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The OECD’s Programme for International Student Assessment (PISA) Study: A Review of Its Basic Psychometric Concepts

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Data Analysis, Machine Learning and Knowledge Discovery

Abstract

The Programme for International Student Assessment (PISA; e.g., OECD, Sample tasks from the PISA 2000 assessment, 2002a; OECD, Learning for tomorrow’s world: first results from PISA 2003, 2004; OECD, PISA 2006: Science competencies for tomorrow’s world, 2007; OECD, PISA 2009 Technical Report, 2012) is an international large scale assessment study that aims to assess the skills and knowledge of 15-year-old students, and based on the results, to compare education systems across the participating (about 70) countries (with a minimum number of approx. 4,500 tested students per country). Initiator of this Programme is the Organisation for Economic Co-operation and Development (OECD; www.pisa.oecd.org). We review the main methodological techniques of the PISA study. Primarily, we focus on the psychometric procedure applied for scaling items and persons. PISA proficiency scale construction and proficiency levels derived based on discretization of the continua are discussed. For a balanced reflection of the PISA methodology, questions and suggestions on the reproduction of international item parameters, as well as on scoring, classifying and reporting, are raised. We hope that along these lines the PISA analyses can be better understood and evaluated, and if necessary, possibly be improved.

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Correspondence to Ali Ünlü .

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Ünlü, A., Kasper, D., Trendtel, M., Schurig, M. (2014). The OECD’s Programme for International Student Assessment (PISA) Study: A Review of Its Basic Psychometric Concepts. In: Spiliopoulou, M., Schmidt-Thieme, L., Janning, R. (eds) Data Analysis, Machine Learning and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-01595-8_45

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