Unraveling the Most Important Predictors of Eudaimonic and Hedonic Well-Being in Korean Adults: A Machine Learning Approach
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Unraveling the Most Important Predictors of Eudaimonic and Hedonic Well-Being in Korean Adults: A Machine Learning Approach ; volume:25 ; number:7 ; day:22 ; month:8 ; year:2024 ; pages:1-22 ; date:10.2024
Journal of happiness studies ; 25, Heft 7 (22.8.2024), 1-22, 10.2024
- Creator
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Jyung, Mina
Lee, Sung-Ha
Choi, Incheol
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10902-024-00792-1
- URN
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urn:nbn:de:101:1-2501262132478.658767921633
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:35 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jyung, Mina
- Lee, Sung-Ha
- Choi, Incheol
- SpringerLink (Online service)
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