通过决策树分析确定影响大学生幸福感水平的因素

Şeyda Demirel Tatlı, Selay GİRAY YAKUT
{"title":"通过决策树分析确定影响大学生幸福感水平的因素","authors":"Şeyda Demirel Tatlı, Selay GİRAY YAKUT","doi":"10.26809/joa.2358","DOIUrl":null,"url":null,"abstract":"Throughout history, happiness has been a pivotal subject of study, often analyzed within the context of life quality. The notion of life quality includes various elements such as environmental conditions, family dynamics, health status, and income levels, each playing a significant role in shaping an individual's perspective on life and, consequently, their happiness. This research delves into the happiness of university students, a demographic that holds immense significance for the future of our nation.In the realm of academic studies focusing on the factors influencing the happiness levels of university students, methodologies such as factor analysis, regression analysis, correlation analysis, and logistic regression have been prevalently utilized. Nevertheless, this particular study distinguishes itself by employing decision tree methods, specifically the CART and CHAID algorithms, noted for their effectiveness in the analysis of extensive datasets. The research is based on primary data, gathered through face-to-face surveys conducted with students from Marmara University. The sample size, consisting of 600 participants, was ascertained using specially developed tables, and the Convenience Sampling method was employed in the design of the sample. Within the scope of this study, a total of 559 consistent data points, devoid of any missing observations, were subjected to analysis. The research initially investigates the correlation between the socio-demographic characteristics of the students and their levels of happiness. Subsequently, the applications of the CART and CHAID algorithms were executed using the SPSS software, focusing on two distinct dependent variables. The outcomes of this study indicate that socio-demographic elements, particularly factors such as income, age, and the occupations of the parents, exert a substantial influence on the happiness levels of individuals. Moreover, the study discerns a gender-based discrepancy in the primary sources of happiness, with love being predominant among women and success among men.","PeriodicalId":517207,"journal":{"name":"JOURNAL OF AWARENESS","volume":"27 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determination of factors affecting university students’ happiness levels through decision trees analysis\",\"authors\":\"Şeyda Demirel Tatlı, Selay GİRAY YAKUT\",\"doi\":\"10.26809/joa.2358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Throughout history, happiness has been a pivotal subject of study, often analyzed within the context of life quality. The notion of life quality includes various elements such as environmental conditions, family dynamics, health status, and income levels, each playing a significant role in shaping an individual's perspective on life and, consequently, their happiness. This research delves into the happiness of university students, a demographic that holds immense significance for the future of our nation.In the realm of academic studies focusing on the factors influencing the happiness levels of university students, methodologies such as factor analysis, regression analysis, correlation analysis, and logistic regression have been prevalently utilized. Nevertheless, this particular study distinguishes itself by employing decision tree methods, specifically the CART and CHAID algorithms, noted for their effectiveness in the analysis of extensive datasets. The research is based on primary data, gathered through face-to-face surveys conducted with students from Marmara University. The sample size, consisting of 600 participants, was ascertained using specially developed tables, and the Convenience Sampling method was employed in the design of the sample. Within the scope of this study, a total of 559 consistent data points, devoid of any missing observations, were subjected to analysis. The research initially investigates the correlation between the socio-demographic characteristics of the students and their levels of happiness. Subsequently, the applications of the CART and CHAID algorithms were executed using the SPSS software, focusing on two distinct dependent variables. The outcomes of this study indicate that socio-demographic elements, particularly factors such as income, age, and the occupations of the parents, exert a substantial influence on the happiness levels of individuals. Moreover, the study discerns a gender-based discrepancy in the primary sources of happiness, with love being predominant among women and success among men.\",\"PeriodicalId\":517207,\"journal\":{\"name\":\"JOURNAL OF AWARENESS\",\"volume\":\"27 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF AWARENESS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26809/joa.2358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF AWARENESS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26809/joa.2358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

纵观历史,幸福一直是一个重要的研究课题,通常在生活质量的背景下进行分析。生活质量的概念包括各种要素,如环境条件、家庭动态、健康状况和收入水平,每一个要素都在塑造个人的生活观,进而影响其幸福感方面发挥着重要作用。本研究深入探讨了大学生这一对我们国家的未来具有重大意义的人群的幸福感。在以影响大学生幸福感水平的因素为重点的学术研究领域,普遍采用了因子分析、回归分析、相关分析和逻辑回归等方法。然而,本研究采用的决策树方法,特别是 CART 和 CHAID 算法,因其在分析大量数据集时的有效性而著称,从而使本研究与众不同。本研究以原始数据为基础,通过对马尔马拉大学的学生进行面对面调查收集数据。使用专门编制的表格确定了 600 名参与者的样本量,并在设计样本时采用了便利抽样法。在本研究范围内,共对 559 个一致的数据点进行了分析,这些数据点没有任何缺失。研究首先调查了学生的社会人口特征与其幸福感之间的相关性。随后,使用 SPSS 软件执行了 CART 和 CHAID 算法的应用,重点关注两个不同的因变量。研究结果表明,社会人口因素,尤其是收入、年龄和父母职业等因素,对个人的幸福感水平有很大影响。此外,研究还发现,在幸福的主要来源方面存在性别差异,女性主要是爱情,而男性主要是成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Determination of factors affecting university students’ happiness levels through decision trees analysis
Throughout history, happiness has been a pivotal subject of study, often analyzed within the context of life quality. The notion of life quality includes various elements such as environmental conditions, family dynamics, health status, and income levels, each playing a significant role in shaping an individual's perspective on life and, consequently, their happiness. This research delves into the happiness of university students, a demographic that holds immense significance for the future of our nation.In the realm of academic studies focusing on the factors influencing the happiness levels of university students, methodologies such as factor analysis, regression analysis, correlation analysis, and logistic regression have been prevalently utilized. Nevertheless, this particular study distinguishes itself by employing decision tree methods, specifically the CART and CHAID algorithms, noted for their effectiveness in the analysis of extensive datasets. The research is based on primary data, gathered through face-to-face surveys conducted with students from Marmara University. The sample size, consisting of 600 participants, was ascertained using specially developed tables, and the Convenience Sampling method was employed in the design of the sample. Within the scope of this study, a total of 559 consistent data points, devoid of any missing observations, were subjected to analysis. The research initially investigates the correlation between the socio-demographic characteristics of the students and their levels of happiness. Subsequently, the applications of the CART and CHAID algorithms were executed using the SPSS software, focusing on two distinct dependent variables. The outcomes of this study indicate that socio-demographic elements, particularly factors such as income, age, and the occupations of the parents, exert a substantial influence on the happiness levels of individuals. Moreover, the study discerns a gender-based discrepancy in the primary sources of happiness, with love being predominant among women and success among men.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mekânsal kalite unsuru ve kullanıcı beklentileri: Taksim Meydanı ve çevresi Yenilikçi ağ modelleri kapsamında yerli tıbbi cihaz tasarım süreçlerinde endüstriyel tasarımın rolü Determination of factors affecting university students’ happiness levels through decision trees analysis The protective role of mindfulness in the cyberhate experience A field study on cyber stalking among university students
×
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