1,721,051 research outputs found

    A statistical procedure for representing state fragility and transition paths

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    State fragility is a concept that entered the political discourse in the last decades producing remarkable implications for aid allocation and international policies. The operationalization of this concept has generated a number of composite indices to produce rankings of fragile states. However, the temporal dimension of the driving forces leading to fragility has been rather neglected. This article discusses a statistical procedure that helps to represent the global fragility of a country and the path that a country has followed or will follow in the future when possibly entering into (or escaping from) a fragility condition. Specifically, multiple factor analysis is applied to depict vulnerable and weak countries, and to identify the fundamental forces that determine their overall fragility. Moreover, the trajectories of countries along the years are estimated using partial factor scores. Finally, the path of each country is predicted by means of parsimonious regression models, based on a reduced set of explanatory variables, and according to scenarios elaborated from available international outlooks

    Assessing the effects of local contexts on the mobility choices of university students in Campania region in Italy

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    The mobility of university students in Italy has been framed as a phenomenon linked to so-called intellectual migrations and as a subset of the historical and consolidated internal migration path explained in terms of South–North trajectory. This study describes the most important mobility trajectories of students across macro-areas and disciplinary fields, and then evaluates, using a multilevel logistic regression model, the factors that encouraged student cohort, who were enrolled in a degree program in the academic years 2014–2015, to move elsewhere from the Campania region. Beyond fixed and interaction effects related to the students’ personal characteristics, the model included possible random effects linked to the high schools attended by the students to capture the possible influence of the local context on migration choices

    Comparing multistep ahead forecasting functions for time series clustering

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    The autoregressive metric between ARIMA processes has been originally introduced as the Euclidean distance between the AR weights of the one-step-ahead forecasting functions. This article proposes a novel distance criterion between time series that compares the corresponding multistep ahead forecasting functions and that relies on the direct method for model estimation. The proposed approach is complemented by a strategy for visual exploration and clustering based on the DISTATIS algorithm

    ANALISI DELLE RETI E ARCHEOLOGIA: IL CASO STUDIO DELLA GALILEA

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    The area of Northern Israel has been a region of interest for archaeologists. Textual materials are various and useful to reconstruct the history of the region, as well as a lot of data coming from the material culture. This way, archaeologists may shed light on the complex framework of cultures that developed in this territory. In the period between the 1st century BCE and the 2nd century CE, the growing influence of the Romans generated a substantial integration of Galilee into a global context. Through the application of new types of analysis, it is possible to reconstruct cultural and commercial trades of the area. The application of network analysis to archaeological questions is a pivotal subject of scientific debate. In this work, we aim to reconstruct the dynamic connections between Jewish settlements in Galilee on the basis of consistent evidence, speculating on the presence of links whenever proof lacks. Data referring to many types of artefacts were derived from the analysis of scientific papers and archaeological excavation catalogues. This way we obtained a multiplex network in which the nodes are the sites and the links are given by the presence of the different artefacts. Here we present the first findings from an exploratory analysis. Visualization methods are exploited, such as multi-force embedding and multi-task network embedding algorithm. More specifically, the latter, which is based on link prediction, seems to be particularly suited for the data we are dealing with, in which the absence of a link could be due to missing data. Moreover, in order to consider how connections have changed over the reference period, a temporal approach is used. Multiplex network analysis can also be used to model dynamic networks where each layer corresponds to the network state at a given moment

    Archetypal analysis for data driven benchmarking

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    In this work, adopting an exploratory and graphical approach, we suggest to consider archetypal analysis as a basis for a data driven benchmarking procedure. The procedure is aimed at defining some reference performers, at understanding their features, and at comparing observed performances with them. Being archetypes some extreme points, we propose to consider them as reference performers. Then we offer a set of graphical tools in order to describe these archetypal benchmarks, and to evaluate the observed performances with respect to them

    On the determinants of student mobility in an interregional perspective: A focus on campania region

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    This paper analyses the migration flows of university students from Campania who move to other regions to complete their higher education. The data come from a ministerial student database (Anagrafe M.I.U.R) for the 2006–2007 and 2013–2014 academic years. We first discuss migration from Campania to the rest of Italy to compare other southern regions in the framework in terms of the students’ mobility phenomena. We use a network approach to determine the role of each region and to analyse the global relationships between Italian regions. Multilevel models are then used to analyse and investigate the key reasons for these migratory decisions. We test and discuss (1) forced migration, (2) anticipatory migration, (3) migration influenced by prestige of universities and (4) mobility due to geographic proximity to the place of residence

    Grasping Creative Valences: A Person-Centered Study on Creativity as A Resource for Young People’s Optimal Identity Formation

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    Forming an optimal identity is a complex task for young people because it requires distinctive personal resources that are flexible and sensitive to their context. One of these resources, creativity, has been explored in recent psychological literature showing ambiguous relationships with identity development. The present study aims to investigate if and when creativity can be a resource for individual well-being during late adolescence and young adulthood, by including the valences of positive creativity (the use of the creative process to achieve something beneficial to oneself or to the society) and negative creativity (the use of creativity to meet morally questionable goals). The focus is an application of a person-centered approach, latent profile analysis to creativity-identity issues. Participants were 338 adolescents who attended the last year of various high schools in Italy. We used five self-report measures of identity development, creativity valence and specific psychosocial correlates to examine the association between creativity valences, identity processes and both well- and ill-being. Using LPA, we found evidence of four qualitatively and quantitatively distinct subgroups or types of individuals differentiated on the basis of the interplay between creativity and identity. Suggestions for developing interventions to foster creativity in this age group are discussed

    A New Index for the Comparison of Different Measurement Scales

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    In psychometric sciences, a common problem is the choice of a good response scale. Every scale has, by its nature, a propensity to lead a respondent to mainly positive -or negative- ratings. This paper investigates possible causes of the discordance between two ordinal scales evaluating the same goods or services. In psychometric literature, Cohen’s Kappa is one of the most important index to evaluate the strength of agreement, or disagreement, between two nominal variables, in particular in its weighted version. In this paper, a new index is proposed. A proper procedure to determine the lower and upper triangle in a non-square table is also implemented, as to generalize the index in order to compare two scales with a different number of categories. A test is set up with the aim to verify the tendency of a scale to have a different rating compared to a different one. A study with real data is conducted
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