Prototype Matching of Personality Disorders with the Dimensional Clinical Personality Inventory

Carvalho, Lucas de Francisco; Primi, Ricardo

doi:10.1590/0102-3772e322214

Cited by 17 publications

(14 citation statements)

References 18 publications

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“…The analysis covering only the 61 items kept between the IDCP and its revised version, IDCP-2, was performed considering that (a) the items kept in the revised version are empirically those which presented higher psychometric adequacy in previous studies (e.g., Carvalho & Arruda, 2016;Carvalho, Pianowski, & Miguel, 2015;Carvalho, & Sette, 2015;, 2017;Carvalho, Sette, Capitão, & Primi, 2014;Carvalho, Souza, & Primi, 2014) and (b) despite some items shared with the analysis covering the IDCP in general, it is a different grouping of predictive variables. Similarly, in the third group of analyses, only the 27 items composing the Mood Instability dimension were used, since data presented in previous studies suggested this dimension as subjacent to pathological personality functioning in general (e.g., Abela, Carvalho, Cho, & Yazigi, 2015;Carvalho, & Primi, 2016;. Finally, for the fourth group analysis (i.e., Cohen's d) the percentile 75 (d=0.60) was arbitrarily established as a cutoff for selecting the most discriminative items.…”

Section: Methodsmentioning

confidence: 99%

Development and Diagnostic Accuracy of the Screening of the Dimensional Clinical Personality Inventory

Carvalho

Pianowski

Reis

2017

Psicol. cienc. prof.

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Abstract:The assessment of personality disorders assumes unquestioned clinical relevance when considering the prevalence rates in the general population. Tests assessing the typical pathological traits of these disorders has been adapted to and developed in Brazil. However, there is a gap in the country of screening tools for personality disorders. Screening tools are designed to allow a fast and informative application on the likelihood of a positive diagnosis, where the consequence should be conveyed to a diagnostic assessment. Using as a base the Dimensional Clinical Personality Inventory (IDCP), developed at the national level, the objective of this research was to develop a screening tool for personality disorders, as well as investigate its diagnostic accuracy. The study included 1,196 people, aging between 18 and 73 years (M = 26.32, SD = 8.69), and 64.1% female. The sample was divided into clinical and non-clinical group. We used an empirical approach based on criteria for selection of items similar to those adopted in the development of Minnesota Multiphasic Personality Inventory was used (MMPI). The logistic regression analysis and also the calculation of Cohen´s d indicated the items that best discriminate against people with personality disorders and those without this diagnosis. We achieved a final set of 15 items with satisfactory sensitivity and specificity for screening test. We discusses the strengths and limitations of screening version of the IDCP and guidelines for further study.

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Section: Methodsmentioning

confidence: 99%

Development and Diagnostic Accuracy of the Screening of the Dimensional Clinical Personality Inventory

Carvalho

Pianowski

Reis

2017

Psicol. cienc. prof.

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“…The Eccentricity dimension revealed correlation with the schizotypal, schizoid (Abela et al, 2015;Carvalho & Primi, 2015) and paranoid personality disorders (Carvalho & Primi, 2016). The schizotypal disorder corresponds to a functioning with social deficits marked by discomfort in interpersonal relationships, cognitive and perceptual distortions and behavioural eccentricities; the schizoid is associated to a pervasive pattern of detachment in social relations and restrictions on emotional expression in interpersonal relationships; and the paranoid functioning exposes a durable pattern of distrust in interpersonal relationships, pervaded by suspicion of intent to others and emotional liability (APA, 2013).…”

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confidence: 96%

Eccentricity dimension of the Dimensional Clinical Personality Inventory: Review and psychometric properties

Carvalho¹,

Pianowski²,

Silveira³

et al. 2016

Estudos De Psicologia

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We aimed to review of the Eccentricity dimension of the Dimensional Clinical Personality Inventory (IDCP), through two steps.The first one focused on developing new items and the second on testing the psychometric properties in a sample of 225 subjects (70.1% females), aging between 18 and 66 years, mostly undergraduate students (58.9%). The subjects answered the IDCP, and the Brazilian versions of the NEO-PI-R, PID-5 and MIS. The first step resulted in 42 items, which 22 were new. The ResumenDimensión Excentricidad del Inventario Dimensional Clínico de la Personalidad: Revisión y psicométricas propiedades. El estudio tuvo como objetivo revisar la dimensión Excentricidad del Inventario Dimensional Clínico de la Personalidad (IDCP), en dos pasos.Uno para el desarrollo de nuevos ítems y otro para probar las propiedades psicométricas en una muestra de 225 sujetos (70,1% mujeres), con edades entre 18 y 66 años, estudiantes universitarios en su mayoría (58,9%). Los sujetos respondieron el IDCP, y las versiones brasileñas del NEO-PI-R, PID-5 y MIS. El primer paso resultó en 42 ítems, los cuales 22 eran nuevos. El segundo, dio lugar a una mezcla compuesta de 18 ítems, agrupados en seis factores interpretables, Desapego interpersonal, Estilo excéntrico, Paranormalidad, Estilo persecutorio, Despersonalización y Inexpresividad emocional, con coeficientes de consistencia interna de 0,85 para el total, y entre 0,60 y 0,82 para los factores. Las correlaciones entre los instrumentos revelaron relaciones consistentes y esperadas. Los datos demuestran la idoneidad de la nueva dimensión Excentricidad del IDCP.Palabras clave: rasgos de personalidad; tests psicológicos; trastornos de la personalidad.

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“…9 According to Abela 17 and to Carvalho & Primi, 6 this dimension relates most closely to narcissistic personality disorder, which is expected given this disorder's diagnostic criteria. 1 This study aimed to further refine the grandiosity dimension and update it to include pathological traits typically related to narcissistic personality disorder.…”

Section: Discussionmentioning

confidence: 96%

“…9 This dimension includes feelings of pleasure obtained from external recognition, an excessive need for being admired by others, and underlying beliefs of self-worth and superiority. These feelings generate self-entitlement, grandiosity, and distrust/persecution reactions towards others.…”

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confidence: 99%

Revision of the grandiosity dimension of the Dimensional Clinical Personality Inventory and verification of its psychometric properties

Carvalho

Sette

Ferrari

2016

Trends Psychiatry Psychother.

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Introduction: Personality disorders are among the most common disorders seen in clinical psychology. However, in Brazil there are few instruments for assessing the pathological characteristics of personality. Results: A total of 285 new items were developed and content analysis was used to select 33 of these to comprise the final version destined for administration. The results of parallel analysis and factor analysis identified four interpretable factors. Internal consistency coefficients were deemed acceptable and varied from 0.73 to 0.84 for the factors. Additionally, the expected correlations between the IDCP Inventory and the other tests were observed. Conclusion: This study demonstrates the revised dimension's suitability for assessment of the pathological traits of narcissistic personality disorder.

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Prototype Matching of Personality Disorders with the Dimensional Clinical Personality Inventory

Cited by 17 publications

References 18 publications

Development and Diagnostic Accuracy of the Screening of the Dimensional Clinical Personality Inventory

Development and Diagnostic Accuracy of the Screening of the Dimensional Clinical Personality Inventory

Eccentricity dimension of the Dimensional Clinical Personality Inventory: Review and psychometric properties

Revision of the grandiosity dimension of the Dimensional Clinical Personality Inventory and verification of its psychometric properties

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