Direct Individual Differences Scaling for Evaluation of Research Quality
Contributo in Atti di convegno
Data di Pubblicazione:
2018
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.
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
compositional data, log-ratios, DINDSCAL, Stiefel mainifold, VQR
data
Elenco autori:
Gallo, M; Trendafilov, N; Simonacci, V
Link alla scheda completa:
Titolo del libro:
Book of Short Papers SIS2018