Benchmarking : Deprivation Indicators Kirsty MacLachlan

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Benchmarking Benchmarking : : Deprivation Deprivation Indicators Indicators Kirsty MacLachlan Kirsty MacLachlan

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Benchmarking : Deprivation Indicators Kirsty MacLachlan. Aim of the project. To investigate indicators for use in benchmarking of attainment of pupils in schools. Factors influencing attainment. Literature search done Mothers’ qualifications Socio-economic characteristics Deprivation - PowerPoint PPT Presentation

Transcript of Benchmarking : Deprivation Indicators Kirsty MacLachlan

Page 1: Benchmarking : Deprivation Indicators Kirsty MacLachlan

Benchmarking :Benchmarking :Deprivation Deprivation IndicatorsIndicators

Kirsty MacLachlanKirsty MacLachlan

Page 2: Benchmarking : Deprivation Indicators Kirsty MacLachlan

Aim of the projectAim of the project

• To investigate indicators for use in benchmarking of attainment of pupils in schools

Page 3: Benchmarking : Deprivation Indicators Kirsty MacLachlan

Factors influencing attainmentFactors influencing attainment

• Literature search done

• Mothers’ qualifications

• Socio-economic characteristics

• Deprivation

• Need measures which capture the characteristics of pupils not the school

Page 4: Benchmarking : Deprivation Indicators Kirsty MacLachlan

Current methodologyCurrent methodology

• FME

– Relates to pupils actually at the school

– Accurate ‘determination’ of numbers entitled to free school meals

– Consistent measure across the country?

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Whole School Attainment - Whole School Attainment - comparison with similar schools comparison with similar schools

(WS/SS)(WS/SS)• FME used as the basis of comparison

• list of 20 'similar' schools• tables and box plots for 19 attainment

measures (e.g. % S4 roll attaining 5+ @ level 5+ by end of S4, etc)

• school's placing relative to similar schools

• summary statements for each measure - eg overall the school performed better than/poorer

than/in line with other schools with similar characteristics

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Box PlotsBox Plots

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Comparison of attainment nationally% S4 roll attaining 5+ @ level 5+ by end of S6 (2000-2002)

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Current developmentsCurrent developments• Data now available from GRO(S) 2001 census of

population• New travel to study question -> origin and

destination postcode• Identifies pupils attending recognised school

postcodes• Information available inter alia on

– mothers’ qualification– Socio-economic classification

Page 10: Benchmarking : Deprivation Indicators Kirsty MacLachlan

Data problemsData problems

Secondary Primary

Data available from GRO census

421 1975

No data available from GRO census

23 361

All schools 444 2336

• Incorrect postcodes• Multiple schools/postcode

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Relationship between 2001 secondary Relationship between 2001 secondary attainment and GRO census indicatorsattainment and GRO census indicators

Correlation % attaining 5+ @ level 5+ by end of S4

% attaining 3+ @ level 6+ by end of S5

% degrees 0.82 0.83

% no quals -0.79 -0.73

% Managerial 0.70 0.75

% FME -0.70 -0.66

% never worked

-0.67 -0.64

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Relationship between 2001 primary Relationship between 2001 primary attainment and GRO census indicatorsattainment and GRO census indicators

Correlation Reading Writing Maths

% degrees 0.55 0.55 0.48

% no quals -0.56 -0.55 -0.48

% Managerial 0.57 0.55 0.49

% FME -0.54 -0.52 -0.45

% never worked

-0.44 -0.43 -0.37

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Sec Average Sec Average attainmentattainment

NoNo % attaining 5+ @ % attaining 5+ @ level 5+ by end of level 5+ by end of

S4S4

% attaining 3+ @ % attaining 3+ @ level 6+ by end of level 6+ by end of

S5S5

Urban >125K 116 27 16Urban 10K – 125K

108 33 21

Town <30 mins

45 37 26

Town >=30 mins

22 37 25

Rural < 30 mins

29 40 27

Rural >= 30 mins

37 46 25

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Prim Average attainment

No % Reading % Writing % Maths

Urban >125K 535 79 68 78Urban 10K – 125K

445 79 69 80

Town <30 mins 166 79 71 80Town >=30 mins 41 79 69 78Rural < 30 mins 278 84 75 84Rural >= 30 mins 104 81 75 81

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Percentage of S4 pupils attaining 5+ awards at level 5 by end of S4, 2001Schools with rolls >200 in urban areas

R2 = 0.7237

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% of pupils with mothers with degrees

% 5

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Hillhead High School

Eastwood High School

St Ninians High School

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% attaining 5-14 levels in readingSchools with > 25 pupils in P3/4/6/7 in rural areas

R2 = 0.1258

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% of pupils with mothers with degrees

Tong PS

Sandhaven PS

Walkerburn PS

Woodmuir PS

Port Charlotte PS

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Anytown P.S. has mathematics attainment levels of 75.00%

Anytown P.S. is ranked 87th compared to its 100 similar schools

NOTE- the comparison is based on % pupils mothers with degrees from 2001 census

A boxplot showing the P3,4,6,7 2003 mathematics attainment figures for Anytown P.S. and for 100 similar urban schools

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Relationship between mothers Relationship between mothers qualification and FMEqualification and FME

Correlation with 2001 FME

Secondary Primary

% degree -0.70 -0.67

% no qualification

0.88 0.85

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Large differences between % degree and % FME rankings

• EAs with schools performing relatively much better using % degrees– Urban : Aberdeenshire, Midlothian

– Rural : Dumf & Galloway, Moray

• EAs with schools performing relatively much better using %FME– Urban : Edinburgh, Glasgow

– Rural : Highland

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Next steps?Next steps?

• Benchmark using similar schools rather than regression analyses?

• Benchmark using census information on mothers qualifications?– Quickly out-of-date– Data not available for all schools

• Benchmark using FME?– Investigate reasons for differences in relationships

between FME and no quals at school/EA level