Peer review is still used as the main tool for research evaluation, but its costly and time-consuming nature triggers a debate about the necessity to use, alternatively or jointly with it, bibliometric indicators. In this contribution we introduce an approach based on generalised linear models that jointly uses former peer-review and bibliometric indicators to predict the outcome of UK’s Research Excellence Framework (REF) 2014. We use the outcomes of the Research Assessment Exercise (RAE) 2008 as peer-review indicators and the departmental h-indices for the period 2008–2014 as bibliometric indicators. The results show that a joint use of bibliometric and peer-review indicators can be an effective tool to predict the research evaluation made by REF.
|Data di pubblicazione:||2017|
|Titolo:||A generalised linear model approach to predict the result of research evaluation|
|Titolo del libro:||Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2016|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-319-50234-2|
|Appare nelle tipologie:||3.1 Articolo su libro|
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