scholarly journals The Relationship between Positive Psychological Capital and Subjective Well-Being: A Meta-Analysis

2017 ◽  
Vol 07 (01) ◽  
pp. 104-115 ◽  
Author(s):  
泽军 刘
Keyword(s):  
Psychological Capital ◽  
Meta Analysis ◽  
Well Being ◽  
Subjective Well Being ◽  
Positive Psychological Capital ◽  
The Relationship

Positive psychological capital: A new approach to social support and subjective well-being

2014 ◽  
Vol 42 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Bin Li ◽  
Hongyu Ma ◽  
Yongyu Guo ◽  
Fuming Xu ◽  
Feng Yu ◽  
...  
Keyword(s):  
Social Support ◽  
Empirical Evidence ◽  
Psychological Capital ◽  
Well Being ◽  
Future Research ◽  
Subjective Well Being ◽  
New Approach ◽  
Positive Psychological Capital ◽  
Growing Body ◽  
The Relationship

A growing body of empirical evidence has shown that although social support (SS) can predict subjective well-being (SWB), the relationship between SS and SWB is still unclear. In this study we investigated the role that positive psychological capital (PPC) plays in the relationship between SS and SWB. The results showed that PPC, SS, and SWB were positively related. The more important result, however, was that PPC mediated the relationship between SS and SWB. The findings are discussed in the context of the importance of PPC for SWB. Limitations in this study and implications for future research are identified.

The Influence of Competency of Preschool Teachers in Fujian Province on Subjective Well-Being: The Mediating Role of Psychological Capital

2019 ◽  
Author(s):  
Xuguang Sun ◽  
Ailing Huang
Keyword(s):  
Direct Effect ◽  
Psychological Capital ◽  
Preschool Teachers ◽  
Well Being ◽  
Mediating Effect ◽  
Subjective Well Being ◽  
Positive Psychological Capital ◽  
Mediating Role ◽  
Mediator Variable

The intermediary effect interval of the preschool teachers' competence characteristics → positive psychological capital → the subjective well-being of the preschool teachers is (0.23—0.55), does not contain 0, and the effect amount is 0.35. The competency characteristics of preschool teachers → The direct effect interval of subjective well-being of preschool teachers is (0.05—0.36), excluding 0, and the effect quantity is 0.20, indicating that positive psychological capital as a mediator variable has the characteristics of preschool teachers and the subjective well-being of preschool teachers. Partial mediating effect, the ratio of mediating effect to total effect is 64.01%.

Psychological capital and career commitment: the mediating effect of subjective well-being

2018 ◽  
Vol 56 (2) ◽  
pp. 458-473 ◽  
Author(s):  
Hansika Singhal ◽  
Renu Rastogi
Keyword(s):  
Life Satisfaction ◽  
Negative Affect ◽  
Positive Affect ◽  
Psychological Capital ◽  
Career Commitment ◽  
Well Being ◽  
Subjective Well Being ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to discover the role of psychological capital (PsyCap) as a predictor of subjective well-being (SWB) and career commitment (CC). Further, it aims to analyze the mediating role of SWB in the relationship between PsyCap and CC in the Indian manufacturing sector. Design/methodology/approach A quantitative survey-based research design employing data from 300 employees in the National Capital Region (NCR) of India was used in the present research. Findings The results demonstrated that PsyCap acted as a predictor for SWB and CC. Additionally, SWB partially mediated the relationship between PsyCap and CC. Research limitations/implications The limitations of the present research would have to do with the purposive sample set chosen during the data collection. The sample consisted of middle- and upper-middle-class Indian employees working in the NCR having knowledge of English language and computer skills. Perhaps, future research works should take into account a wider sample in terms of the regions across India and not only the NCR. Although the findings showed that SWB reduced the relationship between PsyCap and CC, still that relationship was significant statistically. Further research studies might also explore various moderators while simultaneously studying SWB. In the research, SWB acted as a significant mediator of the relation between PsyCap and CC, yet at the same time, it may be the scenario that employees who are committed toward their career would be more inclined to espouse a greater sense of SWB (i.e. mediator is caused by the outcome). Hence, the authors duly recognize the need to test this substitute model. Since, SWB places chief emphasis on respondent’s own experiences and perspectives; it does not denote a consummate understanding of their mental health as people may have psychological disorders even if they experience happiness. Hence, the use of other measures in addition to SWB in comprehending a person’s psychological health is desirable (Diener et al., 1997). Practical implications This study suggests that in order for organizations to have a workforce committed to their career and hence, their profession, the supervisors will need to train the employees having a higher incidence of PsyCap to increase their SWB. Consequently, the supervisors will, in turn, need to recruit employees already having the four dimensions of PsyCap, i.e. hope, efficacy, resilience and optimism at the workplace in order for them to have a higher life satisfaction, positive affect, reduced negative affect (three components of SWB) and increased CC. Social implications Employees who develop within themselves a state of being hopeful, efficacious, resilient and optimistic will also be strongly oriented toward having greater life satisfaction, positive affect and lower levels of negative affect. This, in part, would help them achieve the required commitment toward their career and hence, help them in sticking with their jobs. Originality/value The present study advances the existing work on positive organizational behavior by exhibiting the noteworthy role of PsyCap in predicting SWB and CC. Further, it helps in demonstrating the inevitable role of SWB in partially mediating the relationship between PsyCap and CC.

scholarly journals Predicting Psychological and Subjective Well-Being from Personality: A Meta-Analysis

2019 ◽  
Author(s):  
Jeromy Anglim ◽  
Sharon Horwood ◽  
Luke Smillie ◽  
Rosario Marrero ◽  
Joshua K Wood
Keyword(s):  
Big Five ◽  
Personal Growth ◽  
Meta Analysis ◽  
Well Being ◽  
Big Five Personality ◽  
Subjective Well Being ◽  
Level Data ◽  
The Relationship ◽  
Hexaco Model ◽  
Better Than

Post-print of manuscript published in Psychological Bulletin: This study reports the most comprehensive assessment to date of the relations that the domains and facets of Big Five and HEXACO personality have with self-reported subjective well- being (SWB: life satisfaction, positive affect, and negative affect) and psychological well-being (PWB: positive relations, autonomy, environmental mastery, purpose in life, self-acceptance, and personal growth). It presents a meta-analysis (n = 334,567, k = 462) of the correlations of Big Five and HEXACO personality domains with the dimensions of SWB and PWB. It provides the first meta-analysis of personality and well-being to examine (a) HEXACO personality, (b) PWB dimensions, and (c) a broad range of established Big Five measures. It also provides the first robust synthesis of facet-level correlations and incremental prediction by facets over domains in relation to SWB and PWB using four large datasets comprising data from prominent, long-form hierarchical personality frameworks: NEO PI-R (n = 1,673), IPIP-NEO (n = 903), HEXACO PI- R (n = 465), and Big Five Aspect Scales (n = 706). Meta-analytic results highlighted the importance of Big Five neuroticism, extraversion, and conscientiousness. The pattern of correlations between Big Five personality and SWB was similar across personality measures (e.g., BFI, NEO, IPIP, BFAS, Adjectives). In the HEXACO model, extraversion was the strongest well- being correlate. Facet-level analyses provided a richer description of the relationship between personality and well-being, and clarified differences between the two trait frameworks. Prediction by facets was typically around 20% better than domains, and this incremental prediction was larger for some well-being dimensions than others. See https://osf.io/42rsy/ for Data and R scripts for the meta-analysis and facet-level data analyses of the above paper.

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