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Steve Donatti

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Have you had time to load your disk and investigate your data? ... 1. Using Customise. Setting Colours. Show ESID students. 2. Transiency impact ... – PowerPoint PPT presentation

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Title: Steve Donatti


1
  • Steve Donatti
  • Phil Green
  • School Performance Branch

2
Session Outline
  • Background
  • Key Concepts
  • Software Update
  • Software Demonstration
  • Activities
  • Quick Quiz

3
Meeting expectations
  • Did you attend last years Data Club PD?
  • Have you had time to load your disk and
    investigate your data?
  • What are you hoping to get out of the session?

4
What is the Data Club?
  • A support program designed to assist school
    leaders in making performance judgements based on
    WALNA data
  • Additional analyses of the Year 3, 5 and 7
    Reading, Writing, Spelling and Numeracy test
    results
  • Professional development program and support line

5
History
  • Pilot 1999, managed by ECU 2000-2002 under a
    variety of funding arrangements
  • DET fully responsible from 2003 with CD produced
    for the first time
  • CD updated each year since based on school leader
    feedback made available to schools in February
  • In 2007 the Software and installer was available
    through the secure environment of Schools Online

6
What should you have?
  • School DataClub Software in your computer
  • School information sheet
  • Socio-economic index and band
  • How many sat each test, in each strand, in each
    year
  • DataClub2007 download instructions
  • PowerPoint slides
  • Software screen shots
  • Activity handout

7
Data Club 2007 whats new?
  • Five years of WALNA results
  • 5 years of data - 2002, 2003, 2004, 2005, 2006
  • 7 sets of student progress data
  • Year 3-5 2002-2004, 2003-2005, 2004-2006
  • Year 5-7 2002-2004, 2003-2005, 2004-2006
  • Year 3-7 2002-2006
  • The progress made by each student is calculated
    in the View Data panel of graph 8
  • Many other minor software enhancements

8
The analyses
  • Longitudinal
  • Did our latest Year 3, 5 and 7 cohorts do better
    than those from previous years?
  • Are there any trends?
  • Comparative
  • How did our Year 3, 5 and 7 cohorts perform
    compared with others? Are there any trends?
  • How did individual students perform compared with
    others?

9
The analyses
  • Progress
  • Did our students progress enough?
  • Standardised residuals
  • Did our year 3 cohort perform as expected, taking
    into account the schools socio-economic index?
  • Did our year 5 and 7 cohorts perform as expected,
    taking into account both earlier cohort test
    scores and the schools socio-economic index?

10
Key concepts
  • Presenting distributions
  • Box and whisker plots
  • percentiles, median, mean, types of distributions
  • WAMSE scale
  • School, State (government schools), District,
    Band
  • Comparing with expected performance
  • Standardised residuals
  • Correlation, line of best fit, residuals,
    value-added
  • Year 3 v socio-economic, Years 5 and 7 v previous
    performance and socio-economic

11
Box and Whisker Plots
450
Median or middle score
400
350
300
250
200
Mean score
150
School
12
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13
Sample Data
  • 1. John A 200 11. Barry M 300
  • 2. Sally B 240 12. Mark N 220
  • 3. Barry C 290 13. Leyton O 170
  • 4. Carrie D 295 14. Kylie P 360
  • 5. Alan F 270 15. Andrew R 270
  • 6. Macy G 340 16. Nicola S 190
  • 7. John H 100 17. Adam T 245
  • 8. Simon J 230 18. Melanie U 310
  • 9. Peter K 260 19. Tina V 270
  • 10. Carmen L 200 20. Stuart V 280
  • Total 5040 Mean 252

14
Sample Data
  • 1. Kylie P 360 11. Peter K 260
  • 2. Macy G 340 12. Adam T 245
  • 3. Melanie U 310 13. Sally B 240
  • 4. Barry M 300 14. Simon J 230
  • 5. Carrie D 295 15. Mark N 220
  • 6. Barry C 290 16. Carmen L 200
  • 7. Stuart V 280 17. John A 200
  • 8. Andrew R 270 18. Nicola S 190
  • 9. Tina V 270 19. Leyton O 170
  • 10. Alan F 270 20. John H 100
  • Total 5040 Mean 252

15
Sample Data
Percentile
Percentile
  • 1. Kylie P 360 11. Peter K 260
  • 2. Macy G 340 12. Adam T 245
  • 3. Melanie U 310 13. Sally B 240
  • 4. Barry M 300 14. Simon J 230
  • 5. Carrie D 295 15. Mark N 220
  • 6. Barry C 290 16. Carmen L 200
  • 7. Stuart V 280 17. John A 200
  • 8. Andrew R 270 18. Nicola S 190
  • 9. Tina V 270 19. Leyton O 170
  • 10. Alan F 270 20. John H 100
  • Total 5040 Mean 252

- 90th (337)
- 75th (293.75)
- 25th (205)
- 10th (172)
- 50th (265)
16
Box and Whisker Plots
WAMSE Scale
17
Socio-economic index
  • Dimensions derived from ABS Census 2001
  • Education x 2
  • Occupation x 2
  • Aboriginality x 2 ( based on actual in
    school)
  • Family income ( adjusted with RPI)
  • Single parent family
  • Best socio-economic index on balance for
    predicting WALNA performance

18
Socio-economic Index - Bands
Band Index Range No. Schools (602) 0 lt
77 29 1 77 - 88 52 2
89 93 58 3 94 - 97 85 4
98 101 136 5 102 - 105 104
6 106 - 109 74 7 110 115
40 8 gt 116 24
19
2005 Performance in Bands - Means
Band Year 3 Reading Year 7 Numeracy 0
164 351 1 240 421 2
269 440 3 283 455 4
288 467 5 306 478 6
316 488 7 327 509 8
348 538
20
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21
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22
Comparing with expected performance -
Prediction models
  • Year 3 prediction model
  • We attempt to take into account socio-economic
    status no prior performance available
  • 2005 correlations between 0.56 and 0.69
  • Year 5 and 7 prediction models
  • We attempt to take into account both
    socio-economic status and cohort performance two
    years earlier
  • Year 5 correlations between 0.81 and 0.86
  • Year 7 correlations between 0.80 and 0.86

23
Correlations
SES v Year 3 School Reading Mean
r 0.60
SES Index
24
School Performance
SES v Year 3 School Reading Mean
School B
School A
SES Index
25
School A Performance
SES v Year 3 School Reading Mean
School A
SES Index
26
School A Performance
SES v Year 3 School Reading Mean
School A
SES Index
27
School A Performance
SES v Year 3 School Reading Mean
School A
SES Index
28
School A Performance
SES v Year 3 School Reading Mean
School A
ve value-added
SES Index
29
School B Performance
SES v Year 3 School Reading Mean
School B
SES Index
30
School B Performance
SES v Year 3 School Reading Mean
School B
SES Index
31
School B Performance
SES v Year 3 School Reading Mean
-ve value-added
School B
SES Index
32
School Performance
SES v Year 3 School Reading Mean
negative residual
School B
School A
positive residual
SES Index
33
Normal Curve
Mean
-1 SD
1 SD
-2 SD
2 SD
68
34
Normal Curve
2.5
2.5
Mean
-1 SD
1 SD
-2 SD
2 SD
68
95
35
Standardised Residuals
Horizontal line at 0 is expected performance
Scale is Standard Deviations
36
Loading the Software
  • The Data Club software and all of the data will
    been copied to your C drive and are held under
    Program FilesgtDataClub.
  • The software is not designed to run on a network.
  • The Data Club software can be uninstalled by
    selecting Start gt Programs gt DataClub gt Uninstall
    DataClub.

37
Software demonstration
  • Refer to the Software Screen Shots handout
  • Record your notes against each slide graphic

38
Anomalous data
  • Disappearing box and whiskers
  • Small schools
  • Restricted distributions
  • Spurious significant residuals

39
Small schools
40
Restricted distributions
41
Spurious significant residuals
  • 26 Year 3s
  • 27 Year 5s
  • 19 match
  • Too many have declining performance
  • Year 3 result?
  • What else do you know?

Standardised Residual -3.04
42
Activities
  • 1. Using Customise
  • 2. Transiency Impact
  • 3. School Report

43
1. Using Customise
  • Setting Colours
  • Show ESID students

44
2. Transiency impact
  • How can I get a handle on how the students we
    had for the past two years went the ones we are
    responsible for?
  • How did they perform in comparison with the
    cohort, the Band and the State?
  • How well did they progress?

45
3. The School Report
  • What makes sense to be included in your annual
    School Report?
  • From your interpretation present data as
    statements about trends refer suggestion sheet
  • What about percentages meeting the benchmark?
  • What about including some graphs? How do I do it?
  • What does Schools Online have to offer?

46
New National Reporting Requirements
  • The School Assistance Act (2004) and Regulations
    (2005) require schools to report on 13
    performance indicators under the headings
  • Professional engagement
  • Key student outcomes
  • Satisfaction

47
New National Reporting Requirements
  • School Performance Branch has been working with
    schools to ensure that the impact on schools will
    be minimised.
  • The school report is the vehicle for addressing
    these reporting requirements.

48
Schools Online
49
What now?
  • After looking at the Data Club analyses Ive got
    a feel for where we need to make some
    improvements. What now?
  • Using the Student Results spreadsheet
  • Linking with teacher professional judgements
  • Developing a whole school approach that is
    evidenced based
  • The Assessment Literacy Project

50
Quick Quiz
  • What is the purpose of the Data Club?
  • Which graph do think will be the most useful to
    you?
  • What does a box plot show?
  • Which scale is used in the display of test
    results?
  • Whats a like-school Band?
  • Which graph shows the Benchmarks and WAGSATs?
  • Why are there two standardised residual graphs?
  • Approximately what percentage of schools will
    have a standardised residual gt1.00?
  • What do you click on to get help for a graph?
  • What is one thing you will do with the DC
    resource when you get back to school ?

51
Data Club Contact Points
  • Help Line - 9264 4966
  • Website
  • Go to the Data Club link under School
    Performance at
  • http//www.eddept.wa.edu.au/accountability/
  • New National Reporting Requirements
  • Go to School Accountability link under School
    Performance at the same address

52
Meeting expectations
  • How did we go?

53
Acknowledgements
  • Data Analysis, PD Design and Presentation
  • School Performance Team
  • Software
  • Mike Smith
  • School Performance Team
  • WA Government School Principals and Leaders
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