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From asking to observing. Behavioural measures of socio-emotional and motivational skills in large-scale assessments

Author

Listed:
  • Francesca Borgonovi

    (UCL Social Research Institute, United Kingdom)

  • Alessandro Ferrara

    (Department of Political and Social Sciences, European University Institute, Italy)

  • Mario Piacentini

    (Directorate for Education and Skills, France)

Abstract

Socio-emotional and motivational skills are routinely measured using self-reports in large-scale educational assessments. Measures exploiting test-takers’ behaviour during the completion of questionnaires or cognitive tests are increasingly used as alternatives to self-reports in the economics of education literature. We use cross-sectional and longitudinal evidence to evaluate if behavioural measures can provide unbiased measures of socio-emotional and motivational skills to be used in empirical research using data from the Programme for International Student Assessment (PISA). We find that behavioural measures capture important aspects of students’ academic profiles: some are importantly associated with contemporaneous performance and educational attainment. However, these measures are only limitedly correlated among themselves and have low correlations with self-report measures of the same constructs. Moreover, behavioural measures have different levels of stability over time and sensitivity to design considerations. These results suggest that more research is needed before measures of students’ behaviour on a cognitive test can be used as valid indicators of socio-emotional and motivational skills.

Suggested Citation

  • Francesca Borgonovi & Alessandro Ferrara & Mario Piacentini, 2020. "From asking to observing. Behavioural measures of socio-emotional and motivational skills in large-scale assessments," DoQSS Working Papers 20-19, Quantitative Social Science - UCL Social Research Institute, University College London.
    • Handle: RePEc:qss:dqsswp:2019
    as

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    References listed on IDEAS

    as
    1. Falk, Armin & Hermle, Johannes, 2018. "Relationship of Gender Differences in Preferences to Economic Development and Gender Equality," IZA Discussion Papers 12059, Institute of Labor Economics (IZA).
    2. Uri Gneezy & John A. List & Jeffrey A. Livingston & Xiangdong Qin & Sally Sadoff & Yang Xu, 2019. "Measuring Success in Education: The Role of Effort on the Test Itself," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 291-308, December.
    3. Tim Kautz & James J. Heckman & Ron Diris & Bas ter Weel & Lex Borghans, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-cognitive Skills to Promote Lifetime Success," OECD Education Working Papers 110, OECD Publishing.
    4. Pau Balart & Matthijs Oosterveen, 2019. "Females show more sustained performance during test-taking than males," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    5. Simon Breakspear, 2012. "The Policy Impact of PISA: An Exploration of the Normative Effects of International Benchmarking in School System Performance," OECD Education Working Papers 71, OECD Publishing.
    6. Brunello, Giorgio & Crema, Angela & Rocco, Lorenzo, 2018. "Testing at Length If It Is Cognitive or Non-Cognitive," IZA Discussion Papers 11603, Institute of Labor Economics (IZA).
    7. Jeffrey Mo, 2017. "Collaborative problem solving," PISA in Focus 78, OECD Publishing.
    8. Pelin Akyol & Kala Krishna & Jinwen Wang, 2021. "Taking PISA Seriously: How Accurate are Low-Stakes Exams?," Journal of Labor Research, Springer, vol. 42(2), pages 184-243, June.
    9. Miloš Kankaraš, 2017. "Personality matters: Relevance and assessment of personality characteristics," OECD Education Working Papers 157, OECD Publishing.
    10. Trivitt, Julie & Cheng, Albert, 2016. "When you say nothing at all: The predictive power of student effort on surveysAuthor-Name: Hitt, Collin," Economics of Education Review, Elsevier, vol. 52(C), pages 105-119.
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    More about this item

    Keywords

    Socio-emotional and motivational skills; cross-country; PISA; large-scale assessments; behavioural measures; self-reports; education.;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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