The eValuation of Research Quality (VQR) is one of the most important assessment processes achieved by the National Agency for the Evaluation of Universities and Research Institutes. Its main task is to provide information on the status of the Italian research system by assessing the performance of universities in various scientific areas. The basic evaluation criteria were defined by panels of experts according to the specific characteristics of each subject area and through a synthetic statement on the products submitted by researchers. With the aim of studying this phenomenon in depth, DINDSCAL (Direct Individual Differences Scaling) model is proposed for a compositional analysis of VQR dataset.

Direct Individual Differences Scaling for Evaluation of Research Quality

Gallo M
;
Simonacci V
2018-01-01

Abstract

The eValuation of Research Quality (VQR) is one of the most important assessment processes achieved by the National Agency for the Evaluation of Universities and Research Institutes. Its main task is to provide information on the status of the Italian research system by assessing the performance of universities in various scientific areas. The basic evaluation criteria were defined by panels of experts according to the specific characteristics of each subject area and through a synthetic statement on the products submitted by researchers. With the aim of studying this phenomenon in depth, DINDSCAL (Direct Individual Differences Scaling) model is proposed for a compositional analysis of VQR dataset.
2018
Inglese
A. Abruzzo; E. Brentari; M. Chiodi; D. Piacentino
Book of Short Papers SIS2018
contributo
49th Scientific Meeting of the Italian Statistical Society
1363
1366
4
9788891910233
PEARSON
ITALIA
Esperti anonimi
no
20-22 June 2018
Palermo
Internazionale
compositional data, log-ratios, DINDSCAL, Stiefel mainifold, VQR data
3
Gallo, M; Trendafilov, N; Simonacci, V
internalNetwork
273
info:eu-repo/semantics/conferenceObject
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11574/183649
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