Monacciani, Fabiana (2010): University departments evaluation: a multivariate approach.
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Abstract
Aim of the paper is to present a new model, based on multivariate statistic analyses, allowing to express a synthetic judgement on Departments activities by taking into consideration the whole set of indicators describing them both as aggregations of researchers and as University autonomous organs. The model, based on Principal Component Analysis and Cluster Analysis, allows both to explain the determinants of Departments performances, and to classify them into homogeneous groups. The paper shows the results obtained by testing the proposed model on University of Naples “L’Orientale” Departments, using data extracted by the 2007 assessment report to the Ministry of University and Research.
Item Type: | MPRA Paper |
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Original Title: | University departments evaluation: a multivariate approach |
Language: | English |
Keywords: | Evaluation, Departments, Multivariate statistics |
Subjects: | D - Microeconomics > D0 - General I - Health, Education, and Welfare > I2 - Education and Research Institutions > I23 - Higher Education ; Research Institutions C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C19 - Other |
Item ID: | 24224 |
Depositing User: | Fabiana Monacciani |
Date Deposited: | 11 Aug 2010 15:49 |
Last Modified: | 27 Sep 2019 16:34 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/24224 |