School Subject Estimates

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Using FFT Live

Primary Schools

Mike Treadaway

Director of Research

Fischer Family Trust

Contents

Data Landscape

• Change and Continuity?

FFT Live

• Self-Evaluation

• Estimates - Particularly KS1

• Data Literacy – Applying Key Principles

Other Reports

• Student Explorer

• Exports

FFT

DfE

Value-Added

Contextual

Value-Added

3 Year

Summaries

Estimates

Data Landscape

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Also:

• Floor Standards

• Expected Progress

Whether or not to Contextualise?

Type of Analysis Advantages Disadvantages

Raw Outcomes e.g. %L4+ Provides a view as to whether pupils are attaining the knowledge and skills needed for their next stage of education?

When used to compare schools, depends strongly upon attainment of the school’s intake.

Value-Added

Contextual Value-Added

Enables a focus upon progress irrespective of context e.g.

How well are our FSM pupils doing compared to our non-

FSM pupils?

Comparing value-added outcomes for schools with different contexts and makeup of intakes can be misleading.

Aims to take account of factors which are outside the school’s control and which, from analysing national data, can be shown to influence progress.

If used to look ahead

(estimates) then danger of

‘self-fulfilling prophecy’ for pupils in groups who currently under-perform nationally.

Differences – VA and CVA

• Compare PA (Value-added) and SX (Contextual Value-Added) outcomes for KS2->4 in 2009/10.

– Use KS2 Average Points Score as outcome measure.

– Look at how many change significant state.

– Analyses by grouping schools in different socio-economic contexts.

School

Context

Q1

Q2

Q3

Q4

VA compared to CVA

Better Worse

14%

9%

4%

8%

7%

11%

11%

9%

School Change in VA Score

Context Avg Min Max

Q1

Q2

Q3

Q4

+0.30

+0.01

-0.08

+0.05

-1.6

-1.6

-1.6

-1.8

+1.6

+3.0

+1.9

+2.2

To get some idea of the likely change for your school, compare PA and SX value-added outcomes on FFT Live or in FFT Self-Evaluation reports.

In Lambeth, most schools have VA better than CVA – this is mainly related to the progress of ethnic minority pupils.

Recommendations

For Self-Evaluation:

• VA (FFT PA model) and CVA (FFT SX model) are both important

• Contextual Value-Added is probably still the best starting point

• For schools with high % of ethnic minority pupils (other than Black Caribbean) CVA is likely to be LOWER than VA

• If CVA is good, particularly in a school serving a socio-economically disadvantaged area,

VA provide a view as to whether pupils are making good progress irrespective of context

For Estimates:

• Thinking about range is probably the most important principle

• PA model probably the best starting point, but need to take account of:

• What the school has achieved in previous years

• Impact of pupil characteristics and school context

• Other factors, including parental support, school interventions .....

And, in the end, what matters most to each pupil is the knowledge and skills they take with them to the next stage of their education!

Expected Progress

• DfE Approach

– Whole Levels, Subject Specific Input

– So, for example, 84% L2 in Mathematics at KS1 attained L4+ at KS2 in

2011

• FFT Approach

– Differentiate within levels where possible (2ABC)

– Take into account prior attainment in English and Mathematics

KS1 Maths

2C

2B

2A

KS2 L4+ Maths

58%

86%

97%

KS1 English

1

2C

2B

2A

3

L4+ KS2 Maths

80%

82%

86%

89%

92%

FFT Live

Includes:

• Latest updates

• Future releases

• Help Files

SETS

• Key Changes for 2011

– Default changed to PA (Prior Attainment)

– SX (Contextual VA) continues to be available

– Option to SORT available on Pupil Estimates report

Self-Evaluation

Significant Areas Grid

• Range of pupil groups and indicators

• KS1 Contextual and KS1->2 VA / CVA

• 3 Year summary, Overall + Trends

Significant Areas Detail

• Shows actual attainment and VA/CVA scores for each year

• Can be accessed by clicking on Significant Areas grid

Pupil Value-Added

• KS1->KS2, VA or CVA

• Highlights where progress is mode than half a

NC level above or below national average

Estimates

School Summary Estimates

• Range of Indicators and Pupil Groups

• A – PA 50 th Percentile; B – SE 50 th Percentile,

• D – SE 25 th Percentile; S – School Previous

Pupil Summary Estimates

• Types A, B, D

• Range of indicators (overall level, L4+, L5+)

• Reading and Writing not included

School Subject Estimates

• Core Subjects including Reading and Writing and Expected

Progress for English and Mathematics

• Outcomes for all levels (not just L4+ and L5+)

• Some pupil groupings available

Pupil Subject Estimates

• Can be accessed directly or from School Subject Estimates

• Show likelihood of attaining all levels (L2 to L5)

• Also provides option to show ‘most likely level’

Using Estimates

Two basic approaches

• Start with pupil data

• Take into account other factors

• Add up and compare with overall estimates

• Revise as necessary to arrive at overall targets

• Use overall estimates and evaluation of past performance to draft overall targets

• Use ‘RANK’ option in FFT School

Subject Estimates to set overall figure at your overall targets

• Click on link to pupil estimates

• Estimate -> Prediction -> Target

• Consider option of range - realistic and ambitious

• Don’t add up ‘estimated levels’

Adding up estimated levels – why not?

• Consider a group of 20 ‘identical’ pupils

• They all have the same estimates:

L2

5%

L3

20%

L4

50%

L5+

25%

GM

4

HGM

25%

GA

5

If we add up the ‘GM’ grades

L2

0

L3

0

L4

20

L5

0

If we average the ‘chances’ for each level and multiply by number of pupils

L2

5%

1

L3

20%

4

L4

50%

10

L5

25%

5

Note : Adding up predicted or target grades is fine – assuming that they are not simply just using unmoderated estimates!

KS1 Estimates

• In development section

• Introduced in summer 2011 following a year of trialling and feedback – which was very positive!

• Examples of relationship between FSP and KS1 attainment

CLL -> Reading

MAT -> Maths

Remember that these are averages!

40%

35%

30%

25%

20%

15%

10%

5%

0%

Chart below shows KS1 Maths

Levels for FSP MAT scores between 18 and 22

EYFSP MAT score between 18 and 22

1 2C 2B

KS1 Mathematics Level

2A 3

Factor

Overall EYFSP Score

CLL Score

MAT Score

PSE Score

Gender

Age

Socio-Economic Context

FSP to KS1 - Factors

PA Model

Approximate

Weightings

SE Model

CLL

MAT

PSE

Gender

Age

KS1 Reading

58%

26%

8%

5%

2%

KS1 Writing

58%

24%

5%

11%

1%

KS1 Mathematics

44%

43%

3%

9%

1%

Other Reports

• Export Section

• Provides additional data (e.g. UPN,

FFT_ID) which is not available on

SETS reports

• Removes formatting and colours, so easier to import into other systems

• Student Explorer

• Select students by range of characteristics

• Look at individual pupil history

• Developments:

• FSM as pre-set group (can currently select using drop-down menus)

• Pilot estimate report which takes into account factors such as EAL and when arrived in UK

Questions

We have introduced KS1 estimates

• Should we also include KS1 Value-Added reports

• School-Level?

• Pupil-Level?

Student Explorer

• Ability to select by FSM (current or ever) will soon be included

• Are there any other important pupil characteristics which would be useful to have easily available on the main menu?

Any other suggestions for development?

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