1,721,607 research outputs found

    Economic Performance and capital Structure Choices.

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    The aim of this research is to explore the relationship between the economic performance of a sample of small and medium-size enterprises (SMEs) in the southern Italian textile-clothing industry and the different financial structures they may have chosen to adopt, and then to examine the extent to which the performance itself may change the economic burden imposed by the various financial sources available to these companies. Performance data were collected through the AIDA Bureau Van Dijk Electronic Publishing (BvDEP) database, while an online questionnaire allowed data collection of the other variables. The results of a Mann-Whitney U test show that the financial structures chosen by the SMEs under investigation are closely linked to their economic performance, which in turn changes the burden of some of the available funding sources. Limitations and recommendations for future research are presented

    The S-index: Summarizing patterns of sex differences at the distribution extremes

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    Sex differences researchers are becoming increasingly interested in how differences in averages and variability jointly influence male and female representation at the tails of the distribution. This paper introduces the S -index, a novel index that provides a simple and robust summary of the shape of sex differences at the distribution extremes. The use of S is illustrated with a selection of real-world datasets of personality and cognitive ability, and a R function is provided to calculate S and draw intuitive proportion plots of sex differences across the distribution. The S-index is not limited to the study of sex differences; it can be applied to other domains as long as the groups to be compared are about equally represented in the population and the variables of interest are approximately bell-shaped

    A new look at the relations between attachment and intelligence

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    In this paper we offer a new perspective on the relations between attachment and intelligence, a topic that has received relatively little attention in the recent decades of attachment research. Based on a review of relevant empirical work, a reanalysis of published data, and novel theoretical arguments, we advance a revised model of attachment and intelligence that challenges a number of widespread assumptions in the field. Specifically, we argue that attachment in infancy and childhood is influenced by general intelligence (with lower cognitive ability in ambivalent and disorganized categories compared with secure and avoidant ones), and that attachment states of mind in adulthood show a parallel pattern (with lower cognitive ability in preoccupied and unresolved/unclassifiable categories). The partially genetic correlation between parent and child intelligence gives rise to a previously unrecognized causal pathway linking parents' states of mind to children's attachment; parental intelligence also predicts aspects of sensitivity and mentalizing, and thus exerts an additional indirect influence on children's attachment. Our revised model suggests that intelligence likely contributes to the "transmission gap" between parental state of mind and child attachment; it also offers a novel (partial) explanation of the increased levels of parent-child concordance observed in older children

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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