I do not need to wash my hands because I will go to Heaven anyway: A study on belief in God and the afterlife, death anxiety, and COVID-19 protective behaviors

2021 ◽  
Author(s):  
Dariusz Drążkowski ◽  
Radosław Trepanowski
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Death Anxiety ◽  
Religious Beliefs ◽  
Severe Disease ◽  
Equation Modeling ◽  
Protective Behaviors ◽  
Belief In God ◽  
Modeling Analysis ◽  
The Relationship

This study examined the relationship between religious beliefs and protective behaviors during the COVID-19 pandemic. A study was conducted with 551 Polish participants. According to structural equation modeling analysis, being a believer is positively associated with belief in an afterlife, which, like death anxiety, but independent of it, is associated with perceiving COVID-19 as a non-severe disease, which is associated with low fear of COVID-19, and disregard for protective behaviors. Thus, our results allowed us to distinguish belief in God and the afterlife from death anxiety as two independent determinants of compliance with COVID-19 protective behaviors.

The Effects of Child and Adult Victimization on Psychological Distress: A Mediated Structural Equation Modeling Analysis

2019 ◽  
pp. 107780121988518
Author(s):  
Amanda Dishon-Brown ◽  
Seana Golder ◽  
Tanya Renn ◽  
TK Logan ◽  
George E. Higgins
Keyword(s):  
Structural Equation Modeling ◽  
Psychological Distress ◽  
Justice System ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Mediation Model ◽  
Modeling Analysis ◽  
And Coping ◽  
The Relationship

Justice-involved women experience significantly higher rates of victimization and psychological distress, and these experiences place women at greater risk of initial and ongoing involvement in the criminal justice system. This research explored the relationship between victimization, the hypothesized mediators (social support and coping), and psychological distress among a sample of 406 victimized women on probation/parole. Results of the Structural Equation Modeling (SEM) were significant and indicated a partial mediation model (74%) with both direct and indirect effects. Based upon the results of this research, implications and future research are explored regarding gender-responsive practices for this population.

scholarly journals Assessing the Relevance of Green Banking Practice on Bank Loyalty: The Mediating Effect of Green Image and Bank Trust

2019 ◽  
Vol 11 (17) ◽  
pp. 4651 ◽  
Author(s):  
Ibe-Enwo ◽  
Igbudu ◽  
Garanti ◽  
Popoola
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Banking Sector ◽  
Retail Banking ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Sustainability Performance ◽  
Modeling Analysis ◽  
The Relationship

Studies that examine green banking practice from the relationship marketing perspective are limited. Bearing in mind the importance of loyalty to managers in the banking industry, and the increase in the call for greater sustainability performance from banking firms by customers, our study explore customers’ perception on green banking practice and its effect on bank loyalty. It also investigates the mediating effect of green image and bank trust in the relationship between green banking practice and bank loyalty. Through a quantitative survey, data for this study was adopted from 551 customers of the retail banking sector in North Cyprus. The structural equation modeling technique was used to test the relationship between the study variables. Results from the structural equation modeling analysis conducted indicated a direct and significant influence of green banking practice on green image, bank trust, and bank loyalty. Green image significantly affects bank trust and bank loyalty. No significant relationship exist between bank trust and bank loyalty. Green image mediates the relationship between green banking practice and bank loyalty, while bank trust does not mediate the relationship between green banking practice and bank loyalty.

scholarly journals Mindfulness, Empathy and Moral Sensitivity in Nurses: a Structural Equation Modeling Analysis

2021 ◽  
Author(s):  
Yasser Rezapour-Mirsaleh ◽  
Mahdi Aghabagheri ◽  
Azadeh Choobforoushzadeh ◽  
Azra Mohammadpanah
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moral Sensitivity ◽  
Moral Issues ◽  
Cross Sectional ◽  
Modeling Analysis ◽  
Empathy Scale ◽  
Cross Sectional Design ◽  
The Relationship

Abstract Background: Nurses in work situations face with various moral issues and they can be such a challenge regarding interaction with patients; moral sensitivity of a nurse can help him/her to overcome these challenges. Regarding, the consideration of variables associated with moral sensitivity can be a real facilitator in overcoming such challenges. This study aimed to investigate the relationship among mindfulness, empathy, and moral sensitivity in a sample of nurses. Methods: In the present study, a cross-sectional design utilizing Structural Equation Modeling (SEM) was conducted. The nurses in a private hospital in Yazd, Iran, were invited to participate in the study (n=162). In order to gather the data, the Freiburg’s mindfulness inventory, moral sensitivity questionnaire, and revised Jefferson’s empathy scale were used. The hypothesized model was analyzed by SEM.Results: The results show that Mindfulness and empathy had a significant direct effect on moral sensitivity. However, mindfulness had an indirect effect on nurses’ moral sensitivity via empathy improvement (p<.01).Conclusion: Regarding the results, it can be concluded that via mindfulness improvement in nurses, it is possible to raise their moral sensitivity; considering the empathy role as a mediator, it is recommended mindfulness improvement is coincided with empathy.

scholarly journals Eco-Innovation Determination based on Structural Equation Modeling: Identifying the Mediation and Moderation Effect

2015 ◽  
Vol 1 (3) ◽  
pp. 17-29
Author(s):  
Ma Ding ◽  
Ye Jianmu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supervisory Support ◽  
Resource Base ◽  
Policy Makers ◽  
Moderation Effect ◽  
Upper Echelons Theory ◽  
Modeling Analysis ◽  
The Relationship

The motivation of enterprise eco-innovation is always an intriguing topic for policy makers, regulators, and scholars. Utilizing the rationale of institutional theory, stakeholder theory as well as upper echelons theory, this study devises a conceptualized model in explaining eco-innovation and uses questionnaire data from 288 enterprises in Wuhan city to test the hypothetical model through Structural Equation Modeling analysis. The study reveals that both institutional/stakeholder force and organizational force are significant triggers in enterprise eco-innovation, as the latter one mediates the effect of the former one. Supervisory support does not strengthen the relationship between institutional/stakeholder force and firm eco-innovation, yet weakens the relationship between organizational driver and eco-innovation. Conclusions imply that firm should prepare in terms of technological capability, scientific or social networking, resource base and specificity to better embrace eco-innovation, whereas governments should commit to optimize its regulation setting, law enforcement and various administrative and economic instruments to better incentivize enterprises to engage in eco-innovations.

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