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Combining Achievement and Well-Being in the Assessment of Education Systems

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  • Guillermo Montt

    (International Labour Organization (ILO))

  • Francesca Borgonovi

    (Organisation for Economic Co-Operation and Development (OECD))

Abstract

Countries’ education systems are often compared using academic achievement measures from large-scale assessments like PISA. These exercises are criticized because achievement is but one of the aims of education and comparisons don’t take into account each country’s socio-demographic composition, cultural and historical background and organizational features. We use data from OECD countries to assess countries that can serve as models for education policy to promote both high mathematics achievement and student well-being. We adopt a novel methodological approach based on imputation methods to simultaneously estimate mathematics achievement and students’ sense of belonging while taking into account countries’ socio-demographic and organizational features. Results indicate that, in general, education systems have been able to organize and use their resources to promote either mathematics performance or student well-being, but not both simultaneously. The East Asian approach to education is successful in promoting student achievement in mathematics while Austria, Norway and Spain have greater success in promoting students’ sense of belonging.

Suggested Citation

  • Guillermo Montt & Francesca Borgonovi, 2018. "Combining Achievement and Well-Being in the Assessment of Education Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 271-296, July.
  • Handle: RePEc:spr:soinre:v:138:y:2018:i:1:d:10.1007_s11205-017-1644-y
    DOI: 10.1007/s11205-017-1644-y
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    References listed on IDEAS

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    1. Barrera-Osorio, F. & García-Moreno, V. & Patrinos, H., & Porta, E., 2011. "Using the Oaxaca-Blinder Decomposition Technique to Analyze Learning Outcomes Changes over Time: An Application to Indonesia’s Results in PISA Mathematics," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    2. Christopher Winship & Larry Radbill, 1994. "Sampling Weights and Regression Analysis," Sociological Methods & Research, , vol. 23(2), pages 230-257, November.
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    Cited by:

    1. Björn Högberg & Solveig Petersen & Mattias Strandh & Klara Johansson, 2021. "Determinants of Declining School Belonging 2000–2018: The Case of Sweden," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 783-802, September.
    2. Björn Högberg, 2023. "Is There a trade-off Between Achievement and Wellbeing in Education Systems? New cross-country Evidence," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(5), pages 2165-2186, October.

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