The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis
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 especia...
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Sakarya University
2020-04-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/1013892 |
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| author | Esra Polat |
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| author_sort | Esra Polat |
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| description | 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 |
| format | Article |
| id | doaj-art-b9dd0b942aaa4e0592bb8232c7958b74 |
| institution | Kabale University |
| issn | 2147-835X |
| language | English |
| publishDate | 2020-04-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| spelling | doaj-art-b9dd0b942aaa4e0592bb8232c7958b742024-12-23T08:05:55ZengSakarya UniversitySakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi2147-835X2020-04-0124236537610.16984/saufenbilder.63282028The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant AnalysisEsra Polat0https://orcid.org/0000-0001-9271-485XHACETTEPE ÜNİVERSİTESİ, FEN FAKÜLTESİ, İSTATİSTİK BÖLÜMÜLife 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 countrieshttps://dergipark.org.tr/tr/download/article-file/1013892: better life indexclassificationlife satisfactionoecd countriespartial least squares discriminant analysis |
| spellingShingle | Esra Polat The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi : better life index classification life satisfaction oecd countries partial least squares discriminant analysis |
| title | The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis |
| title_full | The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis |
| title_fullStr | The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis |
| title_full_unstemmed | The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis |
| title_short | The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis |
| title_sort | classification of oecd countries in terms of life satisfaction using partial least squares discriminant analysis |
| topic | : better life index classification life satisfaction oecd countries partial least squares discriminant analysis |
| url | https://dergipark.org.tr/tr/download/article-file/1013892 |
| work_keys_str_mv | AT esrapolat theclassificationofoecdcountriesintermsoflifesatisfactionusingpartialleastsquaresdiscriminantanalysis AT esrapolat classificationofoecdcountriesintermsoflifesatisfactionusingpartialleastsquaresdiscriminantanalysis |