OUseful.Info, the blog…

Trying to find useful things to do with emerging technologies in open education

Does Funding Equal Happiness in Higher Education?

[The service used to create the visualisations mentioned in this post has been closed down. To search over recent (2013 intake) Guardian HE data, see this: Guardian Student Rankings]

With the announcement of the amount of funding awarded to UK Higher Education institutions from HEFCE, the government funding body, several people posted me links to the data wondering what I might do with it. I saw this as a good opportunity to do something I’ve been meaning to do for ages, specifically have another look at how to provide a view of a range of HE related datasets around particular institutions. So for example, if you ever wondered whether or not there is a relationship between the drop out rate from a university and a surveyed average teaching score, you should be able to look it up:

Since its launch, one of the more actively maintained areas of the Guardian datastore has been the education area. A quick skim over HE related data turns up at least the following:

In a follow on post, I’ll show how to pull this data together, but for now, let’s look at some of the possibilities of pulling data in from these separate sheets around an HEI. As a proof of concept, I grabbed the following data and popped it into Many Eyes Wikified:

(I need to add provenance info to the wiki, but didn’t in this instance because I don’t want the data to be referenced or trusted… I still need to check everything is working properly… (so I guess I should have used dummy HEI names… hmm…)

The data is pulled from four separate sheets and aggregated around HEI name. The “Percentage no longer in HE” comes from the datastore Dropout spreadsheet, the “Total staff earning ..” etc column is from the Pay spreadsheet, the “Average Teaching” to “Student to Staff Ratio” columns come from the 2009-10 university tables spreadsheet, and the “Teaching funding” to “Funding change” columns from the most recent (2010-11) funding spreadsheet.

I’ve posted a couple of interactive visualisations on to Many Eyes WIkified so you can have a play with the numbers (but don’t trust them or quote them unless you fact check them first…;-)

The first is a Scatter Chart, which gives us three dimensions to play with – x, y, and dot size.

So for example, in the chart shown above, we see that lower teaching scores seem to correlate with higher drop out rates. In the chart below, we seed how teaching scores relate to the expenditure per student and the student staff ratio (and how expenditure per student and student staff ratio relate to each other):

Is satisfaction rewarded with funding, or is funding to improve matters?

The other chart type I produced is a bar chart. These are less interesting, but heavily used…

I assume that university strategy and planning units worry over this sort of combined data all the time (but I’m not sure how they: obtain it, combine it, represent it, report it, use it? Maybe if an HE planner is reading they could post a comment or two to describe what data they use, how they use it and what they use it for…?;-) Anyway, it’s getting close to a stage now where the rest of us can play along too…;-)

Written by Tony Hirst

March 20, 2010 at 11:18 am

Posted in Data, Visualisation

Tagged with ,

10 Responses

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  1. Looks like some strong trends are visible there – but also the extent to which dropout is not (always) correlated to teaching scores. What major differences are there between Durham, Lancaster and Leicester for example? Very different dropout scores, very similar teaching scores.
    Is there any source of data on the financial/social background of students entering the universities?

    Daniel Livingstone

    March 21, 2010 at 8:09 pm

  2. [...] UK Higher Education Data Published March 23, 2010 Data Leave a Comment In Does Funding Equal Happiness in Higher Education?, I described a couple of interactive visualisations that are built up around a dataset that pools [...]

  3. [...] HE related data in its datastore, some of which I’ve even played with before… e.g. Does Funding Equal Happiness in Higher Education? (though there have been one or two, err, niggles with the data… in previous spreadsheets;-) [...]

  4. [...] chart research ratings against student satisfaction, or drop out rates against the academic pay. [link [...]

  5. [...] A lot of this data is already available as public data from original sources, or via curated datastores such as the Guardian Datablog. What is lacking at the current time is the scaffolding that lets us create resources capabale of spanning the sector at qualification level. Some time ago, I described a simple visual application for comparing summary statistics relating to satisfaction, fees, salary levels and so on across UK universities (Does Funding Equal Happiness in Higher Education?). [...]

  6. While I agree teaching is a very important function of a university, it is not the ONLY function of a university. The correlation between drop out rate and student satisfaction/teaching score shows a link but not a cause. There are likely to be many factors involved here, do universities with lower teaching scores accept students which are not able cope with university life in order to get bums on seats? After all funding is based on the students who attend, not quality of teaching or research.

    Lucas

    October 4, 2011 at 2:43 pm

  7. The wiki linked to seems to be down :-(

    Chris Rusbridge

    December 7, 2011 at 4:13 pm

    • @chris Many Eyes Wikified is no more; IBM took it down as a service quite a long time ago now…

      Tony Hirst

      December 7, 2011 at 9:18 pm

  8. [...] via Does Funding Equal Happiness in Higher Education? « OUseful.Info, the blog…. Share this:EmailDiggRedditFacebookPrintStumbleUponTwitterLike this:LikeBe the first to like this. [...]

  9. [...] a post from way back when – Does Funding Equal Happiness in Higher Education? – that I still get daily traffic to, though the IBM Many Eyes Wikified hack described in it [...]


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