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