Inventario de Personalidad IPIP-NEO: estudios preliminares de adaptación al español en estudiantes argentinos

El Inventario de Personalidad IPIP- NEO fue adaptado a una muestra de jóvenes Argentinos. Mediante traducción directa se obtuvo una primera versión en español del inventario que, luego de estudios pilotos y entrevistas cognitivas, fue modificada para realizar los ajustes pertinentes. Posteriormente, se realizaron análisis para evaluar la consistencia interna y la estructura factorial. Estos análisis fueron realizados con una muestra local (N= 604) y con una muestra norte-americana (N= 647). Además, se exploraron posibles diferencias en función del sexo y de la nacionalidad. Se obtuvieron los índices de congruencia para comparar ambas matrices factoriales. Los resultados muestran cómo una solución factorial de cinco factores es la más viable para nuestra población, presentando valores de consistencia interna adecuados para la mayoría de las escalas, y una aceptable congruencia con la solución obtenida con la versión original. Se planifica revisar aquellas escalas donde se observaron índices de fiabilidad inadecuados, replicar los estudios realizados en una muestra diferente a la utilizada en este trabajo y mediante un sistema de recolección de datos on-line.Fil: Cupani, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Psicología; ArgentinaFil: Pilatti, Angelina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Psicología. Laboratorio de Psicologia; ArgentinaFil: Urrizaga, Alejandra. Universidad Nacional de Córdoba. Facultad de Psicología. Laboratorio de Psicologia; ArgentinaFil: Chincolla, Alejandra. Universidad Nacional de Córdoba. Facultad de Psicología. Laboratorio de Psicologia; ArgentinaFil: Richaud, María Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental Dr. Horacio J. A. Rimoldi; Argentin

Moral Grandstanding in Public Discourse: Status-Seeking Motives as a Potential Explanatory Mechanism in Predicting Conflict

Public discourse is often caustic and conflict-filled. This trend seems to be particularly evident when the content of such discourse is around moral issues (broadly defined) and when the discourse occurs on social media. Several explanatory mechanisms for such conflict have been explored in recent psychological and social-science literatures. The present work sought to examine a potentially novel explanatory mechanism defined in philosophical literature: Moral Grandstanding. According to philosophical accounts, Moral Grandstanding is the use of moral talk to seek social status. For the present work, we conducted six studies, using two undergraduate samples (Study 1, N = 361; Study 2, N = 356); a sample matched to U.S. norms for age, gender, race, income, Census region (Study 3, N = 1,063); a YouGov sample matched to U.S. demographic norms (Study 4, N = 2,000); and a brief, one-month longitudinal study of Mechanical Turk workers in the U.S. (Study 5, Baseline N = 499, follow-up n = 296), and a large, one-week YouGov sample matched to U.S. demographic norms (Baseline N = 2,519, follow-up n = 1,776). Across studies, we found initial support for the validity of Moral Grandstanding as a construct. Specifically, moral grandstanding motivation was associated with status-seeking personality traits, as well as greater political and moral conflict in daily life

Fear and Greed in Financial Markets: A Clinical Study of Day-Traders

We investigate several possible links between psychological factors and trading performance in a sample of 80 anonymous day-traders. Using daily emotional-state surveys over a five-week period as well as personality inventory surveys, we construct measures of personality traits and emotional states for each subject and correlate these measures with daily normalized profits-and-losses records. We find that subjects whose emotional reaction to monetary gains and losses was more intense on both the positive and negative side exhibited significantly worse trading performance. Psychological traits derived from a standardized personality inventory survey do not reveal any specific "trader personality profile", raising the possibility that trading skills may not necessarily be innate, and that different personality types may be able to perform trading functions equally well after proper instruction and practice.

The effect of personality on collaborative task performance and interaction

Collocated, multi-user technologies, which support group-work are becoming increasingly popular. Examples include MERL's Diamondtouch and Microsoft's Surface, both of which have evolved from research prototypes to commercial products. Many applications have been developed for such technologies which support the work and entertainment needs of small groups of people. None of these applications however, have been studied in terms of the interactions and performances of their users with regards to their personality. In this paper, we address this research gap by conducting a series of user studies involving dyads working on a number of multi-user applications on the DiamondTouch tabletop device

Does personality effect emotion facial recognition? A comparison between Ekman’s Emotion Hexagon Test and a newly created measure

Recent research has highlighted one possible problem faced when it comes to assessing the recognition of emotion in the human face. Previous research has suggested that the images used in the methods of assessment are becoming too familiar within the psychological research domain. They therefore suggest new ways of creating images to look at facial emotion recognition. To investigate this issue, the current study created a new emotion recognition task (Laura’s Emotion Hexagon Task) and compared this to the older Ekman’s Emotion Hexagon Test. 60 participants completed both tasks along with the IPIP-NEO. This measure looked at whether personality could predict the scores for the two facial emotion recognition tasks. Results showed that the agreeableness and extraversion personality were significant predictors of Laura’s Emotion Hexagon Task. Discussions of the findings are in relation to previous research about methodological issues surrounding facial emotion recognition, and results are discussed in relation to previous findings of how personality can effect facial emotion recognition

Short communication: a hierarchy of items within Eysenck’s EPI

Based on the recent finding of a hierarchical scale for Neuroticism in the NEO-Five Factor Inventory, two further personality inventories: the Eysenck Personality Inventory and Goldberg’s International Personality Item Pool were analysed using the Mokken Scaling Procedure for hierarchical scales. Items from two dimensions of the Eysenck Personality Inventory: Neuroticism and Extraversion produced hierarchical scales of 12 and five items, respectively. The Neuroticism items ran from items expressing mild to more extreme worry and the Extraversion items ran from mild sociability to more extreme ‘showing off’. The utility of hierarchical scales in personality measurement is discussed in terms of furthering theoretical understanding of personality and also practical application. In addition, the reasons why only one of these scales should produce hierarchical sets of items is discussed

Global megatrends of humanity, fourth industrial revolution and developments of the future economy. Big data

У статті розглянуто основні ознаки Великих даних, галузь їх застосування, зв'язок із машинним навчанням. Наведені інструменти для роботи з Великими даними, приклади можливостей таргетованої реклами на основі їх аналізу. Оцінено перспективи та труднощі використання принципів Big Data на базі прикладів застосування у транспортних системах, логістичних комплексах, ліфтобудуванні й медицині.The article deals with the main features of Big Data, the area of their application, the connection with machine learning. It is described that a self-studying program receives an arbitrary set of data units that conform to a certain pattern and after studying this set, the program is a model of this pattern, that is, a set of criteria by which the algorithm can determine whether a specific unit of data is the desired pattern or not. In the future, applying this model to a new and random data set, the program can find in it the units of data in which the pattern is executed. Professional tools for working with Big Data, such as software products and distributed computing (cloud computing) are considered. The means for working with Big Data, examples of targeted advertising based on their analysis are described. The effectiveness of targeted advertising application based on the use of analysis of character traits using the most popular personality model "Big Five" known also as OCEAN (openness to experience, conscientiousness, extraversion, agreeableness, neuroticism), surface characteristics and human way of life are estimated. The effectiveness of personalized advertising on the basis of the results of psychometric analysis using Big Data on an example of an election campaign is investigated. It is shown how the electorate's research was conducted, through simulation, division into different segments, with each of them being actively interacted with ethereal and targeted television advertising, as well as through advertising on the Internet. An estimation of perspectives and difficulties of using Big Data principles on the basis of application examples in various transport systems, resource savings, logistic complexes and systems, elevator building and medical industry

Nuevo banco de ítems para evaluar adaptativamente los Cinco Grandes

Even though the Five Factor Model (FFM) has been the dominant paradigm in personality research for the past two decades, very few studies have measured the FFM adaptively. Thus, the purpose of this research was the building of a new item pool to develop a computerized adaptive test (CAT) for personality assessment. Method: A pool of 480 items that measured the FFM facets was developed and applied to 826 participants. Facets were calibrated separately and item selection was performed being mindful of the preservation of unidimensionality of each facet. Then, a post-hoc simulation study was carried out to test the performance of separate CATs to measure the facets. Results: The final item pool was composed of 360 items with good psychometric properties. Findings reveal that a CAT administration of four items per facet (total length of 120 items) provides accurate facets scores, while maintaining the factor structure of the FFM. Conclusions: An item pool with good psychometric properties was obtained and a CAT simulation study demonstrated that the FFM facets could be measured with precision using a third of the items in the poolA pesar de que el Modelo de los Cinco Factores (MCF) ha sido el paradigma predominante durante las últimas dos décadas, muy pocos estudios han medido el MCF de forma adaptativa. El objetivo de esta investigación fue construir un nuevo banco de ítems para desarrollar un test adaptativo informatizado (TAI) para evaluar la personalidad. Método: se desarrolló un banco de 480 ítems para evaluar las facetas del MCF y se aplicó a 826 participantes. Cada faceta se calibró por separado y la selección de ítems se realizó atendiendo a que cada faceta fuese unidimensional. Después se realizó un estudio de simulación post-hoc para evaluar la efi ciencia de TAIs a nivel de facetas. Resultados: el banco final estaba formado por 360 ítems con buenas propiedades psicométricas. Los resultados demostraron que la aplicación adaptativa de cuatro ítems por faceta proporciona puntuaciones precisas en las mismas, al mismo tiempo que se mantiene la estructura factorial del MCF. Conclusiones: el banco final está formado por ítems con buenas propiedades psicométricas. La aplicación adaptativa del banco permite medir la personalidad de forma eficiente a nivel de facetas utilizando una tercera parte de los ítemsThe research has been funded by the Ministry of Economy and Competitivity of Spain (PSI2013-44300-P), and the UAM-IIC Chair «Psychometric Models and Applications

Using item response theory to develop measures of acquisitive and protective self-monitoring from the original self-monitoring scale

For the past 40 years, the conventional univariate model of self-monitoring has reigned as the dominant interpretative paradigm in the literature. However, recent findings associated with an alternative bivariate model challenge the conventional paradigm. In this study, item response theory is used to develop measures of the bivariate model of acquisitive and protective self-monitoring using original Self-Monitoring Scale (SMS) items, and data from two large, nonstudent samples (Ns = 13,563 and 709). Results indicate that the new acquisitive (six-item) and protective (seven-item) self-monitoring scales are reliable, unbiased in terms of gender and age, and demonstrate theoretically consistent relations to measures of personality traits and cognitive ability. Additionally, by virtue of using original SMS items, previously collected responses can be reanalyzed in accordance with the alternative bivariate model. Recommendations for the reanalysis of archival SMS data, as well as directions for future research, are provided