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  • 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 compute behavioural measures of socio-emotional and motivational skills using data from the Programme for International Student Assessment (PISA). We find that these measures capture important aspects of students' academic profiles: some are importantly associated with contemporaneous performance and educational attainment and most measures have a high degree of stability over time. However, these measures are only limitedly correlated among themselves and have low correlations with self-report measures of the same constructs. This is likely a reflection of the fact that behavioural measures are representations of the test taker current ‘state’, rather than descriptions of the participant view of their own ‘trait’ like the self-report measures. Moreover, the low correlation across measures suggests that they capture different behavioural responses to the test-taking situation. These differences are still limitedly understood because the measures are constructed ex-post using collateral information collected during the administration of assessments rather than developed ex ante in line with theoretical models of human cognition and affect. (xsd:string)
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  • 2023 (xsd:gyear)
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  • 2023 (xsd:gyear)
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  • 10.1016/j.ssresearch.2023.102874 ()
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  • From asking to observing. Behavioural measures of socio-emotional and motivational skills in large-scale assessments (xsd:string)
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  • In Social Science Research, 112, 1-18, 2023 (xsd:string)
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  • 112 (xsd:string)