Key Predictors of Generativity in Adulthood: A Machine Learning Analysis

This study provides new data-driven insights into the nature of generativity. The findings suggest that generativity is more closely associated with eudaimonic and plasticity-related variables (e.g., personal growth and social potency) rather than hedonic and homeostasis-oriented ones (e.g., life satisfaction and emotional stability). This indicates that generativity is an inherently dynamic construct, driven by a desire for exploration, social contribution, and personal growth.

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Publication Details

Journal
The Journals of Gerontology Series B
Published
2024-12-21
DOI
https://doi.org/10.1093/geronb/gbae204
Citations
3
Primary Topic
Identity, Memory, and Therapy
Type
article
Field-Weighted Citation Impact
2.37
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article

Key Predictors of Generativity in Adulthood: A Machine Learning Analysis

Mohsen Joshanloo
3 citations
The Journals of Gerontology Series B
Identity, Memory, and Therapy
2.37
article

Key Predictors of Generativity in Adulthood: A Machine Learning Analysis

Mohsen Joshanloo
article en
3 citations

Abstract

This study provides new data-driven insights into the nature of generativity. The findings suggest that generativity is more closely associated with eudaimonic and plasticity-related variables (e.g., personal growth and social potency) rather than hedonic and homeostasis-oriented ones (e.g., life satisfaction and emotional stability). This indicates that generativity is an inherently dynamic construct, driven by a desire for exploration, social contribution, and personal growth.

The Journals of Gerontology Series BVol. 80(4)
Keimyung College University (KR), Keimyung University (KR)
Reduced inequalities
Openalex Percentile: Top 10%
Identity, Memory, and Therapy
2.37
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