1,721,167 research outputs found
Introduction to the Suppl “Hot topics in epidemiology, pathophysiology and pharmacoeconomy in endocrinology”
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A way to resilience: how can Italian disadvantaged students and schools close the achievement gap?
No full textCome gli studenti delle regioni italiane superano il gap socio-economico: evidenze da PISA 2012
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School climate and academic performance of Italian students: the role of disciplinary behaviour and parental involvement
Full text linkEducational researchers have increasingly recognised the importance of school climate as a malleable factor for improving academic performance. In this perspective, we exploit the data collected by the Italian Institute for the Evaluation of the Education System (INVALSI) to assess the effect of some school climate related factors on academic performance of tenth-grade Italian students. A Multilevel Bayesian Structural Equation Model (MBSEM) is adopted to highlight the effect of some relevant dimensions of school climate (students’ disciplinary behaviour and parents’ involvement) on academic performance and their role on the relationships between student socioeconomic status and achievement. The main findings show that disciplinary behaviour, on the one hand, directly influences the level of competence of the students, and, on the other hand, it partly mediates the effect of socioeconomic background whereas parents’ involvement does not appear to exert any significant effect on students’ performance
Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data
No full textThe increasing diffusion of standardized assessments of students’ competences has been accompanied by an increasing need to make reliable data available to all stakeholders of the educational system (policy makers, teachers, researchers, families and students). In this light, we propose a multistep approach to detect and correct teacher cheating, which decreases the quality of student data offered by the Italian Institute for the Educational Evaluation of Instruction and Training. Our method integrates the “mechanistic” logic of the fuzzy clustering technique with a statistical model-based approach, and it aims to improve the detection of cheating and to correct test scores at both the class and student level. The results show a normalization of the scores and a stronger correction on data for Southern regions, where the propensity to cheat appears to be highest
The early growth of start-ups: innovation matters. Evidence from Italy
No full textPurpose: Despite the relevance of innovation in entrepreneurship literature, empirical research on the innovation-performance relationship in start-ups is underdeveloped and shows controversial results. To bridge this gap, the aim of this paper is to investigate the role of innovativeness on new venture performance in the early stage of the life cycle. Design/methodology/approach: Regression modelling and propensity score matching are used to reveal systematic differences in growth between innovative start-ups (ISUPs) and non-innovative start-ups. We use an ad hoc dataset obtained through merging the financial database AIDA with data from administrative sources (Italian Chambers of Commerce and the Italian Ministry for Economic Development). Findings: The results show that differences in growth can be explained by the different levels of innovativeness in new ventures. Moreover, unlike in prior studies, the innovation inputs matter more than innovation outputs. Indeed, the results support the idea that innovation policies can contribute to maximising the potential of start-ups. Practical implications: The findings provide suggestions for policy makers and entrepreneurs to help firms configure ex ante appropriate actions to support the growth of new ventures in the start-up stage. Originality/value: This study is the first to use the new objective measure of start-up innovation, available from the Italian LD 221 register. Second, different types of innovation are investigated as antecedents of firm growth. Third, we employ propensity score matching, which favours revealing systematic differences in growth between ISUPs and non-innovative start-ups. Fourth, the results of our study are the first to offer evidence on the effectiveness of the new Italian sustaining ISUPs policy
The relevance of educational poverty in Europe: Determinants and remedies
No full textThis paper explores the degree of educational poverty in European countries using data from OECD Programme for International Student Assessment (PISA). This research adopts the class of additive multidimensional poverty measures proposed by Alkire & Foster (2011) and investigates the degree of educational poverty in terms of incidence, breadth, depth and severity. Also, we analyse the impact of students’ characteristics and school-level factors on the probability of being educational poor in various learning dimensions. The findings reveal that between 2006 and 2015 the incidence of educational poverty became more relevant in many European countries, while most of them experienced a reduction of poverty depth and severity. Therefore, several policy scenarios are simulated in order to highlight the school factors that can be activate to alleviate the risk of educational poverty in the European countries that experienced the highest incidence of educational poor student
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