Sensitivity Analysis of Composite Indicators through Mixed Model Anova

The paper proposes a new approach for analysing the stability of Composite Indicators. Starting from the consideration that different subjective choices occur in their construction, the paper emphasizes the importance of investigating the possible alternatives in order to have a clear and objective picture of the phenomenon under investigation. Methods dealing with Composite Indicator stability are known in literature as Sensitivity Analysis. In such a framework, the paper presents a new approach based on a combination of explorative and confirmative analysis aiming to investigate the impact of the different subjective choices on the Composite Indicator variability and the related individual differences among the statistical units as well.sensitivity analysis,composite indicators,analysis of variance,principal component analysis

Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21

The volume collects the papers presented at the Conference “Stat.Edu’21 -New Perspectives in Statistics Education”. The Conference was held at the Department of Political Sciences of the University of Naples Federico II (25-26 March 2021). The conference was the final event of the “ALEAS - Adaptive LEArning in Statistics”, an ERASMUS+ project (https://aleas-project.eu) developed in the period 2018-2021 to design and implement an Adaptive LEArning system able to offer personalised learning paths to students, with the purpose to provide them remedial advice to deal with the “statistics anxiety”. Stat.Edu’21 aimed at stimulating discussions, solicitations and contributions around the central theme of ALEAS, the development of adaptive learning systems in the field of Higher Education as a complementary tool for traditional courses and promote a community of practice in this field. The volume collects 12 papers reporting reflections and quantitative studies covering mainly three topics: the assessment of the effects of anxiety or more generally of a different attitude in the study of Statistics, tools and methods for the assessment of training paths and technology-based learning experiencesillustratorIl volume raccoglie i contributi presentati alla conferenza “Stat.Edu’21 -New Perspectives in Statistics Education”. La Conferenza è stata ospitata dal Dipartimento di Scienze Politiche dell’Università degli Studi di Napoli Federico II (25-26 marzo 2021). La conferenza è stata organizzata come evento finale del progetto ERASMUS+ “ALEAS - Adaptive LEArning in Statistics” (https://aleas-project.eu) che si è svolto dal 2018 al 2021. Il progetto ha avuto l’obiettivo di sviluppare e implementare un sistema di apprendimento adattivo che offra percorsi di apprendimento personalizzati agli studenti, con lo scopo ultimo di aiutare gli studenti a fronteggiare l’ansia statistica. Stat.Edu’21 ha stimolato riflessioni, discussioni e contributi sul tema di ALEAS e sullo sviluppo di sistemi di apprendimento adattivo in ambito universitario come strumenti complementari ai corsi tradizionali e contribuito lo scambio di buone pratiche. Il volume comprende 12 contributi che propongono riflessioni e studi quantitativi in particolare su 3 temi: la valutazione degli effetti dell’ansia o più generalmente lo studio di diverse attitudini nello studio della statistica, strumenti e metodi per la valutazione dei percorsi di insegnamento e le esperienze di apprendimento basate sulla tecnologia

Chapter Linear regression pathmox segmentation tree: the case of visitors’ satisfaction to attend a Spanish football match at the stadium

Analysis of a dependency model can be furthered by assessing whether a model and/or the impact of regressors on dependent variables differ if heterogeneity is observed. In other words, it may be interesting to assess differences between a global model estimated for a whole group and models estimated for sub-groups identified on the basis of known categorical variables external to the model, as those variables may identify partitions characterized by dependency structure heterogeneity. This is particularly important in decision-making as policies based on the generic model could yield inaccurate and biased results. In this paper, we propose a procedure, the Pathmox approach that exploits the potential of segmentation trees to identify partitions in an initial set of data characterized by different linear regression patterns. We will apply this new approach to measure the visitors’ satisfaction to attend a Spanish football match at the stadium. Thus, we will analyze the relationship between two significant aspects related to the visitors’ satisfaction: stadium service quality and image of the football team, taking into account five visitors’ background variables as potential sources of heterogeneity: age, gender, if they were tourist (yes or not), if it was the first time at the stadium (yes or not), and level of involvement with the football team. From a decision-making perspective, the paper contributes evidence exemplifying how an apparently representative global model can in fact mask different relationships between variables due to heterogeneous data, underlining the importance of accounting for heterogeneity when defining new policies

On the use of quantile regression to deal with heterogeneity: the case of multi-block data

AbstractThe aim of the paper is to propose a quantile regression based strategy to assess heterogeneity in a multi-block type data structure. Specifically, the paper deals with a particular data structure where several blocks of variables are observed on the same units and a structure of relations is assumed between the different blocks. The idea is that quantile regression complements the results of the least squares regression by evaluating the impact of regressors on the entire distribution of the dependent variable, and not only exclusively on the expected value. By taking advantage of this, the proposed approach analyses the relationship among a dependent variable block and a set of regressors blocks but highlighting possible similarities among the statistical units. An empirical analysis is provided in the consumer analysis framework with the aim to cluster groups of consumers according to the similarities in the dependence structure among their overall liking and the liking for different drivers

Chapter A quantitative study to measure the family impact of e-learning

The Covid emergency has forced universities around the world to transfer teaching activities online. Even if online teaching has made it possible to carry out the planned teaching activities, it is necessary, in retrospect, to evaluate the impact that this teaching method has had on the different types of students, in terms of preparation, characteristics and social background. In this framework, the presents paper aims to evaluate if distance learning can be considered socially less useful because it increases the divide between the advantaged and disadvantaged students. The study is based on the analysis of data collected at the University of Naples Federico II in June 2020. More than 19 thousand students took part in the survey, carried out to monitor distance learning activities. The aim of this work is to analyse whether and how much the distance learning activities has had an impact on the students' families both in terms of the organisation of the spaces and daily rhythms and from an economic point of view, having required additional expenses. This objective will be achieved through the use of a factorial method that will provide a composite indicator measuring the family impact of distance learning. We will then try to explain if the family impact takes different forms and intensity depending on the students' characteristics, the availability of computer equipment and the type of teaching used. Quantile regression will allow to differentiate the study of effects for different levels of family impact. Finally, it will also be evaluated whether the experience lived in terms of the family impact of the distance learning, conditions the judgement on the preferred teaching method for the future, totally online, oriented towards a complete return to face-to-face teaching or a mixed solution that takes advantage of the experience lived

ALEAS: a tutoring system for teaching and assessing statistical knowledge

Over the years, several studies have shown the relevance of one-to-one compared to one-to-many tutoring, shedding light on the need for technology-based platforms to assist traditional learning methodologies. Therefore, in recent years, tutoring systems that collect and analyse responses during the user interaction for an automated assessment and profiling were developed as a new standard to improve the learning out- come. In this framework, the tutoring system Adaptive LEArning system for Statistics (ALEAS) is aimed at providing an adaptive assessment of undergraduate students’ statistical abilities enrolled in social and human sciences courses. ALEAS is developed in the contest of the ERAS- MUS+ Project (KA+ 2018-1-IT02-KA203-048519). The article describes the ALEAS workflow; in particular, it focuses on the students’ categorisation according to their abilities. The student follows a learning process defined according to the Knowledge Space Theory, and she/he is classified at the end of each learning unit. The proposed classification method is based on the multidimensional latent class item response theory, where the dimensions are defined according to the Dublin learning dimensions. In this work, results from a simulation study support our approach’s effectiveness and encourage its future use with students

CAETANO E CHICO COM A ITÁLIA NO CANTAR

Este artigo investiga as ressonâncias da Itália nas obras dos cancionistas brasileiros Caetano Veloso e Chico Buarque de Hollanda – seja através da música do cinema italiano, com a influência de Nino Rota, no caso de Veloso, e Ennio Morricone, no caso de Buarque; seja, no modo espelhar com que cada cancionista plasma a Itália no Brasil, e vice-versa, a partir de experiências tão traumáticas quanto basilares da educação ética e estética de cada um. Dessa forma, este artigo quer demonstrar as relações entre os países, filtradas e traduzidas em canção por dois importantes artistas e intelectuais do Brasil. Palavras-chave: Caetano Veloso. Chico Buarque. Cinema italiano. Roma. Brasil