Rickety numbers: Volatility of university rankings and policy implications |
| |
Authors: | Michaela Saisana Béatrice d’HombresAndrea Saltelli |
| |
Institution: | Econometrics and Applied Statistics, Joint Research Centre, European Commission, Enrico Fermi 2749, 21027 Ispra, Italy |
| |
Abstract: | The most popular world university rankings are routinely taken at face value by media and social actors. While these rankings are politically influential, they are sensitive to both the conceptual framework (the set of indicators) and the modelling choices made in their construction (e.g., weighting or type of aggregation). A robustness analysis, based on a multi-modelling approach, aims to test the validity of the inference about the rankings produced in the Academic Ranking of World Universities (ARWU) of Shanghai Jiao Tong University and those produced by the UK's Times Higher Education Supplement (THES). Conclusions are drawn on the reliability of individual university ranks and on relative country or macro regional performance (e.g., Europe versus USA versus China) in terms of the number of top performing institutions. We find that while university and country level statistical inferences are unsound, the inference on macro regions is more robust. The paper also aims to propose an alternative ranking which is more dependant on the framework than on the methodological choices. |
| |
Keywords: | University Ranking Composite indicator Uncertainty analysis Sensitivity analysis |
本文献已被 ScienceDirect 等数据库收录! |
|