SEND Trends and the Academisation Effect - Presentation at ... ·...
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SEND Trends and the Academisation EffectPresentation at NPD User Group Meeting, London
Alison Black, Yi Liu, Alexey Bessudnov, Brahm Norwich20 October 2017
University of Exeter
Background of the study
Background on academisation in England
• Establishment of Academies and Free schools• Existing schools encouraged to convert to Academies and be
self-governing (converter type of Academies).• Existing schools required to convert because of poor performance
to become an Academy under the control of a sponsor (sponsoredtype of Academies).
• New schools set up under the initiative of parents, voluntaryorganisations or religious groups (free schools).
• All have more autonomy than maintained schools (organisation,curriculum and staffing) though they are not permitted toformally select pupils by attainment / abilities.
• Maintained schools (under control of Local Authority) still exist.
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Breakdown of Schools by classifications
Type Year Primary Secondary State Special PRU / AP Total
Maintained schools2011 16800 2911 956 425 210922014 14961 1426 842 333 175622017 13009 1070 728 236 15043
Sponsored Academies2011 0 255 0 0 2552014 500 454 11 0 9652017 1069 601 38 15 1723
Converter Academies2011 35 98 0 0 1332014 1186 1276 89 16 25672017 2514 1455 171 43 4183
Free schools2011 0 0 0 0 02014 53 68 8 18 1472017 118 137 23 34 312
Total2011 16385 3264 956 425 210302014 16700 3224 950 367 212412017 16710 3263 960 328 21261
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Background on SEND and policy change
• All pupils with a Statement of SEN or EHC Plan have to beadmitted to an Academy if the school is named in the Statementor Plan (DfE, 2014).
• Proportion of all pupils with significant SEN in English specialschools:
• Decrease from early 1980s to early 2000s (Norwich, 2002).• 2000 - 2006 more or less unchanged.• Since 2006 has started to increase, for the first time in 30 years
(Black and Norwich, 2014; Ofsted, 2016).
• New Education Act and Code of Practice (DfE, 2014) changedidentification processes regarding classification of SEN
• Pupils with most severe SEN (Statements before 2014;Educational, Health, Care (EHC) Plans after).
• Pupils identified with SEN at less severe level (School Action andSchool Action plus before 2014; SEN support after).
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Background on SEND and policy change
• Different percentages of pupils with significant SEN betweenacademies and maintained English secondary schools (Norwichand Black, 2015)
• Converter Academies (the most autonomous of the types) had thelowest percentage of pupils with Statements of SEN,
• Sponsored Academies (required to convert and governed byoutside sponsor) had the highest percentage of Statements,
• Maintained schools (remaining as local authority schools) hadpercentages between these levels.
• Anecdotal evidence of Academies being more unwilling to offerplaces to pupils with significant SENs, deploying covert selection(IPPR, 2014).
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Data sources
• “National statistics on specialeducational needs in England”
• https://www.gov.uk/
government/collections/
statistics-special-educational-needs-sen
• Underlying data file for eachyear (2011 – 2017)
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Variables of interest
• School level data
• Number of pupils with statements / EHC Plans
• Number of children on SEN support
• Type of schools
• Date of conversion (if applicable)
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Descriptive statistics andstatistical analysis
Academisation and SEN – overall trends
88%84%
79%74%
71%68%
64%
1.1% 1.3% 2.4%4% 5% 6% 7%
0.6%
5%8%
11%13%
14%17%
0.3% 0.8% 1.2% 1.5% 1.7%
10% 10% 10% 10% 10% 10% 10%
Others
Maintained schools
2011 2012 2013 2014 2015 2016 2017
65%
70%
75%
80%
85%
0%
5%
10%
15%
Year
Per
cent
a a a a aMaintained School Sponsored Academy Converter Academy Free School Others
Schools
17.79%16.99%
15.95%15.14%
12.62%11.60% 11.55%
2.71%2.73%
2.81% 2.82%2.83%
2.80%2.82%
Statement EHC Plan
SEN Support
2011 2012 2013 2014 2015 2016 2017
12%
14%
16%
18%
2.75%
2.80%
Year
Per
cent
a aSEN Support Statement EHC Plan
SEN variables
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Academisation of schools
100% 98% 94%90% 86% 82%
78%
0.1% 1.1% 3.0% 4% 5% 6%0.2% 2.0% 5% 7% 9% 12% 15%
0.1% 0.3% 0.5% 0.6% 0.7%0%
25%
50%
75%
100%
2011 2012 2013 2014 2015 2016 2017
Year
Per
cent
a a
a a
Maintained Primary Primary Sponsored
Primary Converter Primary Free School
Primary Mainstream Schools
89%
65%
51%44%
40% 36%33%
8% 10% 12% 14% 16% 17% 18%
3.0%
25%
36% 40% 41% 43% 45%
0.8% 2.1% 3.3% 3.8% 4%0%
25%
50%
75%
2011 2012 2013 2014 2015 2016 2017
Year
Per
cent
a a
a a
Maintained Secondary Secondary Sponsored
Secondary Converter Secondary Free School
Secondary Mainstream Schools
99% 97%92%
88%84%
80%75%
0.4% 1.1% 2.2% 2.9% 3.9%1.7%
6%9% 11%
14%18%
0.3% 0.8% 1.4% 2.0% 2.4%1.3% 1.2% 1.2% 1.1% 1.1% 1.0% 0.9%
Others
Maintained schools
2011 2012 2013 2014 2015 2016 2017
75%80%85%90%95%
0%
5%
10%
15%
Year
Per
cent
a a
a a
a
Maintained Special Academy Sponsored Special
Special Converter Free Schools Special
General Hospital
State Special Schools
100% 100% 98%91%
84%78%
72%
1.4%3.7% 5%
0.2%4%
7%9%
13%
1.3%5%
8% 9% 10%
Others
Maintained schools
2011 2012 2013 2014 2015 2016 2017
80%
90%
100%
0%
5%
10%
Year
Per
cent
a
a
a
a
Pupil Referral Unit
Academy Alternative Provision Sponsor Led
Academy Alternative Provision Converter
Free Schools − Alternative Provision
Pupil Referral Units
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SEN support
18%18%17%
24%
16% 16%
22%
15%15% 15%
19%
14%
12%13%
15%
12%11%
12%
14%
11%12% 12%
14%
12%
10%
Primary
2011 2012 2013 2014 2015 2016 2017
10%
15%
20%
25%
Year
Per
cent
a a
a a
Maintained Primary Primary Sponsored
Primary Converter Primary Free School
SEN Support, Primary Mainstream Schools
19%
26%
15%
19%
24%
15%
18%
22%
15%
23%
17%
20%
14%
18%
13%
15%
11%
15%
12%
14%
10%
12%11%
13%
9%
11%
Secondary
2011 2012 2013 2014 2015 2016 2017
10%
15%
20%
25%
Year
Per
cent
a a
a a
Maintained Secondary Secondary Sponsored
Secondary Converter Secondary Free School
SEN Support, Secondary Mainstream Schools
1.9%
34%
2.1%0.5%
37%
2.3%1.1%0.8%1.2%
32%
1.9%1.1%2.9%0.5%
44%
2.0%0.6%2.8%0.2%
43%
2.2%1.7%2.5%1.2%
43%
2.1%2.1%2.5%1.1%
47%
0%
10%
20%
30%
40%
2011 2012 2013 2014 2015 2016 2017
Year
Per
cent
a a
a a
a
Maintained Special Academy Sponsored Special
Special Converter Free Schools Special
General Hospital
SEN Support, State Special Schools
64%68% 69%
81%
62%
67%
81%
51%
70%
88%
74%
52%
67%67%70%
47%
67%71%68%
52%50%
60%
70%
80%
90%
2011 2012 2013 2014 2015 2016 2017
Year
Per
cent
a
a
a
a
Pupil Referral Unit
Academy Alternative Provision Sponsor Led
Academy Alternative Provision Converter
Free Schools − Alternative Provision
SEN Support, Pupil Referral Units
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Academisation and SEN support – regional breakdown
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Statistical approach – propensity-score matching
First, from the sample (2011 - 2017) of never-academised schools andpredecessor schools, we select four subsamples: primary schools,secondary schools, state special schools, and pupil referral units.
And for the following academisation treatment policies:
1. Conversion to a sponsored academy or a converter academy(general effect);
2. Conversion to a sponsored academy;
3. Conversion to a converter academy,
we construct their respective balanced sample usingpropensity-score matching, with these baseline (2011) covariates:total pupils, local authority, SEN support proportion, SEN statementEHC plan proportion.
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Statistical approach – regression model
We then estimate the following regression model with fixed effects:
Yit = δAit + γi + λt + ϵit
i = 1, . . . ,N;t = 2012, . . . ,2017
• Yit: Percentage of pupils with SEN support SEN SupportTotal Pupils × 100;
• Ait ∈ {0,1}: = 1 when school i has received the academisationtreatment at time t;
• δ: δ% change to pupils with SEN support associated withacademisation;
• Whole sample: δ̂ = E(y1it)− E(y0
it)
• PSM sample: δ̂ = E(y1it|Ait = 1)− E(y0
it|Ait = 1)• γi, λt: Individual idiosyncratc effects and time effects.
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Effect of academisation on SEN
Sample Treatmentδ
Matched sample Whole sample
Main primary
General Academy-0.562 *** -0.991 ***(0.113) (0.106)
Sponsored Academy-0.314 -1.862 ***(0.234) (0.207)
Converter Academy-0.623 *** -0.635 ***(0.125) (0.119)
Main secondary
General Academy-0.256 -0.877 ***(0.281) (0.235)
Sponsored Academy-1.177 ** -2.176 ***(0.532) (0.484)
Converter Academy0.232 -0.229(0.283) (0.249)
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Effect of academisation on SEN
Sample Treatmentδ
Matched sample Whole sample
State special
General Academy-0.043 0.484 *(0.309) (0.265)
Sponsored Academy1.708 *** 0.951 **(0.564) (0.407)
Converter Academy-0.106 0.398(0.347) (0.302)
PRU
General Academy0.986 -7.517 **(9.853) (3.331)
Sponsored Academy-20.680 ** -6.526(9.869) (5.286)
Converter Academy-24.170 * -8.074 **(13.530) (4.026)
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What we found so far
Effect of academisation on SEN support:
• Effect sizes are small in magnitude;• Effects vary by school types.
We do not make claims on causal relationships, because:
• We need to control for more confounding factors;• We need to understand more about the underlying mechanisms.
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Conclusions
Conclusions and next steps
• We see some academisation effect, however ...
• Need to engage with many other variables that might havecausal effects, which is why we are engaging with pupil leveldata in the NPD.
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Thank you for your attention!
• Alison Black ([email protected])• Yi Liu ([email protected])• Alexey Bessudnov([email protected])
• Brahm Norwich ([email protected])
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References i
References
Black, Alison and Brahm Norwich (2014), Contrasting Responses toDiversity: School Placement Trends 2007-2013 for All LocalAuthorities in England, Centre for Studies on Inclusive Education.
DfE (2014), Special educational needs and disability code of practice:0 to 25 years: Statutory guidance for organisations who work withand support children and young people with special educationalneeds and disabilities., Department of Education.
IPPR (2014), Whole System Reform: England’s Schools and the MiddleTier, Institute for Public Policy Research.
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References ii
Norwich, Brahm (2002), LEA Inclusion Trends in England, 1997-2001:Statistics on Special School Placements & Pupils with Statements inSpecial Schools., Centre for studies on inclusive education.
Norwich, Brahm and Alison Black (2015), ‘The placement ofsecondary school students with statements of special educationalneeds in the more diversified system of English secondaryschooling’, British Journal of Special Education 42(2), 128–151.
Ofsted (2016), The Annual Report of HM Chief Inspector of Education,2015-2016, Ofsted.
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Appendix: SEN Statement EHC plans
1.3%
1.1%
1.3%
0.9%
1.2%
1.4%
1.6%
1.3%
0.9%
1.4%
1.6%
1.4%
0.5%
1.4%
1.6%
1.4%
0.8%
1.4%
1.5%
1.3%
0.8%
1.4%1.4%1.3%
1.2%
Primary
2011 2012 2013 2014 2015 2016 2017
0.8%
1.2%
1.6%
Year
Per
cent
a a
a a
Maintained Primary Primary Sponsored
Primary Converter Primary Free School
Statement EHC Plans, Primary Mainstream Schools
1.9%
2.2%
1.5%
2.0%
2.1%
1.7%
2.0%2.0%
1.8%
1.3%
2.0%2.0%
1.7%
1.6%
1.9%2.0%
1.7%1.7%
1.8%
2.0%
1.6%1.6%
1.8%1.9%
1.6%1.6%
Secondary
2011 2012 2013 2014 2015 2016 2017
1.50%
1.75%
2.00%
Year
Per
cent
a a
a a
Maintained Secondary Secondary Sponsored
Secondary Converter Secondary Free School
Statement EHC Plans, Secondary Mainstream Schools
97%
13%
97%99%
14%
98%96%98%94%
16%
98%99%96%100%
10%
98%100%96%100%
11%
97%99%97%98%
15%
97%98%97%99%
12%
25%
50%
75%
100%
2011 2012 2013 2014 2015 2016 2017
Year
Per
cent
a a
a a
a
Maintained Special Academy Sponsored Special
Special Converter Free Schools Special
General Hospital
Statement EHC Plans, State Special Schools
12% 12%
13%
17%
3.9%
12%12%
5%
12%
10%
14%
8%
10%9%
13%
7%
10%10%
14%
6%
4%
8%
12%
16%
2011 2012 2013 2014 2015 2016 2017
Year
Per
cent
a
a
a
a
Pupil Referral Unit
Academy Alternative Provision Sponsor Led
Academy Alternative Provision Converter
Free Schools − Alternative Provision
Statement EHC Plans, Pupil Referral Units
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