Effect of church attendance during youth on future psychological capital endowments: the US evidence

Mohanty, Madhu S.

doi:10.1080/09645292.2021.1951172

Cited by 4 publications

(2 citation statements)

References 45 publications

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“…Some family related variables that may affect an individual's mental depression are parental education (Mother High school, Mother college, Father High school, Father college), parental divorce (Parental divorce), 22 family income (Family income) and household size (Family size). Regular church attendance (Church attendance) during youth may have a negative impact on depression, 20,21 whereas drug addiction (Drug addiction), drunk driving (Drunk driving) and delinquency (Delinquency) in the current period may escalate this problem. Years of schooling, school enrollment (Enrolled), intelligence measured by PIAT math score (PIAT score), age (Age), current health condition (Good health), physical health limitations or disabilities (Health limitation), employment status (Employed), gender (Male), race (Black, Hispanic) and location of residence (Urban) are known to have some effects on mental condition, and therefore are included in the regression as explanatory variables.…”

Section: B Data and Variablesmentioning

confidence: 99%

Role of Marital Dissolution in Mental Depression of Younger Adults: Evidence from the United States

Mohanty

2024

MRAJ

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Objective: The study uses data from the National Longitudinal Survey of Youth, 1997 to test the hypothesis that mental depression of younger adults during a given time is significantly related to whether they are the victims of marital dissolution. Although the literature examining the relationship between mental health and marital dissolution is quite vast, there are only a few studies that examine this relationship among younger adults. By following an appropriate two- stage procedure, this study for the first-time tests the hypothesis that both depression and divorce may influence each other simultaneously. Method: Using two samples from the National Longitudinal Survey of Youth 1997 of the United States, the study first estimates depression equation by ordered probit. Recognizing the importance of both social causation and social selection theories, the study further estimates both depression and marital dissolution equations simultaneously. Results: Both approaches just mentioned indicate a strong correlation between these two variables. Further estimation of the depression equation by an instrumental variable approach indicates that this relationship may result from a causal connection. Conclusion: The study concludes that depression and divorce among younger adults are highly correlated and affect each other simultaneously during the same time. Evidence of the presence of a strong correlation and the possibility of a causal connection between divorce and depression clearly have important policy implications. Any policy to improve one is likely to have a favorable effect on the other and thus it deserves further attention of researchers and policy makers.

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Section: B Data and Variablesmentioning

confidence: 99%

Role of Marital Dissolution in Mental Depression of Younger Adults: Evidence from the United States

Mohanty

2024

MRAJ

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“…Mohanty Mohanty (2022) empirically tests the hypothesis that church attendance during youth, like traditional secular education that promotes human capital endowments, enhances a worker's psychological capital endowments in later periods, resulting in higher future earnings, by utilizing the National Longitudinal Survey of Youth, 1979(NLSY79).…”

Section: Individual Factorsmentioning

confidence: 99%

Causal Inference in Psychological Capital

Yang¹

2022

Preprint

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It is probably fair to say that in the mind of the general public, occupational health is far more wary of physical chronic afflictions than mental and neurological sufferings. The best intuitive reason for investigating internal mental health is that it may assuage the unpleasant side of occupational health and lead to better job performance. Conformity to the well-documented studies, both physical and psychological factors should be equally treated. As an internal predictor of occupational health, psychological capital is a high-order construct extracted from organizational behavior. Interest in psychological capital(PsyCap) has expanded intensely in past decades. Strikingly, copious desired correlation outcomes have been obtained. It is widely substantiated in the empirical research that higher psychological capital is positively associated with results such as job innovation, working satisfaction, subjective well-being, and negative with stress, turnover, and burnout. Therefore, psychological capital is generally credited as a potent intervention in working settings to enhance occupational health. Multiple structural equation modelings(SEM) and self-report scales have been developed, have been validated for exploitation in various empirical scenarios, and are being employed in practical treatment. Yet, there has been scant heed to the antecedents in psychological capital. Although this has not preached as swiftly as consequences identification and prediction, or comparatively low, similar issues on gauging of antecedent variables likewise pertain vital to plumb the psychological capital. The reliable interventions towards psychological capital must be discovered and examined as well. Via sheer statistical association in the prior study, without more experimental causality proofs, previous conventional research approaches might be inadequate to fully explain the underlying principles of performance improvement through PsyCap. Against this, the analysis that follows this paper seeks to provide a more rounded elaborated review on the construction and causation of psychological capital from a causal inference perspective with the tenor to establish robust intervention.

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