The underlying structure of the Personality Inventory for DSM-5 (PID-5): a general factor of personality psychopathology.

BACKGROUND: The psychopathology of personality is currently undergoing a paradigm shift from a categorical to a dimensional approach. This work aimed to study the underlying structure of pathological personality traits of the DSM-5 Alternative Model for Personality Disorders (AMPD). For this purpose, the internal structure of a version of the Personality Inventory for the DSM-5 (PID-5) was examined by a confirmatory factor analysis. This version assesses the five higher-order pathological personality domains (negative affectivity, detachment, antagonism, disinhibition, and psychoticism) and the 25 lower-order pathological personality facets through a reduced number of items. Four alternative models were compared: five-factor oblique; second-order (five first-order factors and one second-order factor); bifactor (five specific factors and a general factor), and one-factor. PARTICIPANTS AND PROCEDURE: We worked with an Argentinean sample of N = 525 subjects from the general population who answered the Argentine version of the PID-5. RESULTS: The five-factor model was slightly superior to the second order model, and the bifactor model presented the best fit. CONCLUSIONS: These findings, while preliminary, suggest that the PID-5 facets could reflect five specific pathological personality traits (which correspond to AMPD domains) but also a general factor (which would reflect a general propensity for psychopathology).

Measurement invariance of the driving inattention scale (ARDES) across 7 countries.

The Attention-Related Driving Errors Scale (ARDES) is a self-report measure of individual differences in driving inattention. ARDES was originally developed in Spanish (Argentina), and later adapted to other countries and languages. Evidence supporting the reliability and validity of ARDES scores has been obtained in various different countries. However, no study has been conducted to specifically examine the measurement invariance of ARDES measures across countries, thus limiting their comparability. Can different language versions of ARDES provide comparable measures across countries with different traffic regulations and cultural norms? To what extent might cultural differences prevent researchers from making valid inferences based on ARDES measures? Using Alignment Analysis, the present study assessed the approximate invariance of ARDES measures in seven countries: Argentina (n = 603), Australia (n = 378), Brazil (n = 220), China (n = 308). Spain (n = 310), UK (n = 298), and USA (n = 278). The three-factor structure of ARDES scores (differentiating driving errors occurring at Navigation, Manoeuvring and Control levels) was used as the target theoretical model. A fixed alignment analysis was conducted to examine approximate measurement invariance. 12.3 % of the intercepts and 0.8 % of the item-factor loadings were identified as non-invariant, averaging 8.6 % of non-invariance. Despite substantial differences among the countries, sample recruitment or representativeness, study results support resorting to ARDES measures to make comparisons across the country samples. Thus, the range of cultures, laws and collision risk across these 7 countries provides a demanding assessment for a cultural-free inattention while-driving. The alignment analysis results suggest that ARDES measures reach near equivalence among the countries in the study. We hope this study will serve as a basis for future cross-cultural research on driving inattention using ARDES.

Una versión reducida y modificada del Inventario de Personalidad para el DSM-5 (PID-5) en la Argentina / A reduced and modified version of the Personality Inventory for the DSM-5 (PID-5) in Argentina

Resumen El modelo dimensional alternativo para los trastornos de personalidad incluye 25 facetas (rasgos patológicos) organizadas en cinco dominios de orden superior (Desapego, Afectividad Negativa, Psicoticismo, Antagonismo y Desinhibición). Para evaluar este modelo, se desarrolló el Personality Inventory for DSM-5 (PID-5), que posee dos versiones: una extensa (220 ítems) que evalúa dominios y facetas, y una breve (25 ítems) que evalúa solo los dominios. En un trabajo anterior, se brindó evidencia favorable para una versión breve (31 ítems) adaptada para ser utilizada en población argentina. En el presente trabajo se estudian las propiedades psicométricas de una versión reducida y modificada del PID-5 que permite evaluar ambos componentes por medio de una cantidad de ítems (108). La validez convergente se evaluó a través de la relación con una medida de rasgos de personalidad normal del Modelo de los Cinco Grandes Factores. Se trabajó con una muestra de tipo no probabilística de n = 525 sujetos de población general, que respondieron la versión adaptada del PID-5 y el Listado de Adjetivos para Evaluar la Personalidad. Los resultados brindaron evidencia de validez y confiabilidad para el instrumento. El Análisis Factorial Exploratorio y Confirmatorio sugirió un buen ajuste de la estructura pentafactorial. La consistencia interna resultó adecuada y los ítems presentaron buenos índices de discriminación. Se observaron diferencias de género y edad, y correlaciones con los factores correspondientes de los cinco grandes. Esta versión puede ser utilizada para evaluar el modelo, con fines tanto clínicos como de investigación, y con ventajas respecto al tiempo de administración respecto a la versión extensa original.

Abstract The official classification of personality disorders in the latest edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) remains categorical. However, a dimensional alternative for personality disorders is presented as an emerging model. The model is organized in five higher order domains (Negative Affectivity, Detachment, Antagonism, Disinhibition and Psychoticism), with relationships with the Big Five Model of Personality, strongly established within the Personality Psychology. The proposal also includes 25 facets or second-order traits, included within the main domains. Domains and facets represent psychopathological traits with clinical relevance. To assess this model, the Personality Inventory for DSM-5 (PID-5) was developed. PID-5 has two forms: extensive (220 items) that assesses domains and facets, and brief (25 items) that assesses only the domains. In a previous study, evidence for a short version (31 items) adapted to the Argentine population was provided, that overcomes some of the limitations of the original one. In this work, the psychometric properties of a reduced and modified version of the PID-5 are studied, which allows evaluating five domains and 25 facets, through a reduced number of items (108). We worked with a non-probabilistic sample of n = 525 subjects from the general population, who answered the adapted version of the PID-5 and the Adjectives Checklist to Assess the Big Five Personality Factors (AEP), a Big Five Model measure. The following data analyses were performed: (1) Exploratory and Confirmatory Factor Analysis to evaluate the internal structure of PID-5; (2) reliability analysis to assess the internal consistency of the PID-5 scales; (3) item analysis to assess discriminating power; (4) multivariate analysis of variance (MANOVA) to examine significant differences due to gender and age; and (5) bivariate correlation analysis to analyze PID-5 convergent validity. The results provided evidence of validity and reliability. Exploratory and Confirmatory Factor Analysis suggested a five-factor structure. The facets presented factor loadings in the domain theoretically expected, with some exceptions: Suspiciousness (loaded in Psychoticism), Hostility (loaded in Disinhibition), Depressivity (loaded in Detachment) and Insensitivity (loaded in Detachment). CFA also suggested a good model fit (CFI = .98; RMSEA = .04; SRMR = 0.083). Psychoticism, Detachment, and Disinhibition facets had their higher factor loadings in the expected domain. Negative affectivity showed higher correlations with the rest of the scales. Internal consistency was satisfactory, especially at the domain level, and the items had good discrimination indices. Correlations with the corresponding of the Big Five factors were observed, similar to previous studies. The five PID-5 domains were also found positively correlated. Additionally, gender and age differences were found. In line with previous literature, results suggest that some facets scales are "pure" markers of these domains (e. g., Psychoticism and Antagonism facets), whereas others (e. g., Negative Affectivity facets such as Depressiveness, Suspicion, Hostility), are located "in between" domains since they share features of more than one domain. Psychoticism facets presented higher loadings in their domains and lower in the rest. This is not surprising; although most of psychopathology cannot be understood as categories, schizophyte and Schizotypal Personality Disorder are exceptions, and Psychoticism would be the representation of these categories in the APA model. Findings also provide evidence of convergent validity for the instrument, as well as theorical evidence regarding the relationship between normal and pathological personality traits. This version can be used to evaluate the model, both in research and clinical practice. It has advantages over the original longer version, in terms of administration time and participants' fatigue, while maintaining its psychometric properties. The results are also expected to contribute to the recent literature on the dimensional approach to personality psychopathology. However, complementary studies, particularly with a clinical population, are needed.

Muertes por suministros de tránsito en la provincia de Buenos Aires en 2017 Un Análisis mediante métodos de clasificación jerárquica / Road traffic deaths in the province of Buenos Aires in 2017: a hierarchical cluster analysi

INTRODUCCIÓN: las lesiones y muertes de tránsito constituyen un problema importante de salud pública. El presente trabajo se propuso analizar, desde una perspectiva multidimensional, los datos oficiales sobre fallecidos por siniestros viales en la provincia de Buenos Aires. En primer lugar, se buscó construir una tipología de siniestros viales, y, en segundo lugar, se analizó la distribución de los conglomerados en distintas zonas de la provincia. MÉTODOS: se realizó un estudio no experimental, transversal y correlacional. Se aplicaron métodos de clasificación jerárquica a datos registrados por la Unidad del Observatorio y Estadísticas en Seguridad Vial; (n original = 1369, n luego de la depuración de datos = 1154). Los conglomerados resultantes se analizaron luego por región sanitaria. RESULTADOS: los resultados sugirieron ocho grupos relativamente homogéneos de víctimas con perfiles diferenciables de siniestralidad. Los conglomerados más importantes fueron dos: uno correspondiente a personas de sexo masculino, jóvenes y conductores de moto que fallecen en siniestros urbanos, y otro caracterizado por conductores de automóviles y adultos, también de sexo masculino, que fallecen en siniestros interurbanos. Los grupos se distribuyeron de manera diferente según la región sanitaria, aunque se advirtieron dos grandes perfiles: uno correspondiente al Gran Buenos Aires y otro al interior de la provincia. DISCUSIÓN: los resultados pueden ofrecer una base de segmentación útil para orientar intervenciones focalizadas en grupos de usuarios viales.

Implicit attitudes and road safety behaviors. The helmet-use case.

We studied the role of implicit attitudes on road safety behaviors. We also explored the methodological benefits of using implicit measures to complement conventional self-reporting instruments. The results suggest that: (a) implicit attitudes are capable of predicting observed differences in the use of protective devices (helmet use); (b) implicit attitudes correlate with the emotional component of the explicit attitudes (e.g., perception of comfort-discomfort), but appear to be independent of the more cognitive components (e.g., perceived benefits); (c) the emotional component of the explicit attitudes appears to be the major predictor of behavior; and (d) implicit measures seem to be more robust against social desirability biases, while explicit measure are more sensitive to such bias. We conclude that indirect and automatic measures serve as an important complement to conventional direct measures (self-reports) because they provide information on psychological processes that are qualitatively different (implicit) and can also be more robust when it comes to response bias.

Individual differences in driver inattention: the attention-related driving errors scale.

OBJECTIVES: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. METHODS: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson's correlations were calculated between ARDES and validation measures. RESULTS: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale's internal consistency was high (Cronbach's alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. CONCLUSION: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies.