Analyzing the Effect of Factors on Individuals’ Subjective Well-Being with Quantile Bayesian Structural Equation Modeling Approach
2024

Factors Affecting Subjective Well-Being

Sample size: 2426 publication Evidence: moderate

Author Information

Author(s): Çiçek Zübeyde, Bayram Arlı Nuran, Li Jianbiao

Primary Institution: Suleyman Demirel University, Türkiye

Hypothesis

How do different life domains affect individuals' subjective well-being?

Conclusion

Satisfaction with health, marriage, work life, social life, relationships, and public services positively affects subjective well-being, with varying impacts across different levels of well-being.

Supporting Evidence

  • Health satisfaction positively affects subjective well-being.
  • Marriage satisfaction has a stronger effect on subjective well-being for individuals with higher levels of well-being.
  • Work life satisfaction significantly enhances subjective well-being, especially for those with lower levels of well-being.
  • Social life satisfaction consistently influences subjective well-being across different quantile levels.
  • Relationship satisfaction has a more pronounced effect on subjective well-being for individuals with lower levels of well-being.
  • Satisfaction with public services positively affects subjective well-being, with diminishing returns at higher levels of well-being.

Takeaway

This study shows that being happy depends on many things like health and relationships, and different things matter more for people who feel really happy or not so happy.

Methodology

The study used Bayesian Quantile Structural Equation Modeling to analyze data from the 2020 Life Satisfaction Survey in Türkiye.

Potential Biases

Self-reported data may be subject to social desirability bias.

Limitations

The study is limited to data from Türkiye and relies on self-reported measures, which may introduce bias.

Participant Demographics

The sample consisted of working individuals, with a focus on married individuals for marriage satisfaction analysis.

Statistical Information

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/bs14121170

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