How Do Profiles of Greed Map onto Multifaceted Well-Being?

Dispositional greed is often treated as a maladaptive trait, but its links to life satisfaction, presence of meaning, search for meaning, and psychological richness, from a person-centered approach, remain underexplored. We measured these constructs in 586 Chinese university students, then used correlation analysis, latent profile analysis (LPA), and the Bolck–Croon–Hagenaars (BCH) method to test associations and profile differences. Greed correlated positively with all four indicators. LPA yielded three profiles: Low-Greed (6.7%), Average-Greed (84.0%), and High-Greed (9.4%). BCH analyses showed significant differences in psychological richness, presence of meaning, and search for meaning. The effect on life satisfaction was marginal. The Low-Greed profile scored lower than the other two profiles on psychological richness and search for meaning; the High-Greed profile also exceeded the Average-Greed profile on search for meaning. These results suggest that greed is not uniformly detrimental. Its links to well-being are graded: strongest for search for meaning and psychological richness, weakest for life satisfaction.

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Publication Details

Journal
Behavioral Sciences
Published
2026-07-28
DOI
https://doi.org/10.3390/bs16081286
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
0.00
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article

How Do Profiles of Greed Map onto Multifaceted Well-Being?

Jing Dang, Xiaoyan Ma, Chenggang Wu, Dongdong Liu
Behavioral Sciences
Psychological Well-being and Life Satisfaction
article

How Do Profiles of Greed Map onto Multifaceted Well-Being?

Jing Dang, Xiaoyan Ma, Chenggang Wu, Dongdong Liu
article en

Abstract

Dispositional greed is often treated as a maladaptive trait, but its links to life satisfaction, presence of meaning, search for meaning, and psychological richness, from a person-centered approach, remain underexplored. We measured these constructs in 586 Chinese university students, then used correlation analysis, latent profile analysis (LPA), and the Bolck–Croon–Hagenaars (BCH) method to test associations and profile differences. Greed correlated positively with all four indicators. LPA yielded three profiles: Low-Greed (6.7%), Average-Greed (84.0%), and High-Greed (9.4%). BCH analyses showed significant differences in psychological richness, presence of meaning, and search for meaning. The effect on life satisfaction was marginal. The Low-Greed profile scored lower than the other two profiles on psychological richness and search for meaning; the High-Greed profile also exceeded the Average-Greed profile on search for meaning. These results suggest that greed is not uniformly detrimental. Its links to well-being are graded: strongest for search for meaning and psychological richness, weakest for life satisfaction.

Behavioral SciencesVol. 16(8)
Shanghai International Studies University (CN), Inner Mongolia Normal University (CN)
Openalex Percentile: Top 5%
Psychological Well-being and Life Satisfaction
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