Nondeterministic ranking of university departments
作者：
Highlights：
• We classified departments of Italian universities into groups, supporting the notion of statistical ranking.
• There are different typologies of sources of randomness of ranking.
• We applied the t-test to take into account the variability of indicator.
• We obtain discrete clusters so that the variability of the underlying indicator is considered and not aggregated in a single number.
• A clustering of departments can also be used as a strategic tool for universities.
摘要
•We classified departments of Italian universities into groups, supporting the notion of statistical ranking.•There are different typologies of sources of randomness of ranking.•We applied the t-test to take into account the variability of indicator.•We obtain discrete clusters so that the variability of the underlying indicator is considered and not aggregated in a single number.•A clustering of departments can also be used as a strategic tool for universities.
论文关键词：Departments ranking,Ranking,Research quality,National research assessment
论文评审过程：Received 3 October 2014, Revised 8 January 2016, Accepted 10 January 2016, Available online 30 January 2016, Version of Record 30 January 2016.
论文官网地址：https://doi.org/10.1016/j.joi.2016.01.007
