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University performance before and du...
~
Allegro, Rosalinda.
University performance before and during economic crisesan analysis of graduate characteristics /
Record Type:
Electronic resources : Monograph/item
Title/Author:
University performance before and during economic crisesby Rosalinda Allegro, Ornella Giambalvo.
Reminder of title:
an analysis of graduate characteristics /
Author:
Allegro, Rosalinda.
other author:
Giambalvo, Ornella.
Published:
Cham :Springer International Publishing :2020.
Description:
xi, 71 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Universities and collegesRatings and rankingsItaly.
Online resource:
https://doi.org/10.1007/978-3-030-36142-6
ISBN:
9783030361426$q(electronic bk.)
University performance before and during economic crisesan analysis of graduate characteristics /
Allegro, Rosalinda.
University performance before and during economic crises
an analysis of graduate characteristics /[electronic resource] :by Rosalinda Allegro, Ornella Giambalvo. - Cham :Springer International Publishing :2020. - xi, 71 p. :ill., digital ;24 cm. - UNIPA Springer series,2366-7516. - UNIPA Springer series..
1 Introduction -- 2 About Overeducation and Mismatching -- 3 Methodology -- 4 Data -- 5 Main Results -- 6 Comments and Final Remarks -- 7 Appendix A: Matrices of Aggregated Concordance Indices -- 8 Appendix B: Matrices of Outranking Credibility Indices.
This book briefly analyzes the performance of selected Italian universities during a pre-crisis period and an economic crisis period, on the basis of graduate characteristics and graduate placement statistics. The Electre model is used to produce eighteen university rankings according to three different scenarios (Neutral, University, and Job), three different roles ascribed to the key criteria (overeducation and mismatching), and two years corresponding to two postgraduation placement sampling surveys carried out in a pre-crisis period (2006) and during a crisis period (2011) The eighteen rankings are based on Economics/Statistics and Political & Social Sciences graduates. The rankings vary according to both the scenarios considered and graduate characteristics. Some differences are noted between the two fields of study. The book will be of interest for statisticians interested in evaluation issues, policymakers concerned with university comparisons and rankings, and future students and graduates wishing to make the best choice when selecting their university course. In addition, the new methodology adopted will be relevant for scholars in Statistics and Engineering.
ISBN: 9783030361426$q(electronic bk.)
Standard No.: 10.1007/978-3-030-36142-6doiSubjects--Topical Terms:
862968
Universities and colleges
--Ratings and rankings--Italy.
LC Class. No.: LB2331.65.I8 / A454 2020
Dewey Class. No.: 378.00727
University performance before and during economic crisesan analysis of graduate characteristics /
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1 Introduction -- 2 About Overeducation and Mismatching -- 3 Methodology -- 4 Data -- 5 Main Results -- 6 Comments and Final Remarks -- 7 Appendix A: Matrices of Aggregated Concordance Indices -- 8 Appendix B: Matrices of Outranking Credibility Indices.
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This book briefly analyzes the performance of selected Italian universities during a pre-crisis period and an economic crisis period, on the basis of graduate characteristics and graduate placement statistics. The Electre model is used to produce eighteen university rankings according to three different scenarios (Neutral, University, and Job), three different roles ascribed to the key criteria (overeducation and mismatching), and two years corresponding to two postgraduation placement sampling surveys carried out in a pre-crisis period (2006) and during a crisis period (2011) The eighteen rankings are based on Economics/Statistics and Political & Social Sciences graduates. The rankings vary according to both the scenarios considered and graduate characteristics. Some differences are noted between the two fields of study. The book will be of interest for statisticians interested in evaluation issues, policymakers concerned with university comparisons and rankings, and future students and graduates wishing to make the best choice when selecting their university course. In addition, the new methodology adopted will be relevant for scholars in Statistics and Engineering.
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Mathematics and Statistics (Springer-11649)
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EB LB2331.65.I8 A422 2020 2020
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https://doi.org/10.1007/978-3-030-36142-6
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