6 resultados para study success

em Universidad de Alicante


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Although the study of factors affecting career success has shown connections between biographical and other aspects related to ability, knowledge and personality, few studies have examined the relationship be-tween emotional intelligence and professional success at the initial career stage. When these studies were carried out, the results showed significant relationships between the dimensions of emotional intelligence (emotional self-awareness, self-regulation, social awareness or social skills) and the level of professional competence. In this paper, we analyze the relationship between perceived emotional intelligence, measured by the Trait Meta-Mood Scale (TMMS-24) questionnaire, general intelligence assessed by the Cattell factor "g" test, scale 3, and extrinsic indicators of career success, in a sample of 130 graduates at the beginning of their careers. Results from hierarchical regression analysis indicate that emotional intelligence makes a specific contribution to the prediction of salary, after controlling the general intelligence effect. The perceived emotional intelligence dimensions of TMMS repair, TMMS attention and sex show a higher correlation and make a greater contribution to professional success than general intelligence. The implications of these results for the development of socio-emotional skills among University graduates are discussed.

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In order to determine the contribution of emotional intelligence (EI) to career success, in this study, we analyzed the relationship between trait EI (TEI), general mental ability (GMA), the big five personality traits, and career success indicators, in a sample of 130 graduates who were in the early stages of their careers. Results from hierarchical regression analyses indicated that TEI, and especially its dimension “repair,” has incremental validity in predicting one of the career success indicators (salary) after controlling for GMA and personality. These findings provide support for the use of TEI measures as predictors of career success in the early stage.

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A new methodology is proposed to produce subsidence activity maps based on the geostatistical analysis of persistent scatterer interferometry (PSI) data. PSI displacement measurements are interpolated based on conditional Sequential Gaussian Simulation (SGS) to calculate multiple equiprobable realizations of subsidence. The result from this process is a series of interpolated subsidence values, with an estimation of the spatial variability and a confidence level on the interpolation. These maps complement the PSI displacement map, improving the identification of wide subsiding areas at a regional scale. At a local scale, they can be used to identify buildings susceptible to suffer subsidence related damages. In order to do so, it is necessary to calculate the maximum differential settlement and the maximum angular distortion for each building of the study area. Based on PSI-derived parameters those buildings in which the serviceability limit state has been exceeded, and where in situ forensic analysis should be made, can be automatically identified. This methodology has been tested in the city of Orihuela (SE Spain) for the study of historical buildings damaged during the last two decades by subsidence due to aquifer overexploitation. The qualitative evaluation of the results from the methodology carried out in buildings where damages have been reported shows a success rate of 100%.

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This paper analyses the application of the cluster concept to tourist destinations using Benidorm as a case study. A questionnaire was administered to tourism firms based in Benidorm in order to determine whether this destination currently constitutes a tourism cluster or whether it possesses the ideal characteristics to become a cluster with the private agents' collaboration, that is, whether it is a potential cluster. The results obtained from this research indicate that Benidorm's success is not derived from the presence of a cluster due to a series of elements that prevent its existence. In this destination there is a need to strengthen cooperation between public and private agents (especially in those areas that determine the competitive advantage of the destination) and to design a strategy based on shared goals. Both of these elements are fundamental for the characterisation of a cluster.

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Using a sample of 339 university graduates from the University of Alicante (Spain) three years after completion of their studies, we studied the relationships between general intelligence (GI), personality traits, emotional intelligence (EI), academic performance, and occupational attainment and compared the results of conventional regression analysis with the results obtained from applying regression mixture models. The results reveal the influence of unobserved population heterogeneity (latent class) on the relationship between predictors and criteria and the improvement in the prediction obtained from applying regression mixture models compared to applying a conventional regression model.

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Steam technology revolutionised maritime transport during the nineteenth century. Together with the establishment of the first regular lines, steamers soon led to the commencement of pleasure navigation. The aim of this article is to analyse the impact and scope of this process in Spain, by means of a study of the first experiences in the mid-nineteenth century. In addition to a brief introduction and final conclusions, the paper is structured around four sections. The first contains an appraisal of the situation of passenger transport. Some information is then provided regarding the first cruise in 1854. Next, the essay highlights some of the features of short excursions that were very well received by the public, especially in the island of Majorca. Finally, attention is given to a very special type of travel, the main attraction of which lay in the opportunity to witness an event of a military nature.