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Multilevel models for the
assessment of school
effectiveness using PISA
scores
Gamazo, Adriana; Olmos-Migueláñez, Susana;
Martínez-Abad, Fernando
University of Salamanca
Introduction
Rising interest
in the study of school and
student factors
Models explaining:
 Academic performance
 School effectiveness
International
European
Regional
National
Standardised tests
Standardised
Tests
Academic
Performance
Context
Questionnaire
Students
School
Usual standardised test structure
Student context factors (socio-economic
background, gender, country of origin,
grade repetition…)
School factors that can be intervened
(relationships with parents/community,
methodology, organisation, evaluation
methods…)
School context factors (resources, rate of
males/females, rate of grade repeaters…)
PISA School score composition
OUR RESEARCH AIMS TO…
• develop multilevel models in order to eliminate the influence of context in
PISA scores
• detect schools with high and low effectiveness within the Autonomous
Community of Castile and Leon
• study the factors associated with high- and low-performing students
So, why is this important?
ESCS -1 -0,5 0 0,5 1
600
550
500
450
400
350
300
PISA score
Regression diagram: Pisa score – Socio-econocmic level (ESCS)
ESCS -1 -0,5 0 0,5 1
600
550
500
450
400
350
300
PISA score
Score above
OECD average
Selection based on PISA alone
ESCS -1 -0,5 0 0,5 1
600
550
500
450
400
350
300
PISA score
Most effective
schools
Selection based on context
ESCS -1 -0,5 0 0,5 1
600
550
500
450
400
350
300
PISA score
Most effective
schools
Least effective
schools
Selection based on context
QUALITATIVE
Case study Practice analysis
QUANTITATIVE
School selection Factor analysis
METHODOLOGY
QUANTITATIVE PHASE
Sample:
• Schools and students selected for
PISA 2015
• Castile and Leon, Spain
Sample:
• Schools and students selected for
PISA 2015
• Castile and Leon, Spain
Methodology:
• Transversal
• Hierarchical linear models
Sort the schools
according to their
value added
Select the most and
least effective
schools
QUANTITATIVE PHASE – EXPECTED OUTCOMES
&
QUALITATIVE PHASE
Sample:
• Schools selected in quantitative
phase
Methodology:
• Case study
• Interviews, group discussions,
observation…
QUALITATIVE PHASE
Most effective schools Least effective schools
In-depht study of
Leadership
Teaching
methodology
Time
management
Assessment
Guidance and
counselling
QUANTITATIVE PHASE – EXPECTED OUTCOMES
Practices associated
with school
effectiveness
Practices associated
with school
ineffectiveness
Seemingly irrelevant or
unclear practices
What do we hope to achieve in the end?
Policymakers
School heads Teachers
Understand school efficiency and which factors help and hinder it
Dissertation status
Analysis phase Conclusions
Literature
review
Database
preparation
Pilot
analysis
Result
discussion
Previous phase
Quantitative Qualitative
December 2016
PISA 2015
Limitations of the research
Longitudinal
vs.
transversal
Sample
vs.
census information
THANK YOU VERY MUCH FOR LISTENING!

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Multilevel models for the assessment of school effectiveness using PISA scores

  • 1. Multilevel models for the assessment of school effectiveness using PISA scores Gamazo, Adriana; Olmos-Migueláñez, Susana; Martínez-Abad, Fernando University of Salamanca
  • 2. Introduction Rising interest in the study of school and student factors Models explaining:  Academic performance  School effectiveness
  • 5. Student context factors (socio-economic background, gender, country of origin, grade repetition…) School factors that can be intervened (relationships with parents/community, methodology, organisation, evaluation methods…) School context factors (resources, rate of males/females, rate of grade repeaters…) PISA School score composition
  • 6. OUR RESEARCH AIMS TO… • develop multilevel models in order to eliminate the influence of context in PISA scores • detect schools with high and low effectiveness within the Autonomous Community of Castile and Leon • study the factors associated with high- and low-performing students So, why is this important?
  • 7. ESCS -1 -0,5 0 0,5 1 600 550 500 450 400 350 300 PISA score Regression diagram: Pisa score – Socio-econocmic level (ESCS)
  • 8. ESCS -1 -0,5 0 0,5 1 600 550 500 450 400 350 300 PISA score Score above OECD average Selection based on PISA alone
  • 9. ESCS -1 -0,5 0 0,5 1 600 550 500 450 400 350 300 PISA score Most effective schools Selection based on context
  • 10. ESCS -1 -0,5 0 0,5 1 600 550 500 450 400 350 300 PISA score Most effective schools Least effective schools Selection based on context
  • 11. QUALITATIVE Case study Practice analysis QUANTITATIVE School selection Factor analysis METHODOLOGY
  • 12. QUANTITATIVE PHASE Sample: • Schools and students selected for PISA 2015 • Castile and Leon, Spain Sample: • Schools and students selected for PISA 2015 • Castile and Leon, Spain Methodology: • Transversal • Hierarchical linear models
  • 13. Sort the schools according to their value added Select the most and least effective schools QUANTITATIVE PHASE – EXPECTED OUTCOMES &
  • 14. QUALITATIVE PHASE Sample: • Schools selected in quantitative phase Methodology: • Case study • Interviews, group discussions, observation…
  • 15. QUALITATIVE PHASE Most effective schools Least effective schools In-depht study of Leadership Teaching methodology Time management Assessment Guidance and counselling
  • 16. QUANTITATIVE PHASE – EXPECTED OUTCOMES Practices associated with school effectiveness Practices associated with school ineffectiveness Seemingly irrelevant or unclear practices
  • 17. What do we hope to achieve in the end? Policymakers School heads Teachers Understand school efficiency and which factors help and hinder it
  • 18. Dissertation status Analysis phase Conclusions Literature review Database preparation Pilot analysis Result discussion Previous phase Quantitative Qualitative December 2016 PISA 2015
  • 19. Limitations of the research Longitudinal vs. transversal Sample vs. census information
  • 20. THANK YOU VERY MUCH FOR LISTENING!