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Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant [email protected]. ac.uk

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Page 1: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

Running a School on Data: the role of Value-Added Data

Course: Using CEM data in Practice

Day 2 Session 4

Wed 30th May 2012

Peter Hendry: CEM Consultant

[email protected]

Page 2: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

CASE STUDY : MidYIS Year 7 to GCSE Raw Residuals

Comments?

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Short Course Welsh

Short Course Physical Education

Welsh

Sociology

Science

Religious Studies

Physical Education

Music

Mathematics

Home Economics

History

German

Geography

French

English Literature

English

Drama

Design & Technology

Business Studies

Art & Design

Additional Science

Average Raw Residual

MidYIS Year 7 2003/2004 to GCSE 2008 Value Added Analysis

Average Raw Residuals by Subject

School: 6734060

Page 3: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

CASE STUDY : MidYIS Year 7 to GCSE Standardised Residuals

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ics

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tion

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Page 4: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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Exam Year

Statistical Process Control ChartNationally Represesentative Standardisation

GCSE Overall

Examination Year

CASE STUDY : MidYIS Year 7 to GCSE Standardised Residuals

Page 5: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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Rank

Distribution of Schools' Average Standardised Residuals (National Schools' Standardisation) with 95% Confidence Intervals: GCSE School Level

Year 7 To GCSE

CASE STUDY : MidYIS Year 7 to GCSE Standardised Residuals

Page 6: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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2005 2006 2007 2008

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era

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es

idu

al

Exam Year

Statistical Process Control ChartNationally Represesentative Standardisation

GCSE Mathematics

Examination Year

CASE STUDY : MidYIS Year 7 to GCSE Standardised Residuals

Page 7: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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Ave

rag

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dis

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esid

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Rank

Distribution of Schools' Average Standardised Residuals (National Schools' Standardisation) with 95% Confidence Intervals: GCSE Mathematics

Year 7 to GCSE

CASE STUDY : MidYIS Year 7 to GCSE Standardised Residuals

Page 8: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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50 60 70 80 90 100 110 120 130 140 150 160 170

GC

SE P

oint

s Sc

ore

MidYIS Test Score (Standardised on a Nationally Representative Sample)

Year 7 MidYIS Score 2003/2004 Against GCSE Mathematics 2008Yr 7 MidYIS to GCSE: all pupils

Page 9: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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A* A B C D E F G

Mea

n S

tan

dar

dis

ed R

esid

ual

Grade

By grade

Grouped by GCSE Grade

Result

Mean Raw

Resid

Mean Stand

Residual CountA* 8 0A 7 1.17 0.94 8B 6 -0.03 -0.02 24C 5 0.04 0.03 36D 4 -0.61 -0.49 27E 3 -1.28 -1.03 18F 2 -1.88 -1.51 13G 1 -2.74 -2.21 13

total 139

Case Study:Maths All pupils

Page 10: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

Case Study:Maths All pupils

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D C B AM

ean

Sta

nd

ard

ised

Res

idu

al

Band

By quartile band

Grouped by Quartile Band

Bandlower bound

upper bound

Mean Raw

Residual

Mean Stand

Residual CountD 0 89.9 -0.98 -0.79 13C 89.9 100 -0.80 -0.65 32B 100 110.1 -0.39 -0.32 46A 110.1 200 -0.69 -0.55 48

Page 11: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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A* A B C D E F G

Mea

n S

tan

dar

dis

ed R

esid

ual

Grade

By grade

GIRLS

Grouped by GCSE Grade

Result

Mean Raw

Resid

Mean Stand

Residual CountA* 8 0A 7 1.14 0.92 4B 6 -0.08 -0.06 11C 5 -0.16 -0.13 16D 4 -0.50 -0.41 14E 3 -1.28 -1.03 12F 2 -1.66 -1.34 6G 1 -2.64 -2.13 8

total 71

BOYS

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A* A B C D E F G

Mea

n S

tan

dar

dis

ed R

esid

ual

Grade

By grade

Grouped by GCSE Grade

Result

Mean Raw

Resid

Mean Stand

Residual CountA* 8 0A 7 1.19 0.96 4B 6 0.02 0.01 13C 5 0.19 0.16 20D 4 -0.72 -0.58 13E 3 -1.29 -1.04 6F 2 -2.06 -1.66 7G 1 -2.88 -2.32 5

total 68

Page 12: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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-1

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0

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D C B A

Mea

n St

anda

rdis

ed R

esid

ual

Band

By quartile band

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D C B A

Mea

n St

anda

rdis

ed R

esid

ual

Band

By quartile bandGIRLS

Grouped by Quartile Band

Bandlower bound

upper bound

Mean Raw

Residual

Mean Stand

Residual CountD 0 89.9 -1.39 -1.12 6C 89.9 100 -1.13 -0.91 18B 100 110.1 -0.57 -0.46 26A 110.1 200 -0.42 -0.34 21

BOYS

Grouped by Quartile Band

Bandlower bound

upper bound

Mean Raw

Residual

Mean Stand

Residual CountD 0 89.9 -0.63 -0.51 7C 89.9 100 -0.38 -0.31 14B 100 110.1 -0.16 -0.13 20A 110.1 200 -0.89 -0.72 27

Page 13: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

MidYIS Test

Score

Predicted GCSE Points

Actual GCSE Points

Raw Residual

Standardised

Residual

overall 105.8 4.8 4.2 -0.6 -0.5girls 105.2 4.8 4.0 -0.7 -0.6boys 106.5 4.9 4.3 -0.5 -0.4

AVERAGE SCORES

Page 14: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

Case study: Alis value-added dataFour sets of VAD are available!

From average GCSE baseline:• all Alis cohort • type of Institution• Syllabus

From the baseline test• all Alis cohort

Page 15: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

SPC Chart with confidence limits: WHOLE SCHOOL

All Alis Cohort: Institution

Syllabus

Page 16: Running a School on Data: the role of Value-Added Data Course: Using CEM data in Practice Day 2 Session 4 Wed 30 th May 2012 Peter Hendry: CEM Consultant

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Using PARIS software: Baseline Test

Whole School

From your perspective, which set of VAD would you use for the different user groups? (Governors, HoDs, Media, Parents, SMT/SLT...)