Orchee Haque, Sophie Hoyer, S. Huynh, Sraddha Uppili
{"title":"对与PISA阅读成绩相关的社会经济因素的调查","authors":"Orchee Haque, Sophie Hoyer, S. Huynh, Sraddha Uppili","doi":"10.17975/sfj-2022-012","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An investigation into the socioeconomic factors correlated with PISA reading scores\",\"authors\":\"Orchee Haque, Sophie Hoyer, S. Huynh, Sraddha Uppili\",\"doi\":\"10.17975/sfj-2022-012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":268438,\"journal\":{\"name\":\"STEM Fellowship Journal\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"STEM Fellowship Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17975/sfj-2022-012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"STEM Fellowship Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17975/sfj-2022-012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.