1 / 20

Benchmarking : Deprivation Indicators Kirsty MacLachlan

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

berget
Download Presentation

Benchmarking : Deprivation Indicators Kirsty MacLachlan

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Benchmarking :Deprivation IndicatorsKirsty MacLachlan

  2. Aim of the project • To investigate indicators for use in benchmarking of attainment of pupils in schools

  3. Factors influencing attainment • Literature search done • Mothers’ qualifications • Socio-economic characteristics • Deprivation • Need measures which capture the characteristics of pupils not the school

  4. Current methodology • FME • Relates to pupils actually at the school • Accurate ‘determination’ of numbers entitled to free school meals • Consistent measure across the country?

  5. Whole School Attainment - comparison with similar schools (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

  6. Box Plots

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

  8. Current 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

  9. Data problems • Incorrect postcodes • Multiple schools/postcode

  10. Relationship between 2001 secondary attainment and GRO census indicators

  11. Relationship between 2001 primary attainment and GRO census indicators

  12. Relationship between mothers qualification and FME

  13. 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

  14. 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

More Related