A Generalised Linear Model Approach to Predict the Result of Research Evaluation

Antonella Basso () and Giacomo di Tollo ()
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Giacomo di Tollo: Ca’ Foscari University of Venice, Department of Economics

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2017, pp 29-41 from Springer

Abstract: Abstract 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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-50234-2_3

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DOI: 10.1007/978-3-319-50234-2_3

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