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Making Education Count for Development

Data Collection and Availability in Six PISA for Development Countries

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This report reviews the collection, availability and quality of system-level data and metadata on education from countries participating in the PISA for Development project: Cambodia, Ecuador, Guatemala, Paraguay, Senegal and Zambia. PISA for Development aims to increase low income countries’ use of PISA assessments for monitoring progress towards national goals for improving education and for analysing the factors associated with student learning outcomes, particularly among poor and marginalised populations. The project also helps track progress towards the international education targets defined in the Education 2030 Framework for Action, which the international community adopted in 2015 as the strategy for achieving the Education Sustainable Development Goal (SDG).

The report suggests technically sound and viable options for improving data quality, completeness and international comparability in the six countries that are reviewed. It also provides insights into overcoming some of the challenges common to countries that participate in PISA for Development and to other middle income and low income countries.

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Making the PISA for Development system-level questionnaire easier to use

This chapter describes the contextual variables of a country’s education system that PISA uses to analyse and interpret the results of the student assessment. These variables are collected through a system-level questionnaire, and the chapter explains how the questionnaire has been adapted for use by PISA for Development (PISA-D) countries. It goes on to describe the nine worksheets of the questionnaire and the variables collected, and it presents suggestions on methodological issues and improving the data collection in each worksheet. The chapter concludes with the finding that most of the variables included in the system-level questionnaire have partial or total concordance with data that are included in current UIS data collection. Hence, to avoid duplicating efforts by PISA-D countries, parts of the questionnaire could be modified to avoid burdening countries with soliciting data that are already available at the international level.

English

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