1,720,984 research outputs found

    Lo scaling multidimensionale

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    Abstract In questo capitolo del testo “Analisi dei dati e data mining per le decisioni aziendali” vengono illustrati i modelli di scaling multidimensionale metrici, non metrici con l’estensione al caso di matrici a tre vie. Particolare attenzione viene dedicata alle applicazioni a problemi reali, utilizzando insiemi di dati di specifico interesse aziendale. Negli esempi sono anche fornite indicazioni sulle procedure utilizzabili nel package statistico SPSS

    Tecniche multivariate e data mining per l'analisi della customer satisfaction: la qualità della didattica nella Facoltà di Economia di Parma

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    Abstract This paper deals with the analysis of customer satisfaction in the context of university teaching. The large amount of available data suggests the conjoint use of different methods of explorative data analysis according to a data mining approach. The application is carried out on the data collected in 2001-02 school year on the students of the Faculty of Economic in the University of Parma. It aims to evaluate the degree of satisfaction with reference to the teaching area of the courses (economic, juridical, mathematical,...) to the students’ characteristics (sex, year of course...) and to the students’ expectation, in order to perform some corrective actions to improve the quality of the teaching process. For each teaching area, analysis of variance, multidimensional scaling and cluster analysis have shown, from different points of view, the weak aspects related either to the teaching abilities either to the interests in the subjects of the courses. Moreover, as regards the students’ expectations, largely fulfilled, the perceived quality has appeared to differ strongly for the disappointed students. The analysis of teaching quality through multilevel models has pointed out the variables which “explain” the differences in the global evaluation of the courses. The stability of the solution as compared to the previous surveys has been confirmed by means of INDSCAL model

    L’educazione finanziaria degli studenti universitari: misurazione e analisi delle determinanti

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    The study surveys 1087 university students to examine their personal financial literacy and the relationship between financial literacy and respondents’ sociodemographic characteristics and family background. First-year and third-year business and non-business students are analysed. The questionnaire administered is designed to test knowledge and skills across a range of specific areas of financial literacy as well as collect extensive details regarding study characteristics, demographic characteristics, family background, and self-perception of knowledge. The study finds that financial literacy among university students is not high and that lack of financial knowledge is widespread. Results show that participants answer about 63% of questions correctly. We find gender differences, with male students performing in average better than females. Financial literacy seems to improve with age, personal interest in financial matters and family financial sophistication. Work experience, living alone, personal educational attainment, and parents’ education appear to be not strongly related to financial literacy. Paradoxically, students who feel less confident about their financial skills are less interested in financial education programs. Our finding is consistent with other studies that show that most young adults are not well equipped to make correct financial decisions
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