#hminetworks Education Investigations and GOD DAMN COMPLICATED DATA.
I swear to god. One of these days, people will work out how to produce simple, derivable data.
I’m working a lot at the moment on the Help Me Investigate Education site, and hoped to uncover some nice information.
Instead, when going through the July released DLHE statistics (destination of leavers from higher education) from HESA, I found that there were a number of occasions where numbers were confused with percentages.
BUT THAT’S A GRIPE. Not a genuine issue. What I’m focusing on at the moment is looking at unemployment rates for 09/10 by region of and institution of higher education; find out if London study produces a greater/lesser rate of employment, for example.
This information was available through the DLHE statistics but was not available in data-form (for example, only wider-english results are accessible), and I wanted to look into why, as well as which section they derived the data from, since in my calculations, and from the data on offer, I can’t see how it was possibly calculated.
I think it’s an issue of clarity; does “employed by region of HEI 2009/10” include students working abroad and studying whilst working? Why do data-sets with unemployment listed only have “assumed” categories and not derived figures?
Why are 1st degree students the only one’s considered? Why is the data so confusing, spread apart and hard to navigate?
I’m looking into it, and if anyone wants to help, let me know, or take a look at the Help Me Investigate Education site.
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Tags: DLHE, education, help me investigate, help me investigate education, help me investigate networks, HESA, higher education