I’ve been doing some work exploring the NOMIS Labour Market statistics website. It’s a fascinating resource which I was using in relation to employment rates for young people in East Lothian. However, as I began to dig into the site I became more and more intrigued by the data and how it can be manipulated.
This got me thinking about the relationship between socio-economic factors and school attainment.
Using an excel spreadsheet I explored the correlation between some of these factors and the % S5 students gaining 3+ highers in a Local Authority.
The spreadsheet can be accessed here: Correlations – SQA and NOMIS
So what did I find out?
I reckon it’s possible to predict the % of students in any authority using only three indicators. % of population in socio-economic groups 1-3; % of population with more than 2 Highers (NVQ level 3); and the % of population in receipt of benefits (strong negative correlation). It gets even more relaible if you also use the % of population who have a NVQ level 4 (HND or degree), and Gross pay. Interestingly employment rates do not have an impact.
There are one or two anomalies – mainly due to high levels of private school enrolment in some authorities – but in the main the predictors are reliable , with the exception of one island authority.
Please give it a go and get back to me with comments. I’ll be doing further work on this over the break.
Correlation between 3+ highers and | ||
Socio-ec – 1 -3 | 0.71 | Strong positive |
Socio-ec – 4 – 5 | -0.25 | Moderate negative |
Socio-ec – 6 – 7 | -0.63 | Strong negative |
Socio-ec – 8 – 9 | -0.55 | Strong negative |
NVQ 4 | 0.64 | Strong positive |
NVQ 3 | 0.83 | Strong positive |
Employment | 0.22 | Weak positive |
Gross Pay | 0.64 | Strong positive |
Public service | -0.05 | None |
Banking and Finance | -0.02 | None |
Benefits | -0.60 | Strong negative |