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The relationship between high-stakes assessments and anxiety: Consequences for academic performance

Author

Listed:
  • Natalia Oliete

    (University of Zaragoza)

  • Javier Valbuena

    (University of Zaragoza)

  • Ã lvaro Choi

    (University of Barcelona)

Abstract

The use of high-stakes assessments has become widespread in educational systems. While they can potentially boost student achievement, they may also increase anxiety levels, which could negatively affect their academic performance. These effects might not be uniform, varying across schools and among distinct student profiles. In this paper we examine the relationship between anxiety and performance and investigate how high-stakes assessments influence students' anxiety levels and academic outcomes. We conduct our analysis at the average level and by several individual characteristics, estimating a series of models using data from an international sample of countries. This allows us to shed new light on the winners and losers of the policy, and to get a deeper understanding of the role of anxiety. The study provides first international evidence by exploiting novel cross-country information on high-stakes testing. Our results extend previous research by revealing a strong negative correlation between student anxiety and academic performance, regardless of whether the country implements high-stakes testing. Furthermore, the heterogeneity analysis by socioeconomic level indicates that students from more advantaged socioeconomic backgrounds exhibit a stronger negative association between anxiety and performance.

Suggested Citation

  • Natalia Oliete & Javier Valbuena & Ã lvaro Choi, 2025. "The relationship between high-stakes assessments and anxiety: Consequences for academic performance," UB School of Economics Working Papers 2025/494, University of Barcelona School of Economics.
  • Handle: RePEc:ewp:wpaper:494web
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    File URL: https://hdl.handle.net/2445/225078
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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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