Global Dataset on Education Quality : A Review and Update (2000-2017)
This paper presents the most expansive and current cross-country dataset on education quality. The database includes 164 countries/territories covering over 98 percent of the global population from 2000-2017. Of these countries, 111 are low or midd...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2018
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/390321538076747773/The-effect-of-immigration-on-natives-school-achievement-does-length-of-stay-in-the-host-country-matter http://hdl.handle.net/10986/30465 |
| Summary: | This paper presents the most expansive
and current cross-country dataset on education quality. The
database includes 164 countries/territories covering over 98
percent of the global population from 2000-2017. Of these
countries, 111 are low or middleincome economies. Harmonized
learning outcomes are produced using a conversion factor to
compare international and regional standardized achievement
tests. These tests include PISA, TIMSS, PIRLS, SACMEQ, LLECE
and PASEC. In addition, this paper includes the Early Grade
Reading Assessment (EGRA) for the first time. This enables
extension of the database substantially. This methodological
update paves the way to include a series of assessments that
are increasingly common in developing countries that are
often excluded from large international assessments. The
database includes mean scores and disaggregates the data by
subject, level, and gender. This paper further presents a
series of methodological improvements including measures of
uncertainty, fixed conversion factors for greater
comparability over time and year-by-year data. |
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