Skip to content

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 middle income 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.

Author(s): Harry Anthony Patrinos and Noam Angrist, World Bank

Year Published: 2018

Language: English

Country: USA

Download: https://neqmap.bangkok.unesco.org/wp-content/uploads/2021/04/Global-Dataset-on-Education-Quality-review-from-2000-2017.pdf