How useful are official statistics for understanding differences in educational achievement by social class, gender and ethnicity?
How do GCSE results vary by social class, gender and ethnicity?
The data below is taken from either the Department for Education’s document – Key Stage 4 performance 2019 (Revised), or Gov.uk ‘ethnicity facts and figures‘. The later shows data from 2017/18 (at time of writing this), but it is much more accessible than the ‘Key Stage 4 document’.
Firstly – GENDER – Girls outperformed boys in all headline measures in 2019.
For example 46.6% of girls achieved both English and Maths at grade 5 or above, compared to only 40.0% of boys, and girls are much more likley to be entered for the Ebacc than boys (45.9% compared to 34.3%
Secondly – ETHNICITY – Chinese pupils are the highest achieving group. 75.3% of Chinese pupils achieved a ‘strong pass’ (grade 5 or above) in English and Maths, with Indian pupils being the second highest achieving group, at 62%
Black Caribbean pupils have the lowest achievement of any ‘large’ ethnic minority group, with only 26.9% achieving a grade 5 or above in English and Maths
Gypsy/ Roma and Irish Traveller pupils have the lowest levels of achievement with only 9.95 and 5.3% respectively achieving a strong pass in English and Maths.
Thirdly – SOCIAL CLASS – Here, instead of social class we need to use the Department for Education’s ‘disadvantaged pupils’ category, which is the closest we’ve got as a proxy for social class, but isn’t quite the same!
The DFE says that “Pupils are defined as disadvantaged if they are known to have been eligible for free school meals in the past six years , if they are recorded as having been looked after for at least one day or if they are recorded as having been adopted from care”.
In 2019, only 24.7% of disadvantages pupils achieved English and Maths GCSE at grade 5 or above, compared to almost 50% of all other pupils, meaning disadvantaged pupils are only half as likely to get both of these two crucial GCSEs.
Some Strengths of Official Statistics on Educational Achievement by Pupil Characteristic
ONE – Good Validity (as far as it goes) – These data aren’t collected by the schools themselves – so they’re not a complete work of fiction, they are based on external examinations or coursework which is independently verified, so we should be getting a reasonably true representation of actual achievement levels. HOWEVER, we need to be cautious about this.
TWO – Excellent representativeness – We are getting information on practically every pupil in the country, even the ones who fail!
THREE – They allow for easy comparisons by social class, gender and ethnicity. These data allow us to see some pretty interesting trends – As in the table below – the difference between poor Chinese girls and poor white boys stands out a mile… (so you learn straight away that it’s not just poverty that’s responsible for educational underachievement)
FOUR – These are freely available to anyone with an internet connection
FIVE – They allow the government to track educational achievement and develop social policies to target the groups who are the most likely to underachieve – These data show us (once you look at it all together) for example, that the biggest problem of underachievement is with white, FSM boys.
Some Disadvantages of the Department for Education’s Stats on Educational Achievement
ONE – If you look again at the DFE’s Key Stage four statistics, you’ll probably notice that it’s quite bewildering – there are so many different measurements that it obscures the headline data of ‘who achieved those two crucial GCSEs’.
When it comes to the ‘Attainment 8’ or ‘Progress 8’ scores, it is especially unclear what this means to anyone other than a professional teacher – all you get is a number, which means nothing to non professionals.
TWO – changes to the way results are reported mean it’s difficult to make comparisons over time. If you go back to 2015 then the standard was to achieve 5 good GCSEs in any subject, now the government is just focusing on English and Maths, Ebacc entry and attainment 8.
THREE – These stats don’t actually tell us about the relationship between social class background and educational attainment. Rather than recording data using a sociological conception of social class, the government uses the limited definition of Free School Meal eligibility – which is just an indicator of material deprivation rather than social class in its fuller sense. Marxist sociologists would argue that this is ideological – the government simply isn’t interested in measuring the effects of social class on achievement – and if you don’t measure it the problem kind of disappears.
FOUR – and this is almost certainly the biggest limitation – these stats don’t actually tell us anything about ‘WHY THESE VARIATIONS EXIST’ – Of course they allow us to formulate hypotheses – but (at least if we’re being objective’) we don’t get to see why FSM children are twice as likely to do badly in school… we need to do further research to figure this out.
No doubt there are further strengths and limitations, but this is something for you to be going on with at least…