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Analysis of VET Participation by SES Trends Over Time

This study by Tom Karmel and Patrick Lim at the CEET conference in November 2013 delves into measuring VET participation by SES over time, using indices like IRSD, IRSAD, IEO, and IER. It explores VET participation rates for different age groups and the changes between 2006 and 2011, highlighting the importance of accurate estimates and equity in VET participation.

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Analysis of VET Participation by SES Trends Over Time

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  1. Measuring VET participation by SES over time Tom Karmel and Patrick Lim CEET conference, 1 November 2013

  2. SEIFA • Index of relative socio-economic disadvantage (IRSD) • Index of relative socio-economic advantage and disadvantage (IRSAD) • Index of education and occupation (IEO) • Index of economic resources (IER)

  3. Quintiles aint quintiles

  4. And even worse for particular age groups

  5. VET participation rates for 15-19 years, 2006

  6. VET participation rates for 15-19 years, 2011

  7. VET participation rates for 20-24 years, 2006

  8. VET participation for 20-24 years, 2011

  9. 2006 SEIFA against 2011 SEIFA (IRSD) by POA

  10. 2006 SEIFA against 2011 SEIFA (IRSD), by SLA

  11. Apparent and actual educational participation rates in a hypothetical example .

  12. 15-19 year old VET participation rates, 2006 and 2011, POA

  13. 15-19 years VET participation rate, changes between 2006 and 2011, POA

  14. Actual and apparent changes in VET participation for age by SES quintiles, 2006-2011, SEIFA (ISRD), POA (percentage points)

  15. 15-19 years VET participation rate, changes between 2006 and 2011, SLA

  16. Apparent and actual VET participation rates for those aged 15-19 years, by SES quintile, 2011

  17. Apparent and actual VET participation rates for those aged 20-24 years, by SES quintile, 2011

  18. Apparent and actual VET participation rates for those aged 24-64 years, by SES quintile, 2011

  19. Actual and apparent changes in VET participation for age by SES quintiles, 2006-2011, SEIFA (ISRD), SLA (percentage points)

  20. More work to be done • Same exercise for higher education • Figure out how to analyse accuracy of estimates at qualification level

  21. Summary • Quintiles ain’t quintiles. • Important to calculate participation rates rather than use 20% as a reference. • Equity issue in VET not obvious. • In respect of SEIFA, level of regional classification matters. • SEIFA at SLA level seems ok, but need to test methodology every census.

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