{"title":"社会经济地位和幸福作为学生学业成绩的预测因素:来自发展中国家的证据","authors":"Cahit Erdem, Metin Kaya","doi":"10.1017/jgc.2021.10","DOIUrl":null,"url":null,"abstract":"\n The COVID-19 pandemic has deepened the effects of socioeconomic status (SES) and wellbeing (WB) on students’ academic achievement, particularly in developing countries; thus, it becomes necessary to understand the nature of these concurrent relationships. This study aimed to explore the relationships between SES, WB and academic achievement, based on the data from the Programme for International Student Assessment (PISA) in 2018 within the Turkish context. In this cross-sectional study, we used hierarchical multiple linear regression analysis to explore how the independent variables predicted academic achievement in blocks based on data from 6890 students attending 186 schools. The study revealed that the model, including the independent variables, predicted students’ achievement in reading, mathematics and science; however, the prediction level of demographic factors and domains of WB were very low, while SES had the highest prediction level. The results offer insights into the predictors of academic achievement and educational inequalities in the context of a developing country.","PeriodicalId":43505,"journal":{"name":"Journal of Psychologists and Counsellors in Schools","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jgc.2021.10","citationCount":"13","resultStr":"{\"title\":\"Socioeconomic status and wellbeing as predictors of students’ academic achievement: evidence from a developing country\",\"authors\":\"Cahit Erdem, Metin Kaya\",\"doi\":\"10.1017/jgc.2021.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The COVID-19 pandemic has deepened the effects of socioeconomic status (SES) and wellbeing (WB) on students’ academic achievement, particularly in developing countries; thus, it becomes necessary to understand the nature of these concurrent relationships. This study aimed to explore the relationships between SES, WB and academic achievement, based on the data from the Programme for International Student Assessment (PISA) in 2018 within the Turkish context. In this cross-sectional study, we used hierarchical multiple linear regression analysis to explore how the independent variables predicted academic achievement in blocks based on data from 6890 students attending 186 schools. The study revealed that the model, including the independent variables, predicted students’ achievement in reading, mathematics and science; however, the prediction level of demographic factors and domains of WB were very low, while SES had the highest prediction level. The results offer insights into the predictors of academic achievement and educational inequalities in the context of a developing country.\",\"PeriodicalId\":43505,\"journal\":{\"name\":\"Journal of Psychologists and Counsellors in Schools\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2021-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1017/jgc.2021.10\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Psychologists and Counsellors in Schools\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1017/jgc.2021.10\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Psychologists and Counsellors in Schools","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1017/jgc.2021.10","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Socioeconomic status and wellbeing as predictors of students’ academic achievement: evidence from a developing country
The COVID-19 pandemic has deepened the effects of socioeconomic status (SES) and wellbeing (WB) on students’ academic achievement, particularly in developing countries; thus, it becomes necessary to understand the nature of these concurrent relationships. This study aimed to explore the relationships between SES, WB and academic achievement, based on the data from the Programme for International Student Assessment (PISA) in 2018 within the Turkish context. In this cross-sectional study, we used hierarchical multiple linear regression analysis to explore how the independent variables predicted academic achievement in blocks based on data from 6890 students attending 186 schools. The study revealed that the model, including the independent variables, predicted students’ achievement in reading, mathematics and science; however, the prediction level of demographic factors and domains of WB were very low, while SES had the highest prediction level. The results offer insights into the predictors of academic achievement and educational inequalities in the context of a developing country.
期刊介绍:
Contributors to the Journal of Psychologists and Counsellors in Schools are from diverse backgrounds and focus on both educational and psychological topics. Articles address theoretical, practical and training issues that impact upon guidance and counselling professionals today.