Development and Validation of Dimensional Clinical Personality Inventory 2 (IDCP-2) Algorithms to Assess ICD-11 Personality Trait Domain Qualifiers.

With the advent of the new diagnostic model for personality disorders in the 11th revision of the International Classification of Diseases (ICD-11), researchers and practitioners in World Health Organization signatory countries are urged to implement it. This study aims to develop a brief, reliable, and valid scale for assessing maladaptive personality traits according to the ICD-11 model, using the item pool of the Dimensional Clinical Personality Inventory (IDCP-2). Quantitative and qualitative criteria for item selection were applied to a sample of 251 Brazilian adults.

Antisocial personality traits relationship with behaviours and beliefs on COVID-19 containment measures: Investigation in a large Brazilian sample.

In the COVID-19 context, traits associated with antisociality can decrease concern and awareness about the potential harmfulness of the virus. This study investigated associations of pathological traits of antisocial personality disorder (ASPD) with behaviours and beliefs linked to COVID-19 containment measures. The sample consisted of 2230 Brazilian adults who answered ASPD-related facets of the Personality Inventory for DSM-5 and a questionnaire regarding adherence to COVID-19 containment measures.

Inventory of Interpersonal Problems-Personality Disorders: adaptation to Brazil and test of a bifactor model.

Objective: The Inventory of Interpersonal Problems-Personality Disorders (IIP-PD-47) has a controversial factor structure, as some studies have provided support for 5 correlated factors, and others have suggested the existence of a general second-order dimension. One approach of data modelling that reconciles multidimensionality and the existence of a general factor is the bifactor analysis. We used unrestricted exploratory-confirmatory bifactor modelling to validate the Brazilian version of the IIP-PD-47.

Comparing the Validity of the Rorschach Performance Assessment System and Exner's Comprehensive System to Differentiate Patients and Nonpatients.

Building on the comparative nonpatient study of Pianowski et al., we examine data from the Rorschach Performance Assessment System (R-PAS) and Comprehensive System (CS) in 100 nonpatients and 100 patients, 50 of each per system. Replicating their results but now in a patient sample, R-PAS produced more patient protocols having an optimal number of responses (R) for interpretation and eliminated the need for readministration due to low R.

Cross-cultural investigation from nine countries on the associations of antisocial traits and the WHO's containment measures for the COVID-19 pandemic.

Personality traits play a role in prosocial behavior in relation to containment measures intended to tackle the COVID-19 pandemic. Empirical findings indicated that individuals high in socially aversive traits such as callousness are less compliant with containment measures. This study aimed to add cross-cultural data on the relationship between antisocial traits and adherence to COVID-19 containment measures.

Measuring pathological traits of the schizotypal personality disorder through the HiTOP model.

Schizotypal personality disorder (STPD) is characterized by difficulties in intimate relationships, social and interpersonal deficits, and perceptual distortions. Encompassing this personality disorder and other mental conditions, the Hierarchical taxonomy of psychopathology (HiTOP) is an evidence-based, dimensional model covering pathological traits in its lower range. This study aimed to develop a self-report scale for screening pathological traits of STPD from the perspective of the HiTOP.

Preliminary findings on the associations between personality traits and engagement behavior to the COVID-19 containment measures.

In March 2020, the World Health Organization (WHO) had declared the coronavirus disease 2019 (COVID-19) pandemic. Three weeks after WHO's declaration, almost 900,000 cases of COVID-19 were confirmed, with more than 43,000 deaths worldwide. Containment measures were recommended, such as social distancing and hand hygiene.

Inventory of Interpersonal Problems-Personality Disorders: adaptation to Brazil and test of a bifactor model.

Objective: The Inventory of Interpersonal Problems-Personality Disorders (IIP-PD-47) has a controversial factor structure, as some studies have provided support for 5 correlated factors, and others have suggested the existence of a general second-order dimension. One approach of data modelling that reconciles multidimensionality and the existence of a general factor is the bifactor analysis. We used unrestricted exploratory-confirmatory bifactor modelling to validate the Brazilian version of the IIP-PD-47.

Relationship between religiosity domains and traits from borderline and schizotypal personality disorders in a Brazilian community sample.

Introduction: Research suggests that religiosity domains are associated with mental health constructs. Some studies have focused on the relationship between religiosity and personality disorders.

Objective: To investigate the relationship between religiosity domains and pathological traits of the borderline (BPD) and schizotypal (SZPD) personality disorders.

Compliance with containment measures to the COVID-19 pandemic over time: Do antisocial traits matter?

This study investigated the relationships between antisocial traits and compliance with COVID-19 containment measures. The sample consisted of 1578 Brazilian adults aged 18-73 years who answered facets from the PID-5, the Affective resonance factor of the ACME, and a questionnaire about compliance with containment measures. Latent profile analyses indicated a 2-profile solution: the antisocial pattern profile which presented higher scores in Callousness, Deceitfulness, Hostility, Impulsivity, Irresponsibility, Manipulativeness, and Risk-taking, as well as lower scores in Affective resonance; and the empathy pattern profile which presented higher scores in Affective resonance and lower scores in ASPD typical traits.

Personality differences and COVID-19: are extroversion and conscientiousness personality traits associated with engagement with containment measures?

Introduction In December 2019, an outbreak of the novel coronavirus, the coronavirus disease 2019 (COVID-19) probably occurred in Wuhan, China. By March 2020, the World Health Organization (WHO) had declared a pandemic. Containment measures such as social distancing and hand hygiene were recommended.

Investigating Correlations Between Defence Mechanisms and Pathological Personality Characteristics.

Introduction: The purpose of this study was to investigate the relationship between defence mechanisms and pathological personality traits.

Material And Methods: We analysed 320 participants aged from 18 to 64 years (70.6% women, 87.

Does the Rorschach Performance Assessment System (R-PAS) Differ from the Comprehensive System (CS) on Variables Relevant to Interpretation?

We examined the impact of the changes in administration and coding introduced by the Rorschach Performance Assessment System (R-PAS) relative to the Comprehensive System (CS) on the Rorschach response process, as manifested in variables relevant to interpretation. We also examined the efficiency of each system to obtain protocols in an optimal range of responses (R) for interpretation. As hypothesized, when comparing 50 CS and 50 R-PAS nonpatient protocols, R-PAS produced many more protocols in the optimal R range (18-27) than the CS (78% vs.

Dependency, mood instability, and inconsequence traits for discriminating borderline personality disorder.

Introduction: Borderline personality disorder (BPD) is one of the most widely studied personality disorders (PDs). It recurrently shows traits of emotional lability, anxiety, separation insecurity, depressiveness, impulsiveness, risk exposure, and hostility, mainly affecting the domains of negative affectivity and antagonism.

Objectives: To investigate the most discriminant dimensions of the Dimensional Clinical Personality Inventory (Inventário Dimensional Clínico da Personalidade 2 [IDCP-2]) to distinguish people diagnosed with BPD from people without this diagnosis.

Investigating the Spectra constellations of the Hierarchical Taxonomy of Psychopathology (HiTOP) model for personality disorders based on empirical data from a community sample.

Objective: The Hierarchical Taxonomy of Psychopathology (HiTOP) posits that psychopathology is hierarchically structured. For personality disorder (PD) traits, there are five spectra: internalizing, thought disorder, disinhibited externalizing, antagonistic externalizing, and detachment. Empirical findings suggest a sixth group, compulsivity.

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.

Establishing a clinically relevant cutoff to the Dependency Scale from the dimensional clinical personality inventory.

The Clinical Dimensional Personality Inventory (IDCP) is a 163-item self-report tool developed for the assessment of 12 dimensions of personality pathology. One of the scales comprising the instrument-the Dependency scale-is intended to provide psychometric information on traits closely related to the Dependent Personality Disorder (DPD). In the present study, we used both Item Response Theory modeling and Receiver Operating Characteristic curve analysis to establishing a clinically meaningful cutoff for the IDCP Dependency Scale.

Potential Projective Material on the Rorschach: Comparing Comprehensive System Protocols to Their Modeled R-Optimized Administration Counterparts.

Exner ( 1989 ) and Weiner ( 2003 ) identified 3 types of Rorschach codes that are most likely to contain personally relevant projective material: Distortions, Movement, and Embellishments. We examine how often these types of codes occur in normative data and whether their frequency changes for the 1st, 2nd, 3rd, 4th, or last response to a card. We also examine the impact on these variables of the Rorschach Performance Assessment System's (R-PAS) statistical modeling procedures that convert the distribution of responses (R) from Comprehensive System (CS) administered protocols to match the distribution of R found in protocols obtained using R-optimized administration guidelines.