rallies, and his followers at these events often respond with both effusive admiration and an inflated sense of their own self-regard, all of which are aspects of narcissism. However, while Trump's personal narcissism has been well documented, there is little research on the narcissism of his supporters. In this study we conducted an exploratory analysis examining the hierarchical structure of pathological narcissism and which aspects of narcissism within that structure were associated with intended voting for Trump in the 2020 U.S. presidential election in a sample of U.S. residents collected online (N = 495) using Amazon's Mechanical Turk. Results indicated that an eight-echelon hierarchy best fit the data. Within this hierarchy, antagonistic and indifferent aspects of narcissism within the fifth echelon best predicted intended voting for Trump over and above relevant demographic variables. These results have implications for the study of narcissism and, especially given the results of the 2020 election, the degree to which one can make use of narcissistic aspects of personality in political contests.

Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling Perspective

Almost all forms of psychopathology, including personality disorders, are arrived at through complex interactions among neurobiological vulnerabilities and environmental risk factors across development. Yet despite increasing recognition of etiological complexity, psychopathology research is still dominated by searches for large main effects causes. This derives in part from reliance on traditional inferential methods, including ordinary factor analysis, regression, ANCOVA, and other techniques that use statistical partialing to isolate unique effects. In principle, some of these methods can accommodate etiological complexity, yet as typically applied they are insensitive to interactive functional dependencies (modulating effects) among etiological influences. Here, we use our developmental model of antisocial and borderline traits to illustrate challenges faced when modeling complex etiological mechanisms of psychopathology. We then consider how computational models, which are rarely used in the personality disorders literature, remedy some of these challenges when combined with hierarchical Bayesian analysis.

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis-related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.

Developing a Computerized Adaptive Test to Assess Stress in Chinese College Students

Stress is among the most prevalent problems in life; thus, measurement of stress is of great importance for disease prevention and evaluation. This work aims to develop a computerized adaptive test (CAT) application to measure stress (CAT-S) based on item response theory (IRT). Two types of analyses were performed. The first analysis was to meet the psychometric requirements of the CAT-S. A Paper and Pencil (P&P) test involving 226 items was developed based on eight stress-related scales, and 972 Chinese college students completed the test. The first seven scales were used to build the item bank, and the last scale (i.e., the Perceived Stress Scale, PSS) was used to determine the convergent validity of the CAT-S. With some statistical considerations, such as item fit, discrimination, differential item functioning (DIF), and the assumption of unidimensionality, the final item bank comprised 93 items. The second analysis was to simulate the CAT adaptively using the existing item response. A Bayesian method called Expected a Posterior method (EAP) was used to estimate θ. For the item selection strategy, the greatest item information was considered at each step. The stopping rule was determined by the fixed length (10, 11, 12, …, 20, and 93) or the prespecified level of measurement precision (standard errors of 0.3, 0.4, 0.5, 0.6, 0.7, and 0.8). Finally, the criterion validity was tested by using PSS as a criterion and analyzing the effect of CAT-S diagnosis with a receiver operating curve (ROC). The results showed that (1) the final stress item bank had good quality based on the psychometric evaluation, (2) the CAT-scores were highly correlated with the scores of the final item bank, (3) the scores of the P&P form of PSS were correlated with those of the CAT-S (r > 0.5), (4) the value of the area under the ROC curve (AUC) was greater than 0.7 under each stopping rule, and (5) the CAT-S needed only a small number of items to obtain a highly precise measure of stress. Therefore, the CAT-S presented the theoretically expected advantages, which enabled a rapid, accurate, and efficient dynamic and intelligent measurement of stress.

Maladaptive Variants of Adaptive Traits and Bloated Specific Factors

The five-factor model of personality disorder (FFMPD) hypothesizes that the traditionally adaptive five-factor model (FFM) poles (e.g., agreeableness) include maladaptive variants. However, "bloated specific factors" (BSFs), which are artifactual factors that emerge when a specific facet of a broader construct is over-represented, complicate research on the maladaptive variants. Twenty-five sets of factor analyses are completed herein demonstrating that items from maladaptive trait facet scales form BSFs when over-represented in factor analyses with other FFM indicators, separating from the higher-order domains in which they were originally located. These results held in 23 of 25 cases. Ensuring balanced collections of scales representing constructs would help researchers avoid BSFs. The implications of BSFs for future research on personality structure are discussed.

FFMPD scales: Comparisons with the FFM, PID-5, and CAT-PD-SF

A series of 8 Five Factor Model Personality Disorder (FFMPD) scales have been developed to assess, from the perspective of the Five Factor Model (FFM), the maladaptive traits included within DSM-5 Section II personality disorders. An extensive body of FFMPD research has accumulated. However, for the most part, each study has been confined to the scales within 1 particular FFMPD Inventory. The current study considered 36 FFMPD scales, at least 1 from each of the 8 FFMPD inventories, including 8 scales considered to be from neuroticism, 8 from extraversion, 5 from openness, 8 from agreeableness, and 7 from conscientiousness. Their convergent, discriminant, and structural relationship with the FFM was considered, and compared with the structural relationship with the FFM obtained by the Personality Inventory for DSM-5 (PID-5) and the Computerized Adaptive Test-Personality Disorder-Static Form (CAT-PD-SF). Support for an FFM structure was obtained (albeit with agreeableness defining 1 factor and antagonism a separate factor). Similarities and differences across the FFMPD, PID-5, and CAT-PD-SF scales were highlighted. (PsycINFO Database Record

Informant assessment: The Informant Five-Factor Narcissism Inventory

A series of self-report measures of personality disorder from the perspective of the five-factor model (FFM) have been published; however, no informant-report versions have been developed. An informant version of the Five Factor Narcissism Inventory (FFNI) is particularly apt, given the degree of distortion in self-description inherent to narcissism. The present study provides initial validation for the Informant Five-Factor Narcissism Inventory (IFFNI). In Study 1, informant reports from friends, romantic partners, parents, and other family members were compared with self-reports provided by undergraduate college students on the IFFNI, FFM personality, and social dysfunction. Self-other agreement for IFFNI Grandiose (G) was higher than what has been found with other narcissism measures. No self-informant convergence, though, was found for IFFNI Vulnerable (V). From the informant view, IFFNI-G and V narcissism were associated with social dysfunction, whereas from the self-view only FFNI-V was associated with social dysfunction. In Study 2, grandiose and vulnerable narcissists, identified by participants recruited from MTurk, were described in terms of the IFFNI, FFM, and Pathological Narcissism Inventory (PNI). Results indicated that the IFFNI discriminated well between G and V narcissism for all but a few scales. The exceptions may reflect vulnerable narcissistic traits within grandiose narcissists. In comparison, the PNI obtained a very similar informant profile for the G and V narcissists. In sum, the results of the current study suggest value in having an informant-based measure of narcissism. (PsycINFO Database Record

Dimensional clinical personality inventory-2: investigating key factors on the assessment of dependent personality disorder

Dimensional literature reinforces the relevance of specific Dependent personality disorder (DPD) traits, as submissiveness, insecurity and avoidance of abandonment. In this paper we measured these traits through the Dimensional Clinical Personality Inventory-2 (IDCP-2). This study aims to verify the capacity of IDCP-2 factors to discriminate and predict DPD related symptoms. From a dataset with 4,503, a total of 305 people was divided in three groups: the community group (n = 200), the non-DPD group (N = 84), and the DPD group (n = 21). We administered six factors from IDCP-2, Insecurity, Abandonment Avoidance, Self-devaluation, Submissiveness, Masochism, and Self-driven Hopelessness. Groups comparison were significant, showing high effects in mostly cases. Multiple regression analysis showed the best predictors of the groups, i.e. Abandonment Avoidance and Self-driven Hopelessness. The findings of this study demonstrate that IDCP-2 covers the core traits of DPD, therefore, being a valid and applicable measure to discriminate DPD, which is particularly relevant in clinical settings. Although our findings suggested two factors as the most relevant measures to discriminant DPD patients from non-DPD/community samples, we did not suggest the restrict use of the Abandonment Avoidance and Self-driven Hopelessness factors for DPD screening. Limitations of the study were discussed.