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  • Online Resource  (4)
  • Undetermined  (4)
  • Petrucci, Alessandra  (4)
  • Sociology  (3)
  • Society & social sciences  (1)
  • Deutschland
  • 1
    ISBN: 9791221501063
    Language: Undetermined
    Pages: 1 Online-Ressource (6 p.)
    Series Statement: Proceedings e report
    Keywords: Society & social sciences
    Abstract: Educational achievement can be considered a multifaceted issue, which comprises different domains of learning. In Italy, on one hand the INVALSI tests administered to students through the schooling years aim to measure the ability of students in numeracy, literacy and English reading and listening competencies, separately. On the other hand, the high school final mark may be considered an overall performance outcome, formed by the combination of several marks in different subjects. Finally, at university academic achievement may be represented by the number of credits earned during the first year of enrolment, usually considered a good predictor of successful academic performances. The aim of the present work is to understand if the INVALSI scores, the high school final mark and the number of credits earned in the first academic year are associated. More specifically, our objective is twofold: first, we intend to verify if and how the INVALSI scores are associated with students’ high school final mark; second, we aim to check if the INVALSI scores and / or the high school final mark are predictive of students’ career in terms of credits earned in the first year. We will interpret our results concentrating our attention on eventual differences depending on type of school, university, field of study, student’s geographical area of residence. We use the MOBYSU.it database, selecting nearly 200.000 students who obtained their high school diploma in Italy in 2019 and enrolled in an Italian university in academic year 2019/2020. For the first objective, we estimate a multilevel ordered logit models, with students nested within high schools; as for the second objective, we estimate a cross-classified multilevel models, with students nested within high schools and athenaeums. We interpret our results in the light of assessing eventual divergences in students’ performances during the transition from high school to university
    Note: English
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  • 2
    ISBN: 9788855183048 , 9788855183055
    Language: Undetermined
    Pages: 1 Online-Ressource (164 p.)
    Series Statement: Proceedings e report
    Keywords: Sociology ; Probability & statistics
    Abstract: This book includes 25 peer-reviewed short papers submitted to the Scientific Opening Conference titled "Statistics and Information Systems for Policy Evaluation", aimed at promoting new statistical methods and applications for the evaluation of policies and organized by the Association for Applied Statistics (ASA) and the Department of Statistics, Computer Science, Applications DiSIA "G. Parenti" of the University of Florence, jointly with the partners AICQ (Italian Association for Quality Culture), AICQ-CN (Italian Association for Quality Culture North and Centre of Italy), AISS (Italian Academy for Six Sigma), ASSIRM (Italian Association for Marketing, Social and Opinion Research), Comune di Firenze, the SIS - Italian Statistical Society, Regione Toscana and Valmon - Evaluation & Monitoring
    Note: English
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  • 3
    ISBN: 9788855184618 , 9788855184625
    Language: Undetermined
    Pages: 1 Online-Ressource (250 p.)
    Series Statement: Proceedings e report
    Keywords: Sociology
    Abstract: This book includes 40 peer-reviewed short papers submitted to the Scientific Conference titled Statistics and Information Systems for Policy Evaluation, aimed at promoting new statistical methods and applications for the evaluation of policies and organized by the Association for Applied Statistics (ASA) and the Dept. of Statistics, Computer Science, Applications DiSIA "G. Parenti" of the University of Florence, jointly with the partners AICQ (Italian Association for Quality Culture), AICQ-CN (Italian Association for Quality Culture North and Centre of Italy), AISS (Italian Academy for Six Sigma), ASSIRM (Italian Association for Marketing, Social and Opinion Research), Comune di Firenze, the SIS - Italian Statistical Society, Regione Toscana and Valmon - Evaluation & Monitoring
    Note: English
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  • 4
    ISBN: 9788864535210 , 9788892731851
    Language: Undetermined
    Pages: 1 Online-Ressource (1066 p.)
    Series Statement: Proceedings e report
    Keywords: Sociology
    Abstract: The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of 'meaning' extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of 'Big data', open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data
    Note: Italian
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