More data is available about universities than ever before, and new software means it can be visualised to tell new stories about our sector. David Morris looks at data on TEF, REF, widening participation, university finances, and student numbers.
There is a long history of research investigating the relationship between research aptitude and teaching ability, within both an individual and collective context. In the aftermath of the 2014 REF, David Morris digs more deeply in to the relationship between NSS and REF – or research and teaching, with some surprising results and some new data to share.
A quick look at what happens when you plot the results of #REF2014 against vice chancellor pay in the UK.
What do social policy at UCL, civil engineering at Cardiff and communications at LSE, have in common with psychology at the University of East London, history at Hertfordshire and English at Bedfordshire? Answer: they are all making a big difference to our lives, according to the 2014 REF.
Here we published the first all-important measure of research ‘intensity’ across the sector which is calculated by measuring the percentage of eligible staff entered in to the REF. This is drawn from the HESA data released after the REF results which showed the total full-time equivalents (FTE) of staff identified as eligible to be submitted to the REF 2014 by HE provider and REF Unit of Assessment.
Wonkhe has crunched the numbers and here is a ranking of UK higher education institutions based on their grade point average from the 2014 REF.
So, the results are in, and most of the sector is looking at the winners and losers: in league tables, power ratings, grade point averages, and the rest – but Graeme Wise on the data blog is following the money.