Your browser doesn't support javascript.
loading
From asking to observing. Behavioural measures of socio-emotional and motivational skills in large-scale assessments.
Borgonovi, F; Ferrara, A; Piacentini, M.
Afiliación
  • Borgonovi F; Social Research Institute, Institute of Education University College London, United Kingdom; OECD Centre for Skills, Organisation for Economic Cooperation and Development, France. Electronic address: f.borgonovi@ucl.ac.uk.
  • Ferrara A; European University Institute, Italy. Electronic address: Alessandro.Ferrara@eui.eu.
  • Piacentini M; Directorate for Education and Skills, Organisation for Economic Cooperation and Development, France. Electronic address: Mario.Piacentini@oecd.org.
Soc Sci Res ; 112: 102874, 2023 05.
Article en En | MEDLINE | ID: mdl-37061327
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.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Emociones / Motivación Límite: Humans Idioma: En Revista: Soc Sci Res Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Emociones / Motivación Límite: Humans Idioma: En Revista: Soc Sci Res Año: 2023 Tipo del documento: Article