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A report just published by the Royal Statistical Society looks at the methods used (by newspapers and others) to construct league tables of universities and their departments, based on the results of the UK Research Excellence Framework (REF 2014).

The report's authors include David Firth (Warwick), as part of an RSS working group with Paul Fearnhead (Lancaster University) and Jon Forster (University of Southampton).

A conclusion of the report is that ideally a "quality per researcher" measure should be used for such tables, with all REF-eligible researchers counted and with "quality" being more closely connected to the HEFCE funding formula --- i.e., more closely than the commonly used GPA (grade point average) scoring of quality levels.

The RSS working group's report also makes some related suggestions for the funding councils themselves, about REF submission rules and reporting; these include elimination of the distorting “threshold” effect of REF 2014's formula for the number of Impact Case Studies in each submission.

The report is available via http://www.rss.org.uk/press, or as a direct download at http://www.rss.org.uk/ref PDF file.

Tue 12 May 2015, 15:44 | Tags: STEM

Election exit poll: Not quite 'spot on' this time, but another triumph for statistical methods!

The exit-poll design and analysis methods developed by David Firth (with political scientist John Curtice from the University of Strathclyde) were used again at this week's General Election by all of the major UK broadcasters.

At 10pm on election day the on-air seats prediction (simultaneously on BBC, ITV and Sky) based on the exit poll was: Con 316, Lab 239, SNP 58, LD 10, others 27. The actual result of the election was Con 331, Lab 232, SNP 56, LD 8, others 23.

The 2015 exit-poll prediction was thus not "spot on" as it had been in 2005 and 2010. Many commentators had warned beforehand that the 2015 election would be an especially difficult one to predict. The exit-poll prediction was startlingly different from what had been indicated by commercial pre-election voting-intention polls. (e.g., see The Observer on 10 May, After the exit poll, a tsunami raged across the political map) The exit poll strongly indicated the Conservatives as largest party, and the ultimate outcome of a small Conservative majority was clearly not ruled out. This was in stark contrast to predictions from pre-election polls, which had consistently shown Conservative and Labour neck-and-neck with neither party close to an overall majority.

There were some notable public quotes, most prominent of which came from the former Liberal Democrat leader Lord Ashdown, who was interviewed soon after 10pm on the BBC:

If this exit poll is right, I will publicly eat my hat on your programme.

(He was referring to the predicted collapse of the Liberal Democrats to just 10 parliamentary seats. In the event, it turned out even worse than that for the Liberal Democrats, who won just 8 seats. Lord Ashdown failed to keep his hat-eating promise, though!)

For more information on the methods and their performance at previous UK general elections, see Exit Polling Explained.

Sun 10 May 2015, 12:48 | Tags: STEM

New Director of Warwick Data Science Institute

With effect from April 1st 2015, Saul Jacka has handed over to David Firth as Director of the Warwick Data Science Institute (WDSI). We wish David all the best in leading WDSI into the future (which is very promising indeed for Data Science) and thank Saul very much for his hard work as WDSI’s initial Director.

Wed 08 Apr 2015, 09:04

Congratulations to Nikolaos Zygouras on his promotion to Reader

Congratulations to Nikolaos Zygouras on his promotion to Reader, with effect from 1 June 2015.

Sat 07 Mar 2015, 17:07 | Tags: STEM

Royal Statistical Society accreditation of Warwick Statistics degree programmes

RSS Logo

The Department of Statistics is pleased to announce that, with effect from the 2014/15 academic year, the following degree programmes have received accreditation from the Royal Statistical Society:

  • BSc in Mathematics and Statistics
  • Integrated Masters in Mathematics and Statistics
  • BSc in MORSE
  • Integrated Masters in MORSE
  • MSc in Statistics

Full details of the conditions for accreditation can be found on the RSS Accreditation webpage.

Wed 18 Feb 2015, 16:30 | Tags: STEM

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