Notes on:
Sullivan, A., Parsons, S., Wiggins, R., Heath, A.
& Green, F. (2014) 'Social origins, school
type and higher education destinations'.
Oxford Review of Education 40 (6): 739-63.
Doi: 10.1080/03054985.2014.979015
Dave Harris
This is based on the 1970 British Cohort Study
(BCS70) to analyze trajectories forwards.
Social origins remain as an influence.
Attending a private school is predictive of
gaining a university degree specially from an
elite university. Grammar school attendance
conveys no advantage.
The Oxford studies
examined inequality in the tripartite system, and
also examined Boudon and Bourdieu. The work
remains influential. This paper addresses
the same essential issues using different
data. These birth cohort studies have
produced a lot of work lately [summarised
740]. There is a view that the declining
grammar schooling has led to a decline in social
mobility, although early work showed that overall,
any advantages were balanced by the disadvantages
of secondary moderns. However, recent
analysis has shown that 'selective school systems
increase earnings inequality in adult
life'[Burgess, Dixon and Macmillan 2014, Working
Paper number 14-19, Department of Quantitative
Social Science --??]. School
differences have also been examined using various
cohort studies. For the 1958 cohort, 'private and
grammar school pupils achieved significantly
higher exam results at age 16 than their peers at
comprehensives, while those at secondary moderns
fared significantly worse'. Private schools
seem to be linked to an earnings advantage in
later life. However, this cohort was unusual
in that a number of changes took place in school
regimes, including raising the school leaving age,
and changing from a tripartite to comprehensive
schools.
Using the cohort for 1970 tests for an era when
the comprehensive system was well established [by
1986, they claim]. The cohort also had
changing opportunities in HE, from an age
participation index in 1978 of 14% for men and 11%
for women, to 20% and 20% respectively in
1990. Student loans were introduced in that
year, but tuition fees were much later
[1998]. In 1992, the divide between
polytechnics and universities was abolished,
although this was too late for this cohort who
were applying in 1988.
Status differentials for British universities are
still important. This might be because of
'maximally maintained inequality' [741, citing
Lucas], which says that inequalities are
maintained through status distinctions despite
expansion. Elite universities link to elite
jobs, and private schools still seem to produce
better access to them, although there is a view
that this arises simply by better exam results,
irrational discrimination by elite institutions,
poor advice from state schools, or self exclusion.
For Bourdieu, cultural resources are fundamental [Reproduction…].
However, cultural capital should not be defined
exclusively in terms of elite cultural activities,
but should include knowledge and skills.
This links with early studies on the presence of
books in the home and reading behaviour, and
reading seems particularly important.
Bourdieu has been seen as vague. Boudon
talks about primary and secondary effects,
cultural inequalities first, then different costs
and benefits affecting different educational
routes, especially at key points, and these are
primarily the result of economic
inequalities. All individuals attempt to
avoid downward social mobility, but the importance
and consequences vary according to parental
occupation. Secondary effects may be
exponential. Ethnic minority status can work
in the opposite direction, producing increased
participation by minorities at particular levels
of attainment [citing Waters, Heath, Tran, and
Bolivar 2014, in Alba and Holdaway (Eds).
The children of immigrants at school: A
comparative look at integration in the United
States and Western Europe. New York:
New York University Press].
Secondary effects have been defended by some
recent studies, but there is a methodological
problem in gaining effective data about initial
attainment, since measures are only 'weakly
differentiated'. There is a problem also
with people who leave school with no
qualifications (742), and this affects the 1970
cohort. There also some additional
difficulties in that primary stratification is
assumed to be a given, while secondary effects
reflect choices. However measured ability
itself varies over time and can be affected by
actions and investments. In the last decade,
there has also been an increased focus on the
early years, both in policy and in research
[including some on the 1970 cohort]. Some of
this shows that cognitive inequalities also emerge
early and reflect advantage. Cognitive
development itself needs to be seen as [only one?]
factor in 'individual learning
trajectories'. Current policy focusing on
early years might over estimate the affects,
however. Also, primary affects are seen as
culturally determined, and secondary effects as
economically determined, but both are likely to
interact in affecting educational decision makers,
especially if we take cultural factors to include
knowledge of the education system, or beliefs
about mobility. This interaction is a
separate dimension from the ones separating
primary and secondary. Additionally, there
is an assumption of clear branching points in
secondary careers, and this compares with 'the
relatively untidy accumulation of qualifications
during the life course' (743), and the neglect of
processes before those branching points. A
final complication is that expectations can affect
current efforts and therefore attainment.
This paper uses a life course approach, allowing
for cognitive trajectory by using cognitive scores
at a range of ages, and taking qualifications only
at the end of compulsory schooling. Social
background influences both test scores and
educational attainment. Cognitive scores can
be assumed to measure intellectual development,
but qualifications can also 'reflect such factors
as an understanding of the "rules of the game" of
doing well in particular high stakes
examinations', as well as opportunities to be
entered. These different factors can be
unpacked and their weight assessed. However,
motivation, compliance 'as well as potential
stereotype - threat (anxiety due to potential to
confirm a negative stereotype about one social
group)', also affect cognitive scores. It is
also difficult if multiple choice tests are used,
since these 'do not capture the full range of
academic competencies', and show gender
differences. There can be no attempt to
estimate 'innate intelligence' (744) from these
tests of attainment, which measure only particular
performances in particular conditions.
The first question was to estimate chances of
gaining an elite undergraduate degree and ordinary
one by the age of 42. Access to elite
universities is a new issue for longitudinal
studies. Several questions emerged - what
are the effects of early years and cognitive
scores, is type of secondary school relevant, what
are the effects of socio economic advantage
explained by secondary schools, can the influence
of schooling be captured by cognition up to 16,
and then exam performance, and is it confined to
that stage, are there effects of social origins on
degree in elite degree attainment other
factors have been controlled, and if so are
secondary effects like this is due to economic or
educational and cultural resources.
The 1970 cohort study has 17,000 people in
England, Scotland and Wales born in a single
week. It collects data on health, physical,
educational and social development, and economic
circumstances. In a series of surveys '(or
"waves")' at ages 5, 10, 16, 26, 30, 34, 38 and
42. 016, 16 instruments were deployed, but
unfortunately there was a teachers' strike or at
the time which affected completion, leading to
'substantial instrument non response', for those
tests of cognition administered at school
(744). There are therefore gaps in the
trajectory, although this [ESRC] project attempts
to repair the data by using 'previously unused
cognitive variables' (745).
First of all, missing data are identified, then
'multiple imputation' is used to suggest values,
using a technique called 'Schafer's algorithm',
which assumes randomness in missing values.
This is strengthened by including auxiliary
variables, 'to protect against departures from
multivariate normality' [these auxiliary variable
have a known distributional quality, and are
used to match the missing data, as are demographic
variables in conventional surveys?]. The
'analytical sample' of 7767 focuses on people
resident in England and Wales in 1986, with a full
set of birth characteristics, and who had provided
information about degree and school type.
Scots members had different qualifications.
Further attempts to address missing date or
involved replication, 20 times, using 'Rubin's
Rule' which apparently helps you gauge the
efficiency of estimation.
The dependent variable is degree attainment, in
three categories - no degree, degree, elite
degree, based on a question asked when respondents
were 42. Elite status was judged on the
basis for the institution attended --membership of
the Russell Group. This is acknowledged to
be arbitrary to some extent. They considered
taking only Oxbridge, but this led to insufficient
numbers. Polytechnic degrees were rated as
ordinary.
'Multinomial logistic regression'calculates the
log odds of falling into particular categories
'for various linear combinations of our
explanatory or predictor variables'. Because
this is a longitudinal survey, a series of models
can be produced to assess attainment at ages 5,
10, and 16 sequentially. Luckily, the cohort
surveys are 'particularly rich in measures of
cognition', a series of cognitive tests.
Results from these tests are then turn into 'a
single main component score' using 'varimax
Principal Components Analysis', and reliability is
assessed using Cronbach's Alpha.
Six models were produced 'which captured distinct
stages of the life course in cumulative
manner'. Model 1 starts with characteristics
of birth as well as indicators of economic
cultural and parental educational
background. Cultural resources 'reflect the
importance of books and reading'[748 -- they went
round and counted number of books per household,
as in the classic studies?]. Model 2 thirds
cognitive scores at age five. Model 3 adds
cognitive scores of age 10. Model 4 include
secondary school type. Model 5 includes
cognitive scores and scores for attainment in
public examinations at age 16 [these are scores
based on usual calculation of points, it
seems]. Model 6 includes post compulsory
academic qualifications.
In model 1, birth characteristics included sex,
birthweight, position in birth order, age of
mother at first birth - all these are apparently
predictors of educational chances. Ethnicity
was not a category, because so few in the sample
were from ethnic minorities, and the same goes for
single parents status at birth. Educational
and cultural resources included parents highest
qualification, mothers or fathers, frequency of
readings of the child, according to
mothers'estimates, newspapers in the home, divided
into tabloid, broadsheet, both, or had none, which
assumes that 'the prose style of tabloids were
simpler and geared towards the lower reading age
and smaller vocabulary' [I am not at all sure this
is reliable]. Newspaper reading was a
'strong cultural identifier' in the 1980s, and is
assumed to be 'a stable characteristic' for the
preceding years [it was only gathered at age
16]. Economic resources included
occupational social class, on the only available
RG scale. The highest occupation was chosen
based on either mother or father, current almost
recent job. Non working mothers were grouped
with the same category as working fathers assuming
that this was the only information available - the
authors tell us that 'this is a small
group'(749). They also examined home
ownership, and overcrowding, measured by 'the
ratio of people in the household per room'
assuming that more than one person per room is
overcrowded.
In model two, aged five, cognition was added,
based on results from five tests - copying
designs, English picture vocabulary, human figure
drawing, complete a profile, and Schonell graded
reading. In model three, aged 10 there were
a further eight cognitive tests -Edinburgh Reading
Test, pictorial language comprehension test,
friendly maths test, spelling, British ability
scale, two verbal sub scales (word definitions and
word similarities, and two non verbal sub scales,
(digit recall and matrices). Model four
included school type results from a questionnaire
addressed to head teachers, a schools census, and
a retrospective question asked in 2012.
Missing data was dealt with by using one or other
of these surveys. Model five, in 1986,
included nine cognitive tests, although the
results of only two (spelling and vocabulary) were
deposited in the archives at the time, 'due to
lack of funds'. Arithmetic tests were added
later, and in this study, the data from the six
remaining ones have been added, for the first
time. Examination results of age 16 produced
a total points score (O level grade A got seven
points, down to grade E that got three, CSE grade
one is seen as equivalent to O level grade C,
receiving five points and so on, down to grade six
CSC which got one. Possession of either
maths or English O level grades A to C, or CSE
grade one received an extra binary weighting.
Model six added A level qualifications, taken at
age 18, although they included data up to age 20
to allow for retakes. Categories range from
three or more A to C, one or two A-C, lower
grades, none. The authors note that these
qualifications 'have been subject to substantial
grade inflation since the abolition of norm -
referenced marking in the 1990s, and that 'it was
still possible [then] to get a place at a Russell
Group university with C and B grades at A level'
(750).
The first level of analysis offers descriptive
information for the variables, by school
type. 'A clear hierarchy of schools
emerges', based on both socio economic background,
cognition and qualifications [of students].
Private schools are at the top, then grammars,
then comprehensives, and finally secondary
moderns. As examples, '52% of privately
educated cohort members have at least one graduate
parent, compared with 31% of grammar pupils, 14%
of those who attended comprehensives, and 8% at
secondary moderns'.
16% of the
sample got ordinary degrees, and 7% elite ones,
and again school type was important - 31% of
privately educated pupils got an elite degree,
13% of grammar, 5% of comprehensive, 2% of
secondary modern [that last 2% must have been an
extremely interesting group!]. All the
cognitive and educational measures were
correlated to produce a matrix.
Correlations vary between 0.28 [cognition
aged five and A levels], and 0.68
[cognition at 10 and at 16]. Another table
(753 below) shows 'multinomial logistic
regressions predicting the odds of achieving an
elite degree or an ordinary degree compared to
no degree by age 42' (751)
In model
one, there was no significant difference between
male and female members, birth weight was not
significant, older mothers did seem to be able
to convey an advantage, but birth order did
not. Parental education 'is highly
significant', however, and having a graduate
parent gave you three times better odds of
gaining a degree compared to those with parents
with no qualifications (5.5 times better odds of
gaining an elite degree). Having tabloid
newspapers compared with having no newspapers at
all lowers the relative odds [!!] , but having
broadsheet newspapers raises them, the more so
for elite degrees. Frequency of reading by
parents is 'highly significant', again with a
premium when it comes to elite degrees.
However, only the top social classes were
significantly link to elite degree chances,
and 'social class was not a significant
predictor of getting a non elite degree'.
Home ownership raises the relative odds,
overcrowding reduces it.
In model two, cognition at age five 'is
powerfully linked to the relative odds of
gaining an ordinary degree', more so with elite
degrees [an odd way of calculating odds here 'a
single standard deviation increase in the score
translates into 1.6 times the odds of a degree
and 1.9 times the odds an elite degree over not
gaining a degree']. Early cognition
scorers seem to mediate partially the influence
of birth characteristics and home
background. 'Social class becomes non
significant in this model', although the
specific variables measuring cultural,
educational resources and economic resources
'remain substantial and significant
overall'. The effect of having a graduate
parent is 'reduced slightly'
Model three shows that cognition at age 10 is
more 'powerfully predictive of higher education
chances than cognition at five'(755).
Cognition of both ages now reduces the advantage
produced by reading to insignificance.
Model four shows that private schooling, with 5%
of the sample attending, produces 1.7 times the
odds of gaining an ordinary degree, and three
times or more the odds for an elite degree
compared to comprehensive pupils 'with similar
backgrounds and cognitive attainment'.
Grammar schools had no effect, and nor did any
disadvantage of attending a secondary modern
school. Differences in home resources are
only modestly moderated by school type including
private schools, however. Interactions
between school type, cognition at 10, apparent
social class, and parents education were
designed to see if school types interacted with
different characteristics - for example, did
grammar school attendance help specifically
working class pupils who attended them.
There were no statistically significant
interactions overall.
Model five includes cognition tests at 16 and
exam performance. Cognition, A level
scores, maths and English O level grades 'are
all independently linked to degree chances' in
achieving. O level maths improved the odds of an
elite degree 'strongly'. Cognition at aged
10 'remains powerfully significant', but this
could be due to measurement error. The
advantages of private school attendance 'is only
modestly attenuated': school type and age 16
attainment do not interact. Social origins
show secondary affects in this model. Only
home ownership confers an advantage.
Broadsheet newspapers become insignificant,
although tabloid newspapers still reduce the
odds of degree and elite degree. Parental
education remains 'highly significant, though
reduced' (756) -having a graduate parent
multiplies the odds of gaining a degree by 1.7,
and an elite degree by 2.5. This cultural
secondary effect is greater than the effect of
home ownership for elite degrees, probably due
to greater knowledge of the system and of its
status differentials.
Model six introduces exam performance, helping
to explain any differences because of different
rates of staying on and performance in FE.
Patterns of results remained 'broadly similar',
however, and those with the same A levels
results varied according to parental
qualification. Private school members also
had increased odds - 1.4 for a degree, 2.5 for
an elite degree - compared to comprehensive
students with the same A levels. This is
'clearly non meritocratic', because the
differences persist across a range of conditions
for cognition and exam results.
Overall, despite some advantages, limitations
include not accounting sufficiently for
diversity within school sectors, not looking at
the interaction between gender and different
school types, including the role of single sex
schools: these are to be addressed in future
papers.
It seems that social inequalities in access to
HE are mediated by early cognitive scores, 'but
far from fully'. Scores at age 10
leaves differentials supplied by parental
education and home ownership. However,
'early cognitive differentials are very
important and have far reaching effects' (757),
and independently predict degree chances even
allowing for subsequent attainment, but again
this is not a full accounting. The
emphasis on early years is important, but 'there
is a risk that this can be exaggerated'.
School type is linked to the chances of gaining
a degree and elite degree, cognition
characteristics and resources having been
controlled. Private schooling conveys 'a
powerful advantage', especially in gaining an
elite degree, although 'this advantage is not
necessarily causal', because there are likely to
be 'unobserved differences between parents who
send their child to a private school…
motivation and ambition… differences in
political outlook linked to attitudes towards
"getting on"'. Grammar schooling was not
linked to any significant advantage,
'surprisingly', although they might have made a
difference to attainment within compulsory
schooling, at O level, for example.
However, 'this did not follow through to
university chances', producing a '"leaky pipe"'
between grammar school and university
entrance. The answer might lie in
characteristics of schools in detail, including
the degree of academic selectivity - some
grammar schools were 'no longer highly
selective'. Overall, they seemed to
provide no special benefit for working class
pupils HE chances.
Social background differentials were also
mediated by different types of school,
'slightly' by secondary school type, despite the
other advantages associated with private
schooling. No significant interactions
were found to moderate school differentials with
pupils' social class, parents' education and
prior cognitive attainment.
Comparing cognition and qualifications, shows
that private school advantage is 'only very
slightly reduced' by subsequent attainment at
16, implying that private schooling provides
'post- 16 factors'. These might include
the level of aspiration of parents and schools,
and links between universities and private
schools, especially for the elite universities
and 'a small number of elite private schools'
(758). Again this is to be
investigated. There is no analysis for
meritocratic views, that the privately educated
represent some concentrated pool of talent,
since it looks as if state educated pupils
outperform privately educated ones once at
university.
Secondary effects on degree chances can be
examined by controlling for cognition throughout
childhood and attainment at 16. There is
'a significant robust association with home
ownership, and especially with parental
education': the latter gives advantages
especially in the case of gaining an elite
degree. Social class itself [occupation
and economic resources] seem to have 'no
significant secondary affect', challenging
Boudon's view. Parental educational status
'is the largest source of secondary effects'
Overall, increasing access to HE while ignoring
status differentials 'will tend to lead to an
underestimation of social inequalities in
access', more so for the current generation than
it was for the 1970 generation, 'given the great
expansion...and increased diversity of
universities and courses since 1992'. A
2013 study shows that pupils from lower class
backgrounds applied to Russell Group
institutions less frequently than those with
similar qualifications from higher class
backgrounds. The same goes for comparing
state and private schools, and the former 'are
less likely to apply then to be awarded a place
if they do apply'
Overall, 'being bright is not necessarily
enough' []very very bright is, is my guess, but
with diminishing returns - -like the Douglas study found
years ago]. Social advantage in terms of origins
and private schooling raises the chances 'of
gaining a degree, especially an elite degree,
beyond cognitive and examination
attainment'. Such 'non meritocratic
processes have important repercussions',
including 'the domination of Britain's ruling
class by graduates of private schools and elite
universities'.
back to more social mobility studies in 'files'
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