Global Data Set on Education Quality (1965-2015)
This paper presents the largest globally comparable panel database of education quality. The database includes 163 countries and regions over 1965-2015. The globally comparable achievement outcomes were constructed by linking standardized, psychome...
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World Bank, Washington, DC
2018
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| Online Access: | http://documents.worldbank.org/curated/en/706141516721172989/Global-data-set-on-education-quality-1965-2015 http://hdl.handle.net/10986/29281 |
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okr-10986-292812021-06-14T10:07:44Z Global Data Set on Education Quality (1965-2015) Altinok, Nadir Angrist, Noam Patrinos, Harry Anthony EDUCATION QUALITY HUMAN CAPITAL STUDENT ACHIEVEMENT PISA TIMSS SACMEQ PASEC LLECE GENDER This paper presents the largest globally comparable panel database of education quality. The database includes 163 countries and regions over 1965-2015. The globally comparable achievement outcomes were constructed by linking standardized, psychometrically-robust international and regional achievement tests. The paper contributes to the literature in the following ways: (1) it is the largest and most current globally comparable data set, covering more than 90 percent of the global population; (2) the data set includes 100 developing areas and the most developing countries included in such a data set to date -- the countries that have the most to gain from the potential benefits of a high-quality education; (3) the data set contains credible measures of globally comparable achievement distributions as well as mean scores; (4) the data set uses multiple methods to link assessments, including mean and percentile linking methods, thus enhancing the robustness of the data set; (5) the data set includes the standard errors for the estimates, enabling explicit quantification of the degree of reliability of each estimate; and (6) the data set can be disaggregated across gender, socioeconomic status, rural/urban, language, and immigration status, thus enabling greater precision and equity analysis. A first analysis of the data set reveals a few important trends: learning outcomes in developing countries are often clustered at the bottom of the global scale; although variation in performance is high in developing countries, the top performers still often perform worse than the bottom performers in developed countries; gender gaps are relatively small, with high variation in the direction of the gap; and distributions reveal meaningfully different trends than mean scores, with less than 50 percent of students reaching the global minimum threshold of proficiency in developing countries relative to 86 percent in developed countries. The paper also finds a positive and significant association between educational achievement and economic growth. The data set can be used to benchmark global progress on education quality, as well as to uncover potential drivers of education quality, growth, and development. 2018-01-31T19:38:41Z 2018-01-31T19:38:41Z 2018-01 Working Paper http://documents.worldbank.org/curated/en/706141516721172989/Global-data-set-on-education-quality-1965-2015 http://hdl.handle.net/10986/29281 English Policy Research Working Paper;No. 8314 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
EDUCATION QUALITY HUMAN CAPITAL STUDENT ACHIEVEMENT PISA TIMSS SACMEQ PASEC LLECE GENDER |
| spellingShingle |
EDUCATION QUALITY HUMAN CAPITAL STUDENT ACHIEVEMENT PISA TIMSS SACMEQ PASEC LLECE GENDER Altinok, Nadir Angrist, Noam Patrinos, Harry Anthony Global Data Set on Education Quality (1965-2015) |
| relation |
Policy Research Working Paper;No. 8314 |
| description |
This paper presents the largest globally
comparable panel database of education quality. The database
includes 163 countries and regions over 1965-2015. The
globally comparable achievement outcomes were constructed by
linking standardized, psychometrically-robust international
and regional achievement tests. The paper contributes to the
literature in the following ways: (1) it is the largest and
most current globally comparable data set, covering more
than 90 percent of the global population; (2) the data set
includes 100 developing areas and the most developing
countries included in such a data set to date -- the
countries that have the most to gain from the potential
benefits of a high-quality education; (3) the data set
contains credible measures of globally comparable
achievement distributions as well as mean scores; (4) the
data set uses multiple methods to link assessments,
including mean and percentile linking methods, thus
enhancing the robustness of the data set; (5) the data set
includes the standard errors for the estimates, enabling
explicit quantification of the degree of reliability of each
estimate; and (6) the data set can be disaggregated across
gender, socioeconomic status, rural/urban, language, and
immigration status, thus enabling greater precision and
equity analysis. A first analysis of the data set reveals a
few important trends: learning outcomes in developing
countries are often clustered at the bottom of the global
scale; although variation in performance is high in
developing countries, the top performers still often perform
worse than the bottom performers in developed countries;
gender gaps are relatively small, with high variation in the
direction of the gap; and distributions reveal meaningfully
different trends than mean scores, with less than 50 percent
of students reaching the global minimum threshold of
proficiency in developing countries relative to 86 percent
in developed countries. The paper also finds a positive and
significant association between educational achievement and
economic growth. The data set can be used to benchmark
global progress on education quality, as well as to uncover
potential drivers of education quality, growth, and development. |
| format |
Working Paper |
| author |
Altinok, Nadir Angrist, Noam Patrinos, Harry Anthony |
| author_facet |
Altinok, Nadir Angrist, Noam Patrinos, Harry Anthony |
| author_sort |
Altinok, Nadir |
| title |
Global Data Set on Education Quality (1965-2015) |
| title_short |
Global Data Set on Education Quality (1965-2015) |
| title_full |
Global Data Set on Education Quality (1965-2015) |
| title_fullStr |
Global Data Set on Education Quality (1965-2015) |
| title_full_unstemmed |
Global Data Set on Education Quality (1965-2015) |
| title_sort |
global data set on education quality (1965-2015) |
| publisher |
World Bank, Washington, DC |
| publishDate |
2018 |
| url |
http://documents.worldbank.org/curated/en/706141516721172989/Global-data-set-on-education-quality-1965-2015 http://hdl.handle.net/10986/29281 |
| _version_ |
1764468952937791488 |