Resilience through the Lens of Optimism, Self-Esteem, Life Satisfaction, and Virtues: Hierarchical Regression Analysis
Document Type
Article
Publication Date
2023
Abstract
Background
The present study is to examine the effect virtues (courage, practical wisdom, integrity, committed action, emotional transcendence) in predicting resilience.
Methods
595 adults participated in the study. At the first stage of regression analysis, resilience was predicted based on participants’ optimism, self-esteem, and life satisfaction scores. Then, five virtues that include courage, integrity, practical wisdom, committed action, and emotional transcendence were added in the second stage regression model, and changes in the Adjusted R2 were inspected via hierarchical regression analysis.
Results
In the first stage, 21% of the variance in resilience was explained by the combination of optimism, self-esteem, and life satisfaction. With the addition of virtue factors, the total variance of resilience explained was then improved to 56%.
Conclusion
Change in the Adjusted R2 was 35%, indicative of virtue effect. Virtue was a popular concept in the early history of behavior science but became disfavored with the rise of empiricism as it was viewed as a moral and philosophical construct. The results of this study reassure that virtue can be studied empirically and findings necessitate additional research into the virtue effect in the context of resilience and adjustment to life's challenges.
Recommended Citation
Kim, Jeong Han; Ntinda, Kayi; Mora, Elaine; Salinas, Analynn; Rangel, Gabriela; Mercado Lopez, Jacqueline; Livingston, Tori; and Lee, Dong Hun, "Resilience through the Lens of Optimism, Self-Esteem, Life Satisfaction, and Virtues: Hierarchical Regression Analysis" (2023). School of Rehabilitation Services & Counseling Faculty Publications and Presentations. 51.
https://scholarworks.utrgv.edu/rhc_fac/51
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
Under review in BMC Psychology