The aim of the paper is to introduce an innovative approach based both on confirmative and exploratory statistical methods aiming to assess the sensitivity of research activity evaluation models. The paper centers on one single component of the funding model, the scientific research activity evaluation, for two reasons: it represents the primary component on which the Italian universities are called to invest in the future; the proposed approach has revealed for this component the highest sensitivity to the governmental model as compared to the others. The proposal of the present contribution is to present a new approach to the CI Sensitivity Analysis based on a mixture of explorative and confirmative analysis aiming to investigate the impact of the different subjective choices on the CI variability and the related individual differences among the statistical units as well.
Exploring the Sensitivity of Scientific Research Activity Evaluation Models by Multivariate Data Analysis
ROMANO, ROSARIA
2011-01-01
Abstract
The aim of the paper is to introduce an innovative approach based both on confirmative and exploratory statistical methods aiming to assess the sensitivity of research activity evaluation models. The paper centers on one single component of the funding model, the scientific research activity evaluation, for two reasons: it represents the primary component on which the Italian universities are called to invest in the future; the proposed approach has revealed for this component the highest sensitivity to the governmental model as compared to the others. The proposal of the present contribution is to present a new approach to the CI Sensitivity Analysis based on a mixture of explorative and confirmative analysis aiming to investigate the impact of the different subjective choices on the CI variability and the related individual differences among the statistical units as well.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
