文章基本信息

标题：The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis
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作者：Esra POLAT
期刊名称：Sakarya University Journal of Science
印刷版ISSN：1301-4048
电子版ISSN：2147-835X
出版年度：2020
卷号：24
期号：2
DOI：10.16984/saufenbilder.632820
语种：English
出版社：Sakarya University
摘要：Life satisfaction (LS) measures how people assess their lives as a whole, not their present emotions. Measuring emotions can be very subjective, but it is still a useful completion to more objective data when comparing quality of life across countries. Many questionnaires are used to measure especially LS and happiness. The Partial Least Squares Discriminant Analysis (PLSDA) is a statistical method for classification and includes an ordinary Partial Least Squares Regression, where the dependent variable is categorical that represents each observation's class membership. In this study, the purpose is to classify 35 OECD countries correctly to their predefined classes (above or below the average LS level of OECD) by using year 2017 Better Life Index data. In the analyses PLSDA, a flexible supervised classification method, is used. PLSDA is a preferable alternative method in case of some assumptions not satisfied for classical discriminant analysis. The results showed that PLSDA has a satisfying classification performance and self-reported health (SH) is only effective variable in determining the LS levels of countries.
关键词：Better Life Index;classification;life satisfaction;OECD countries;Partial Least Squares Discriminant Analysis