The “Programme for international Student Assessment” (PISA) survey, carried out by the Organization of Economic Cooperation and Development (OECD) three-yearly, is a rigorous and wide international comparative work on fifteen year-old students’ school performance. The survey makes use of very advanced methodologies and allows both to evaluate the students’ performance and to gather data about their families and their socio-economic context which, together with several institutional factors, may influence the results of the educational process. This work aims at drawing attention to the great informative importance of PISA’s data through some characteristic aspects based on the quality of the statistical information obtained. The attention has been particularly focused on the presence of missing data and on their impact on the general economy of the survey. Besides the authors, analysing the Italian side of PISA 2003, try to find out possible latent dynamics which characterize the missing answer, in order to outline the possible strategies to improve the overall quality of the survey to the highest degree.

Un approccio analitico alla qualità dei dati del “Programme for international Student Assessment” dell’OECD

QUINTANO C;
2006

Abstract

The “Programme for international Student Assessment” (PISA) survey, carried out by the Organization of Economic Cooperation and Development (OECD) three-yearly, is a rigorous and wide international comparative work on fifteen year-old students’ school performance. The survey makes use of very advanced methodologies and allows both to evaluate the students’ performance and to gather data about their families and their socio-economic context which, together with several institutional factors, may influence the results of the educational process. This work aims at drawing attention to the great informative importance of PISA’s data through some characteristic aspects based on the quality of the statistical information obtained. The attention has been particularly focused on the presence of missing data and on their impact on the general economy of the survey. Besides the authors, analysing the Italian side of PISA 2003, try to find out possible latent dynamics which characterize the missing answer, in order to outline the possible strategies to improve the overall quality of the survey to the highest degree.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12570/17630
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