Study on Structural Relationships among the Factors Affecting Happiness of Adolescent in OECD Countries: Application of QCA Method

Young-Chool Choi, Ji-Hyun Jang
{"title":"Study on Structural Relationships among the Factors Affecting Happiness of Adolescent in OECD Countries: Application of QCA Method","authors":"Young-Chool Choi, Ji-Hyun Jang","doi":"10.9734/bpi/mplle/v7/11183d","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to investigate the causal relationships among the key educational factors that affect adolescent happiness and to propose policy implications for OECD countries to increase their levels of adolescent happiness. The HSBC score of adolescent happiness in OECD countries was chosen as an indicator, and a number of independent variables such as per capita GDP and per capita educational expenditure amount were included in the subject of analysis. For the analysis, the QCA (Qualitative Comparative Analysis) method was used. The use of QCA has been rarely reported in adolescents’ happiness studies, and are likely to be conceptual and paradigmatic challenges to its adoption in some settings. According to the findings, there are three key factors that contribute to adolescents' high levels of happiness in OECD nations: TEPC*GDP*PUPTEA, tee*GDP*PRIVATEXP, and tee*tepc*gdp*privatexp. In other words, while a number of further steps are required to produce a more parsimonious formulation, the solution in this study suggests six configurations and three prime implicants. The first prime implicant is TEPC(high total per capita expenditure on education)*GDP(high per capita gdp)*PUPTEA(high ratio of students to teaching staff). The second implicant is tee(low total expenditure on education)*GDP(high per capita gdp)*PRIVATEXP(high ratio of private source expenditure on education to gdp). Finally, the third implicant is tee(low total expenditure on education)*tepc(low total per capita expenditure on education)*gdp(low per capita gdp)*privatexp(low ratio of private source expenditure on education to gdp). It is crucial to emphasise that the data reported in this research are simply illustrative and should be examined in a broader context.Alternative causal configurations are acceptable for the complexity of adolescents' happiness, rather than being a limitation of QCA.","PeriodicalId":298712,"journal":{"name":"Modern Perspectives in Language, Literature and Education Vol. 7","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modern Perspectives in Language, Literature and Education Vol. 7","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/bpi/mplle/v7/11183d","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of this study is to investigate the causal relationships among the key educational factors that affect adolescent happiness and to propose policy implications for OECD countries to increase their levels of adolescent happiness. The HSBC score of adolescent happiness in OECD countries was chosen as an indicator, and a number of independent variables such as per capita GDP and per capita educational expenditure amount were included in the subject of analysis. For the analysis, the QCA (Qualitative Comparative Analysis) method was used. The use of QCA has been rarely reported in adolescents’ happiness studies, and are likely to be conceptual and paradigmatic challenges to its adoption in some settings. According to the findings, there are three key factors that contribute to adolescents' high levels of happiness in OECD nations: TEPC*GDP*PUPTEA, tee*GDP*PRIVATEXP, and tee*tepc*gdp*privatexp. In other words, while a number of further steps are required to produce a more parsimonious formulation, the solution in this study suggests six configurations and three prime implicants. The first prime implicant is TEPC(high total per capita expenditure on education)*GDP(high per capita gdp)*PUPTEA(high ratio of students to teaching staff). The second implicant is tee(low total expenditure on education)*GDP(high per capita gdp)*PRIVATEXP(high ratio of private source expenditure on education to gdp). Finally, the third implicant is tee(low total expenditure on education)*tepc(low total per capita expenditure on education)*gdp(low per capita gdp)*privatexp(low ratio of private source expenditure on education to gdp). It is crucial to emphasise that the data reported in this research are simply illustrative and should be examined in a broader context.Alternative causal configurations are acceptable for the complexity of adolescents' happiness, rather than being a limitation of QCA.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
OECD国家青少年幸福感影响因素的结构关系研究:QCA方法的应用
本研究的目的是探讨影响青少年幸福感的主要教育因素之间的因果关系,并为经合组织国家提高青少年幸福感水平提出政策建议。以OECD国家的HSBC青少年幸福指数为指标,将人均国内生产总值(GDP)、人均教育支出额等自变量纳入分析对象。分析采用QCA (Qualitative Comparative analysis)方法。QCA的使用在青少年幸福研究中很少有报道,在某些情况下,它的采用可能是概念性和范式性的挑战。根据研究结果,有三个关键因素有助于OECD国家青少年的高幸福水平:TEPC*GDP*PUPTEA, tee*GDP*PRIVATEXP和tee* TEPC*GDP* PRIVATEXP。换句话说,虽然需要许多进一步的步骤来产生一个更简洁的公式,但本研究中的解决方案提出了六种配置和三种主要含义。第一个主要含义是TEPC(高人均教育总支出)*GDP(高人均国内生产总值)*PUPTEA(高学生与教师的比例)。第二个含义是tee(教育总支出低)*GDP(人均GDP高)*PRIVATEXP(私人来源的教育支出占GDP的比例高)。最后,第三个含义是tee(教育总支出低)*tepc(人均教育总支出低)*gdp(人均gdp低)*privatexp(私人来源的教育支出占gdp的比例低)。必须强调的是,本研究中报告的数据只是说明性的,应该在更广泛的背景下进行检查。对于青少年幸福的复杂性,替代的因果配置是可以接受的,而不是QCA的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study on Structural Relationships among the Factors Affecting Happiness of Adolescent in OECD Countries: Application of QCA Method Psychological Factors Influencing Academic Achievement among Secondary School Students in Shamva District of Mashonaland Central Province in Zimbabwe: A Recent Study Determination of Habits of Mind and their Relationship with Creativity among Students of Excellent Academic Achievement at Qatar University during the COVID-19 Crisis Implementation of Computer-Supported Collaborative Learning in Secondary Education: A Crossectional Study Predicting Developmental Degrees of Music Expression in Early Childhood by Machine Learning Classifiers with 3D Motion Captured Body Movement Data: A Recent Study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1