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Global Dataset on Education Quality : A Review and Update (2000-2017) (English)

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.

Details

  • Author

    Patrinos,Harry Anthony, Angrist,Noam

  • Document Date

    2018/09/27

  • Document Type

    Policy Research Working Paper

  • Report Number

    WPS8592

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    World,

  • Region

    The World Region,

  • Disclosure Date

    2018/09/27

  • Disclosure Status

    Disclosed

  • Doc Name

    Global Dataset on Education Quality : A Review and Update (2000-2017)

  • Keywords

    Human Capital and Economic Growth; changing nature of work; World Bank Economic Review; conversion factor; measure of uncertainty; reading comprehension; language of instruction; human capital formation; economics of education; schooling level; years of schooling; availability of data; test score; Education Quality; basic literacy skill; human capital accumulation; primary school level; fixed exchange rate; return to education; quality of education; longitudinal panel data; item response theory; measure literacy skill; degree of confidence; wealth of nation; task order; quality of data; human capital development; average test score; standard deviation; reading fluency; conversion rate; data availability; early grade; international assessment; test item; cognitive skill; regional assessment; robustness check; international scale; global scale; standard error; secondary level; educational research; educational measurement; primary level; global population; internationally comparable; learning assessment; literacy assessment; regional grouping; measurement error; aggregate data; maximum likelihood; data coverage; methodological approach; rank correlation; score distribution; international study; relative performance; estimation method; accurate reflection; student progress; sensitivity analysis; empirical result; participation rate; enrollment rate; multiple grade; learning trajectory; average result; achievement gap; mathematics achievement; educational development; policy option; early literacy; school psychology; educational psychology; sustainable future; indian states; educational assessment; educational evaluation; population characteristic; sparse matrix; assessment data; international trends; interdisciplinary research; individual assessment; high performance; performance gap; science score; reading score; correlation coefficient; academic demand; quality education; Learning and Innovation Credit; longitudinal data; average score; consistent estimate; causal link; important policy; education data; partner country; educational quality; schooling year; schooling quality; longitudinal analysis; continuous measure; global effort; high correlation; cross-country comparison; empirical literature; reading skill; common feature; core modules; confidence interval; global initiative; educational progress; standardized assessment; international student; development policy; open access

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Citation

Patrinos,Harry Anthony Angrist,Noam

Global Dataset on Education Quality : A Review and Update (2000-2017) (English). Policy Research working paper,no. WPS 8592 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/390321538076747773/Global-Dataset-on-Education-Quality-A-Review-and-Update-2000-2017