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Driven to succeed? Teenagers' drive, ambition and performance on high-stakes examinations

Author

Listed:
  • John Jerrim

    (Department of Social Science, UCL Institute of Education, University College London)

  • Nikki Shure

    (Department of Social Science, UCL Institute of Education, University College London)

  • Gill Wyness

    (Centre for Education Policy and Equalising Opportunities, UCL Institute of Education, University College London)

Abstract

There has been much interest across the social sciences in the link between young people's socio- emotional (non-cognitive) skills and their educational achievement. But much of this research has focused upon the role of the Big Five personality traits. This paper contributes new evidence by examining two inter-related non-cognitive factors that are rarely studied in the literature: ambition and drive. We use unique survey-administrative linked data from England, gathered in the lead-up to high-stakes compulsory school exams, which allow us to control for a rich set of background characteristics, prior educational attainment and, unusually, school fixed effects. Our results illustrate substantial gender and immigrant gaps in young people's ambitiousness, while the evidence for socio-economic differences is more mixed. Conversely, we find a strong socio-economic gradient in drive, but no gender gap. Both academically ambitious and driven teenagers achieve grades around 0.36 standard deviations above their peers, even controlling for prior academic attainment and school attended.

Suggested Citation

  • John Jerrim & Nikki Shure & Gill Wyness, 2020. "Driven to succeed? Teenagers' drive, ambition and performance on high-stakes examinations," CEPEO Working Paper Series 20-13, UCL Centre for Education Policy and Equalising Opportunities, revised Jul 2020.
  • Handle: RePEc:ucl:cepeow:20-13
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    References listed on IDEAS

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    1. Haroon Chowdry & Claire Crawford & Lorraine Dearden & Alissa Goodman & Anna Vignoles, 2013. "Widening participation in higher education: analysis using linked administrative data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 431-457, February.
    2. Jerrim, John & Lopez-Agudo, Luis Alejandro & Marcenaro-Gutierrez, Oscar D. & Shure, Nikki, 2017. "What happens when econometrics and psychometrics collide? An example using the PISA data," Economics of Education Review, Elsevier, vol. 61(C), pages 51-58.
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    Cited by:

    1. Adamecz-Völgyi, Anna & Henderson, Morag & Shure, Nikki, 2021. "Intergenerational Educational Mobility – The Role of Non-cognitive Skills," IZA Discussion Papers 14580, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    socio-economic gaps; gender gaps; aspirations; secondary school; higher education;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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