Key Predictors of Generativity in Adulthood: A Machine Learning Analysis.

Objectives This study aimed to explore a broad range of predictors of generativity in older adults. The study included over 60 predictors across multiple domains, including personality, daily functioning, socioeconomic factors, health status, and mental well-being. Methods A random forest machine le...

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Detalles Bibliográficos
Publicado en:	Journals of Gerontology Series B: Psychological Sciences & Social Sciences Vol. 80; no. 4; pp. 1 - 11
Autor principal:	Joshanloo, Mohsen
Formato:	Artículo
Publicado:	Oxford University Press / USA Apr2025
Materias:	Psychological aspects of aging Health status indicators Income Satisfaction Socioeconomic factors Social integration Personality Activities of daily living Well-being Intergenerational relations Achievement Random forest algorithms Research Machine learning Individual development Algorithms
Acceso en línea:	Ver este registro en EBSCOhost

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