对与PISA阅读成绩相关的社会经济因素的调查

Orchee Haque, Sophie Hoyer, S. Huynh, Sraddha Uppili
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摘要

识字是一项基本技能,对现代社会的日常生活至关重要。联合国可持续发展目标4.6强调了它的重要性,该目标旨在到2030年“确保所有青年和相当比例的成年人,无论男女,都能识字和计算”。这项研究利用人类发展指数的指标来确定与一个国家青年识字率最相关的社会经济因素,这是通过国际评估项目(PISA)识字率部分的分数来衡量的。我们研究了国家PISA阅读测试分数与九个社会经济因素之间的关系:一个国家的平均受教育年限、小学入学率、中学入学率、国内生产总值(GDP)、人均GDP、政府教育支出、预期寿命、婴儿死亡率和总人口。该研究收集了80多个国家2000年至2018年的三年期数据,并使用简单的线性回归模型按年分析。结合使用Google Sheets、Microsoft Excel和Python库来分析识字率与我们选择的社会经济因素之间的关系,以确定哪些因素与青年识字率相关性最强。我们的结果使用R2和Pearson相关系数值进行解释。从这些结果中,我们得出结论,婴儿死亡率、平均受教育年限和预期寿命与PISA测试成绩的相关性最强,这表明一个国家的医疗体系的实力与其教育质量高度相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation into the socioeconomic factors correlated with PISA reading scores
Literacy is a fundamental skill that is essential to navigate daily life in modern society. Its importance is emphasized by Target 4.6 of the United Nations Sustainable Development Goals, which aims to “ensure that all youth and a substantial proportion of adults, both men and women, achieve literacy and numeracy” by 2030. This study utilized indicators of the Human Development Index to determine the socioeconomic factors most correlated to a country’s youth literacy rates, as measured by its score on the literacy section of the Programme for International Assessment (PISA). We examined the relationship between national PISA reading test scores and nine socioeconomic factors: a country’s mean years of schooling, primary school enrollment, secondary school enrollment, gross domestic product (GDP), GDP per capita, government spending on education, life expectancy, infant mortality, and total population. Triennial data spanning from 2000 to 2018 was gathered for over 80 countries and analyzed by year using simple linear regression models. A combination of Google Sheets, Microsoft Excel, and Python libraries was used to analyze the relationship between literacy and our chosen socioeconomic factors to determine which of the factors were most strongly correlated with youth literacy rates. Our results were interpreted using R2 and Pearson correlation coefficient values. From these results, we concluded that infant mortality, mean years of schooling, and life expectancy exhibit the strongest correlations with PISA test scores, suggesting that the strength of a country’s healthcare system is highly orrelated with its quality of education.
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