Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
SlideShare a Scribd company logo
Progress with HELGA: can
it provide a sector
measure of Learning
Gain?
James Zuccollo Hannah White
Senior Economist Analyst
Learning Gain National Conference, Birmingham
Wednesday 7th February 2018
Follow us on Twitter at
#name
Context
Learning Gain activities
• Pilot projects – a range of bespoke/sector-wide approaches to
measuring/assessing learning gain predominantly at institution
level
• NMMLGP – working with 10 institutions to test the application of
a sector-wide learning gain survey instrument
• HELGA – complimentary activity seeking to explore whether
administrative data can provide a low burden approach to a
Learning Gain proxy which will allow for institutional comparisons
• Expert group – have met twice to discuss HELGA principles and
direction
What is HELGA?
Investigating the trade-off between burden and validity through:
• Start and end points in existing administrative data
• Methods for making comparisons across institutions/departments
Data
Our linked dataset pulls on data from:
• 2009 UCAS records (1.6 million offer records)
• 2009/10 HESA student data (117,000 individuals)
• 2009 NPD data (665,000 individuals)
• 444,000 linked offer records
Summary of linked data
Variable name Category
Student
characteristics
Institution (attended) University of Poppelton
Ethnicity White
POLAR 5
Sex Male
…
Prior
attainment
A-level grades AAB
Tariff point score 340
GCSE results English - A* Maths - A*…
Subject area of qualification Psychology, Maths, Economics
Offer
information
Institution (applied to) University of Poppelton
Offer Conditional/unconditional
Acceptance Firm/Insurance
Outcome
information
Degree class 2.1
DLHE 6 month employment Employed in Marketing, Advisor
DLHE 6 month salary £15,000
Start points
A number of initial skills level measures could be considered:
• A-levels
• Tariff points
• GCSEs
End points
The HELGA methodology
Students apply to
universities
Universities
choose who to
offer places to
Students accept
offers (based on
offer criteria)
Students attend
an institution
Students achieve
a degree
qualification
Students enter
employment and
receive a salary
Vertical
selection
Horizontal
selection
Skills
value-
added
Vertical selection
Identify sets of students who are ‘similar’ in the eyes of the offer
institution
Vertical selection
Institution offer profiles – what did you guess?
Vertical selection
Vertical selection
All students in the linked data set
Students given an offer from institution A
With same prior attainment
(similar in eyes of inst A)
Those who attend Those who attend
institution A another institution
The HELGA methodology
Students apply to
universities
Universities
choose who to
offer places to
Students accept
offers (based on
offer criteria)
Students attend
an institution
Students achieve
a degree
qualification
Students enter
employment and
receive a salary
Vertical
selection
Horizontal
selection
Skills
value-
added
Horizontal selection
Identify sets of institutions which are ‘similar’ in the eyes of the
students
All students in the linked data set
Students given offers from institutions A
and B where entrant mean tariff score is equal
Those who attend Those who attend
institution A institution B
Can we make value-added comparisons
across the sector?
How reliable will the estimates be?
Next steps
• Initial outputs soon
• Testing against pilot project and NMMLGP data
• Sensitivity testing will be vital given the small numbers
• HELGA output vs multi-level models
• Further advice from Expert group on initial output

More Related Content

Progress with HELGA: Can it provide a sector measure of learning gain? - James Zuccollo and Hannah White

  • 1. Progress with HELGA: can it provide a sector measure of Learning Gain? James Zuccollo Hannah White Senior Economist Analyst Learning Gain National Conference, Birmingham Wednesday 7th February 2018 Follow us on Twitter at #name
  • 2. Context Learning Gain activities • Pilot projects – a range of bespoke/sector-wide approaches to measuring/assessing learning gain predominantly at institution level • NMMLGP – working with 10 institutions to test the application of a sector-wide learning gain survey instrument • HELGA – complimentary activity seeking to explore whether administrative data can provide a low burden approach to a Learning Gain proxy which will allow for institutional comparisons • Expert group – have met twice to discuss HELGA principles and direction
  • 3. What is HELGA? Investigating the trade-off between burden and validity through: • Start and end points in existing administrative data • Methods for making comparisons across institutions/departments
  • 4. Data Our linked dataset pulls on data from: • 2009 UCAS records (1.6 million offer records) • 2009/10 HESA student data (117,000 individuals) • 2009 NPD data (665,000 individuals) • 444,000 linked offer records
  • 5. Summary of linked data Variable name Category Student characteristics Institution (attended) University of Poppelton Ethnicity White POLAR 5 Sex Male … Prior attainment A-level grades AAB Tariff point score 340 GCSE results English - A* Maths - A*… Subject area of qualification Psychology, Maths, Economics Offer information Institution (applied to) University of Poppelton Offer Conditional/unconditional Acceptance Firm/Insurance Outcome information Degree class 2.1 DLHE 6 month employment Employed in Marketing, Advisor DLHE 6 month salary £15,000
  • 6. Start points A number of initial skills level measures could be considered: • A-levels • Tariff points • GCSEs
  • 8. The HELGA methodology Students apply to universities Universities choose who to offer places to Students accept offers (based on offer criteria) Students attend an institution Students achieve a degree qualification Students enter employment and receive a salary Vertical selection Horizontal selection Skills value- added
  • 9. Vertical selection Identify sets of students who are ‘similar’ in the eyes of the offer institution
  • 10. Vertical selection Institution offer profiles – what did you guess?
  • 12. Vertical selection All students in the linked data set Students given an offer from institution A With same prior attainment (similar in eyes of inst A) Those who attend Those who attend institution A another institution
  • 13. The HELGA methodology Students apply to universities Universities choose who to offer places to Students accept offers (based on offer criteria) Students attend an institution Students achieve a degree qualification Students enter employment and receive a salary Vertical selection Horizontal selection Skills value- added
  • 14. Horizontal selection Identify sets of institutions which are ‘similar’ in the eyes of the students All students in the linked data set Students given offers from institutions A and B where entrant mean tariff score is equal Those who attend Those who attend institution A institution B
  • 15. Can we make value-added comparisons across the sector?
  • 16. How reliable will the estimates be?
  • 17. Next steps • Initial outputs soon • Testing against pilot project and NMMLGP data • Sensitivity testing will be vital given the small numbers • HELGA output vs multi-level models • Further advice from Expert group on initial output