How is a *prediction* generated?

January 17, 2018 | Author: Anonymous | Category: Science, Health Science, Pediatrics
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Peter Hendry: CEM Consultant

Interpreting Feedback from Baseline Tests – Predictive Data Course: CEM Information Systems for Beginners and New Users

Day 1 Session 3 Wednesday 17th October 2012 [email protected]

The word ‘PREDICTION’: Quite probably the most contentious term that is used!! Concerns include: • A prediction for GCSE at start of year 7? • What has the baseline test got to do with my subject? • I know my pupils! • The predictions are too low: not valid!!! • And what about my professional judgement?

How is a ‘prediction’ generated? *

** *** ******************* A*

* ** *** ******************************** A * ** *** ********************************* *** ** * B C

GRADE

GRADE

* ** *** ************************************ *** ** * * ** *** ******************************** **** ** * * ** ***************************** *** ** * * ** *** ******************* ** * *

* ** *********** ** * 50

100 BASELINE SCORE

150

3 key points are: • The higher the baseline score the higher the final grade • Any one grade is achievable from a range of baseline scores • From any baseline score, a range of grades are possible

How is a ‘prediction’ generated?

Subject National trend line * ** (regression line)

50% on or above the trend line * ** *** ******************* A* *** ******************************** A

* ** *** ********************************* *** ** * B ‘PREDICTION’ (expected grade)

* ** *** ******************************** **** ** * * ** ***************************** *** ** * * ** *** ******************* ** * * 50% on or below the * ** *********** ** * trend line

BASELINE SCORE

C

GRADE

GRADE

* ** *** ************************************ *** ** *

2008 GCSE Maths (representative sample) 9 8 7

Result

6 5 4 3 2 1 0 0

20

40

60

baseline score

80

100

‘Predictions’…...are based on Average performance by similar pupils in past examinations The problem with the word ‘prediction’ is…? An alternative is ‘expected’ grade

Predictions

6.6 points = A/B

4 points = D

Trend line

The graph below shows the middle 2/3 of some subject trend lines MidYIS Year 7 to GCSE 2011 Value Added Analysis

Art & Design

8

Biology 7

English

GCSE Points Score

6

5

French

4

History 3

Mathematics

2

1 50

60

70

80

90

100

110

120

MidYIS Test Score

Comments?

130

140

150

Science

Some Subjects are More Equal than Others….

A

Grade

B >1 grade

C

Photography Sociology English Lit Psychology Maths Physics Latin

D

E

C

B

A Average GCSE

A*

FACTORS THAT WILL INFLUENCE RELIABILITY OF PREDICTIONS: • • • • • • • • • •

Knowledge of student Parental support/home life Peer influences/social life Student attitude, interest, language Expectations of staff Department/institution ethos Resources Quality of teaching and learning: pace of lessons Understanding how children learn……… And the reliability of the predictions......

Result

Correlation = 1

12

Correlation = 0

Correlation = 0.7

CORRELATIONS SUBJECT ART and DESIGN BIOLOGY ECONOMICS ENG LIT FRENCH HISTORY MATHS MUSIC PHYS EDUC PSYCHOLOGY

GCSE to A2 0.54 0.69 0.65 0.71 0.6 0.69 0.6 0.65 0.65 0.62

MIDYIS( Yr 7) subject to GCSE ART 0.49 BIOL 0.56 ENG LANG 0.7 FRENCH 0.64 HISTORY 0.63 MATHS 0.74 MUSIC 0.57

A

6.8 7.2

2

F

7E 120

A

3

F

7C 110

4

F

7J

5

M

7D

1

7.2

7.5

7.0

6.3

6.7 6.4 6.1

6.4

6.5

6.3

B

5.8

6.2 5.7 5.4

5.5

5.6

5.5

101

B

5.4 5.8

5.1 4.8

4.9

4.9

4.9

82

D

4.5 4.9

3.8 3.5

3.4

3.2

3.5

M

7E 131

A

2

F

7E 120

A

3

F

7C 110

B

B

B

4

F

7J

101

B

B/C

B

C

5

M

7D

82

D

C/D

C

D

A

A

English

7.1 6.8

Biology

Science

7E 131

Mathematics

Art & Design

M

History

MidYIS Band

1

French

Form

• Look at Art and Design, Biology and French. Comments?

Sex

What pattern do you notice?

student no.

• Compare the predictions for English and Mathematics.

MidYIS Score

Point and grade ‘predictions’ to GCSE

A

A/B A/B A/B

A B

A A*/A

A

A/B A/B A/B

B/C B/C B/C B/C B/C C

C

D/E D/E

C

C

E

D/E

The graph below shows the middle 2/3 of some subject trend lines MidYIS Year 7 to GCSE 2011 Value Added Analysis

Art & Design

8

Biology 7

English

GCSE Points Score

6

5

French

4

History 3

Mathematics

2

1 50

60

70

80

90

100

110

120

MidYIS Test Score

Comments?

130

140

150

Science

Individual Chances Graph for Student 4- GCSE English MidYIS Score 101 MidYIS Band B Teacher's Adjustment : 0 grades / levels / points

45

39

40

35

Percent

30

Prediction/expected grade: 5.1 grade C

27

25

20

19

Most likely grade

15

9

10

5

5

0

0

U

G

1

1

0 F

E

D

Grade

C

B

A

A*

MidYIS Year 9 Test Academic Year 2011/2012 Predictions based on 2011 Regression Analysis Predictions & Chances Graphs to GCSE subjects

to place school at 75th percentile of VAD

based on Year 9 nationally standardised scores Please refer to the Information Sheet for details of the method used to make these predictions

Points To Grades

Adjust

GCSE Point Predictions

Teacher's Adjustment (Grades)

Display Legend

4.7 5.8 6.1 6.3 5.6 6.3 5.7 5.6 5.8 5.9 5.4 5.6

3

F

91400042

108

B

4.6 5.6 6.0 6.1 5.4 6.1 5.5 5.4 5.6 5.7 5.2 5.4

4

F

91400043

101

B

4.2 5.0 5.6 5.7

4.8 5.7

Geography

A

French

111

English Literature

9140005K

5.1 5.9

English

F

Cust

Drama

2

CEM Id

Design & Technology

4.4 5.3 5.8 5.9

Form

Chemistry

B

Sex

Business Studies

105

Forename

Biology

9140005J

Surname

Art & Design

Additional Applied Science

F

Generate File for MIS Import

Additional Science

MidYIS Band

1

Prior Value added

Student

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

MidYIS Score

Upper Quartile of Schools

5.3 5.2 5.4 5.5 5.0 5.1

5.0 5.0 5.1 5.3 4.7 4.7

MidYIS Year 9 Test Academic Year 2011/2012 Predictions based on 2011 Regression Analysis Predictions & Chances Graphs to GCSE subjects based on Year 9 nationally standardised scores Please refer to the Information Sheet for details of the method used to make these predictions

Points To Grades

Adjust

GCSE Point Predictions

Teacher's Adjustment (Grades)

Display Legend

4.9 6.0 6.3 6.5 5.8 6.5 5.9 5.8 6.0 6.1 5.6 5.8

3

F

91400042

108

B

4.8 5.8 6.2 6.3 5.6 6.3 5.7 5.6 5.8 5.9 5.4 5.6

4

F

91400043

101

B

4.4 5.2 5.8 5.9

5.0 5.9

Geography

A

French

111

English Literature

9140005K

5.3 6.1

English

F

Cust

Drama

2

CEM Id

Design & Technology

4.6 5.5 6.0 6.1

Form

Chemistry

B

Sex

Business Studies

105

Forename

Biology

9140005J

Surname

Art & Design

Additional Applied Science

F

Generate File for MIS Import

Additional Science

MidYIS Band

1

Prior Value added

Student

0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2

MidYIS Score

Reset Adjustments

5.5 5.4 5.6 5.7 5.2 5.3

5.2 5.2 5.3 5.5 4.9 4.9

MidYIS Year 9 Test Academic Year 2011/2012 Predictions based on 2011 Regression Analysis Predictions & Chances Graphs to GCSE subjects based on Year 9 nationally standardised scores Please refer to the Information Sheet for details of the method used to make these predictions

Points To Grades

Adjust

GCSE Point Predictions

Teacher's Adjustment (Grades)

Display Legend

4.7 5.8 6.1 6.3 5.6 6.3 5.7 5.6 5.8 5.9 5.4 5.6

3

F

91400042

108

B

4.6 5.6 6.0 6.1 5.4 6.1 5.5 5.4 5.6 5.7 5.2 5.4

4

F

91400043

101

B

4.2 5.0 5.6 5.7

4.8 5.7

Geography

A

French

111

English Literature

9140005K

5.1 5.9

English

F

Cust

Drama

2

CEM Id

Design & Technology

4.4 5.3 5.8 5.9

Form

Chemistry

B

Sex

Business Studies

105

Forename

Biology

9140005J

Surname

Art & Design

Additional Applied Science

F

Generate File for MIS Import

Additional Science

MidYIS Band

Or insert own values and click adjust

1

Prior Value added

Student

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

MidYIS Score

Upper Quartile of Schools

5.3 5.2 5.4 5.5 5.0 5.1

5.0 5.0 5.1 5.3 4.7 4.7

MidYIS Year 9 Test Academic Year 2011/2012 Predictions based on 2011 Regression Analysis Predictions & Chances Graphs to GCSE subjects based on Year 9 nationally standardised scores Please refer to the Information Sheet for details of the method used to make these predictions

Points To Grades

Adjust

GCSE Point Predictions

Teacher's Adjustment (Grades)

Display Legend

B

4.6 5.9 7.4 6.8 5.4 6.8 5.5 6.3 6.9 6.5 5.9 6.8

4

F

91400043

101

B

4.2 5.3 7.0 6.4

4.8 6.4

Geography

108

French

91400042

English Literature

F

5.1 6.6

English

3

Cust

Drama

4.7 6.1 7.5 7.0 5.6 7.0 5.7 6.5 7.1 6.7 6.1 7.0

CEM Id

Design & Technology

4.4 5.6 7.2 6.6

A

Form

Chemistry

B

111

Sex

Business Studies

105

9140005K

Forename

Biology

9140005J

F

Surname

Art & Design

Additional Applied Science

F

2

Generate File for MIS Import

Additional Science

MidYIS Band

1

Reset Adjustments

Student

0.0 0.3 1.4 0.7 0.0 0.7 0.0 0.9 1.3 0.8 0.7 1.4

MidYIS Score

Upper Quartile of Schools

5.3 6.1 6.7 6.3 5.7 6.5

5.0 5.9 6.4 6.1 5.4 6.1

MidYIS Year 9 Test Academic Year 2011/2012 Predictions based on 2011 Regression Analysis Predictions & Chances Graphs to GCSE subjects based on Year 9 nationally standardised scores Please refer to the Information Sheet for details of the method used to make these predictions

Adjust

A

A/B

B

A

B A*/A

A

B/C

A

B/C A/B

A

A/B

B

A

A/B

C

A/B

A/B

B

B/C

B

2

F

9140005K

111

A

C/D

3

F

91400042

108

B

C/D

4

F

91400043

101

B

D

Cust

B/C

A

A/B B/C

C

B

B

Geography

B/C A/B

C/D B/C

CEM Id

French

A

B

Form

English Literature

B/C

105

Sex

English

Business Studies

A

9140005J

Forename

Drama

Biology

B A*/A

F

Surname

Design & Technology

Art & Design

C

MidYIS Band

A/B

1

Generate File for MIS Import Student

A

MidYIS Score

Reset Adjustments

0.0 0.3 1.4 0.7 0.0 0.7 0.0 0.9 1.3 0.8 0.7 1.4

Additional Science

Upper Quartile of Schools

Additional Applied Science

Teacher's Adjustment (Grades)

GCSE Grade Predictions

Chemistry

Grades To Points

Display Legend

A/B A/B B/C A/B

Prediction/expected grade: 6.4 grade A/B

Most likely grade

MidYIS Year 9 Test Academic Year 2011/2012 Predictions based on 2011 Independent Sector Regression Analysis Predictions & Chances Graphs to GCSE subjects based on Year 9 Independent Sector standardised scores Please refer to the Information Sheet for details of the method used to make these predictions

Points To Grades

Design & Technology

C

6.1 6.8 6.7 6.0 6.7 6.1 6.4 6.4 6.5 6.4 6.1 6.5 6.2

3

F

91400042

90

C

6.0 6.7 6.6

5.9 6.6

4

F

91400043

81

D

5.5 6.5 6.1

5.4 6.1 5.6 5.8 5.9 5.9 5.9 5.4 5.8 5.6

German

94

Geography

9140005K

French

F

5.7 6.4

English Literature

2

Cust

English

5.8 6.6 6.4

CEM Id

Drama

D

Form

Chemistry

87

Sex

Business Studies

9140005J

Forename

Biology

Additional Science

F

Surname

Art & Design

MidYIS Band

1

Generate File for MIS Import Student

Classical Civilisation

GCSE Point Predictions

MidYIS Score

Display Legend

5.8 6.1 6.1 6.1 6.2 5.7 6.1 5.8 6.0 6.3 6.3 6.3 6.3 5.9 6.3 6.0

Independent Sector Prediction/expected grade: 5.9 grade C

Most likely grade

Not a label for life ...just another piece of information • The Chances graphs show that, from almost any baseline score, students come up with almost any grade - - -there are just different probabilities for each grade depending on the baseline score. • In working with students these graphs are more useful than a single predicted or target grade • Chances graphs show what can be achieved: – By students of similar ability – By students with lower baseline scores

Yellis predictive data: baseline score 103 (55%) Yellis Average Subject Predicted Business Studies 5.4 (B/C) English 5.7 (B/C) French 5.4 (B/C) Geography 5.6 (B/C) Mathematics 5.7 (B/C) Physical Education 5.7 (B/C) Science: GCSE 5.6 (B/C) Science: GCSE Additional 5.6 (B/C) SC Religious Studies 5.3 (B/C)

Yellis Average Subject Predicted Business Studies 5.6 (B/C)* English 5.9 (B)* French 5.6 (B/C)* Geography 5.8 (B)* Mathematics 5.9 (B)* Physical Education 6.0 (B)* Science: GCSE 5.8 (B)* Science: GCSE Additional 5.8 (B)* SC Religious Studies 5.6 (B/C)*

Weighted Average

Weighted Average

5.6 (B/C)

Yellis Average Subject Predicted Business Studies 5.4 (B/C) English 5.7 (B/C)* French 5.4 (B/C) Geography 5.8 (B)* Mathematics 5.9 (B)* Physical Education 6.7 (A/B)* Science: GCSE 6.3 (A/B)* Science: GCSE Additional 5.6 (B/C) SC Religious Studies 5.7 (B/C)* Weighted Average

5.8 (B)

5.8 (B)

Polly Bolton

B

SECURE

5

ORG

MC

E

B

UNLIKELY

3

Science

CPa

E

C

UNLIKELY

Science Additional

CPa

D

C

French

CK

C

History

KM

RS

CG

CB

Maths

B

SECURE

5

C

B

LIKELY

5

HW

D

B

POSSIBLE

4

4

ORG

D

C

POSSIBLE

4

ORG

LIKELY

4

ORG

B

C

LIKELY

4

ORG

B

LIKELY

4

C

B

LIKELY

5

A

A

SECURE

5

B

A

SECURE

5

D

B

POSSIBLE

4

C

B

POSSIBLE

4

KEY - target is:

SECURE

LIKELY

POSSIBLE

UNLIKELY

effort: 5 excellent - 4 good - 3 satisfactory - 2 poor - 1 very poor concern: WW working well - ATT attitude - BEH behaviour TEN attendance - PUN punctuality - HW homework CON confidence - ORG organisation - EAL language

concern

B

English Literature

B

is:

effort

ORG

target grade

5

year 10 exam

LIKELY

concern

concern

B

CB

is:

effort

effort

C

English

target grade

is:

Teach

Subject

SUMMER

current grade

target grade

SPRING

current grade

AUTUMN

Student 1

Student 2

Why is the ‘predicted’ grade not always equal to the highest bar ? Predicted (‘expected’) grade

Most likely grade

AT WHICH POINT WILL THE SEESAW BE BALANCED? Predicted (‘expected’) grade i.e. the lower grades ‘pull’ the prediction to the left

Student 3

Student 4

Student 4 - IPR

Vocab Item Responses

Correct

30

Response Time (s)

25

20

15

10

5

0 1

2

3

4

5

6

7

8

9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Question Wrong

Basing Targets on Prior VA – One Methodology from an Alis School •

Discuss previous value added data with each HoD



Start with an agreed REALISTIC representative figure based, if available on previous (3 years ideally) of value added data



add to each pupil prediction, and convert to grade (i.e. in-built value added)



Discuss with students, using professional judgment and the chances graphs, adjust target grade



calculate the department’s target grades from the addition of individual pupil’s targets

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S u rn a m e

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A ve G C S E 4 .7 5 .8

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P re d ic tio n 4 9 .3 7 3 .2

TARGET 6 4 .3 8 8 .2

ta rg e t g ra d e D C

Teacher a d j ta rg e t R E S U L T D D C C

Key Questions for Target Setting • What type of valid and reliable predictive data should be used to set the targets? • Should students be involved as part of the process (ownership, empowerment etc.)? • Should parents be informed of the process and outcome?

Key points to consider might include: • • • • • • •

Where has the data come from? What (reliable and relevant) data should we use? Enabling colleagues to trust the data: Training (staff) Communication with parents and students Challenging, NOT Demoralising, students……. Storage and retrieval of data Consistency of understanding what the data means and does not mean

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