An Extended Dataset of Educational Quality Across Countries (1970–2023)

This study presents an extended dataset on educational quality covering 101 countries, from 1970 to 2023. While existing international assessments, such as the Programme for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS), offer valuable snapshots of student performance, their limited coverage across countries and years constrains broader analyses. To address this limitation, we harmonized observed test scores across assessments and imputed missing values using both linear interpolation and machine learning (Least Absolute Shrinkage and Selection Operator (LASSO) regression). The dataset included (i) harmonized test scores for 15 year olds, (ii) annual educational quality indicators for the 15–19 age group, and (iii) educational quality indexes for the working-age population (15–64). These measures are provided in machine-readable formats and support empirical research on human capital, economic development, and global education inequalities across economies.

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Published
2025-08-15
DOI
https://doi.org/10.3390/data10080130
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Machine Learning in Healthcare
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article

An Extended Dataset of Educational Quality Across Countries (1970–2023)

Jong‐Wha Lee, Hanol Lee
Data
Machine Learning in Healthcare
article

An Extended Dataset of Educational Quality Across Countries (1970–2023)

Jong‐Wha Lee, Hanol Lee
article en

Abstract

This study presents an extended dataset on educational quality covering 101 countries, from 1970 to 2023. While existing international assessments, such as the Programme for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS), offer valuable snapshots of student performance, their limited coverage across countries and years constrains broader analyses. To address this limitation, we harmonized observed test scores across assessments and imputed missing values using both linear interpolation and machine learning (Least Absolute Shrinkage and Selection Operator (LASSO) regression). The dataset included (i) harmonized test scores for 15 year olds, (ii) annual educational quality indicators for the 15–19 age group, and (iii) educational quality indexes for the working-age population (15–64). These measures are provided in machine-readable formats and support empirical research on human capital, economic development, and global education inequalities across economies.

DataVol. 10(8)
Korea University (KR), Southwestern University of Finance and Economics (CN), Institute of Economics (CN), Korea University (JP)
Openalex Percentile: Top 89%
Machine Learning in Healthcare
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An Extended Dataset of Educational Quality Across Countries (1970–2023) — Jong‐Wha Lee, Hanol Lee · Data (2025) | TGRS Research Map | TGRS