Session Information
Contribution
Description: The use of free school meal data is prevalent in official estimates of
educational disadvantage as it is in educational research reports in
Britain. However, while there has been some concern expressed about the
measure, there has, to our knowledge, been no systematic test of its
appropriateness. The appropriateness of a measure will always depend
upon the questions being asked so we are not suggesting the measure
will always and everywhere be inappropriate. But we do think there is
an issue worthy of debate relating to the kinds of questions that
research seeks to address. The paper will begin by outlining the kinds
of educational research that uses this measure, with some discussion of
the conditions under which it may be considered appropriate and those
where its relevance needs to be tested. In particular, judgements about
school performance that use this measure may be criticised on two
grounds. The first and more widely acknowledged, concerns the
approximate nature of FSM eligibility as a measure of social
deprivation. The second concerns the possibility that the population of
those on FSMs is highly unstable and that any calculation or judgement
is likely, therefore, to be an underestimate of the real disadvantage
that a school confronts. It is with this latter possibility that this
paper is concerned. For example, if the pool of students who take up
FSMs over a given period is larger than those counted at a specific
time then the proportion of disadvantaged in a school will be higher
than acknowledged. In order to understand why this measure may
problematic some background in terms of the nature of the flexible
labour market in Britain and the distribution of welfare benefits
related to it is necessary since both impact on the nature of child
poverty of which FSM is assumed to be a reliable indicator. The paper
estimates the proportion of children who have taken up FSMs over time
using data from Hampshire schools and models the revised estimates in
order to assess their impact on school outcomes.
Methodology: Quantitative
Conclusions: That there is considerable variability over time in those who take up
FSMs with the consequence that the proportion of disadvantaged students
in a school is likely to be underestimated.
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