Submitted:
13 June 2024
Posted:
10 July 2024
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Abstract
Keywords:
1. Introduction
2. Literature Review
2.1. Economic Uncertainty and Religious Belief
2.2. The Impact of Social Media Use
3. Methodology
3.1. Data
3.2. Variables
4. Results
4.1. Descriptive Analysis
4.2. Results of Regression Analysis
4.3. Moderating Effects of Social Media Use and Demographic Factors
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Variables | CGSS sample | WVS sample |
|---|---|---|
| N (%) | N (%) | |
| Gender | ||
| Male | 3679 (45.2) | 1503 (49.5) |
| Female | 4469 (54.8) | 1533 (50.5) |
| Income | ||
| Lower than average | 5662 (77.2) | 2336 (77.7) |
| Equal to or higher than average | 1672 (22.8) | 672 (22.3) |
| Social class | ||
| Middle and lower class | 4599 (56.6) | 1331 (44.3) |
| Upper class | 3532 (43.4) | 1674 (55.6) |
| Educational level | ||
| Junior high school and below | 4967 (61.1) | 1952 (65.1) |
| Junior high school above | 3160 (38.9) | 1048 (34.9) |
| Self-rated health status | ||
| Relatively healthy and above | 4366 (53.5) | 1894 (62.4) |
| Relatively healthy and below | 3786 (46.5) | 1139 (37.6) |
| Religious beliefs | ||
| Religious | 7502 (92.1) | 2238 (78.9) |
| Non-religious | 646 (7.9) | 597 (21.1) |
| Economic uncertainty | ||
| Rarelyand above | 781 (39.3) | 1215 (40.2) |
| Never | 1207 (60.7) | 1808 (59.8) |
| Social media use | ||
| Less than monthly | 877 (29.0) | |
| Equal to or more than monthly | 2146 (71.0) |
| Model 1 | Model 2 | ||||
|---|---|---|---|---|---|
| Variables | β | p | β | p | |
| Age | -0.037 | 0.163 | -0.025 | 0.357 | |
| Gender | 0.022 | 0.357 | 0.019 | 0.419 | |
| Education | -0.07** | 0.008 | -0.082** | 0.002 | |
| Health | -0.032 | 0.178 | -0.027 | 0.253 | |
| Social status | -0.025 | 0.288 | -0.025 | 0.278 | |
| Income level | 0.007 | 0.781 | 0.007 | 0.76 | |
| Economic uncertainty | 0.059* | 0.017 | |||
| ΔR2 | 0.003 | 0.005* | |||
| Model 1 | Model 2 | Model 3 | Model 4 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables | β | p | β | p | β | p | β | p | |||
| Age | 0.024 | 0.262 | 0.026 | 0.239 | 0.036 | 0.126 | 0.036 | 0.108 | |||
| Gender | 0.045* | 0.018 | 0.043* | 0.023 | 0.044* | 0.021 | 0.045* | 0.019 | |||
| Education | -0.054* | 0.014 | -0.048* | 0.027 | -0.059** | 0.008 | -0.052* | 0.016 | |||
| Health | -0.017 | 0.402 | -0.008 | 0.697 | -0.017 | 0.404 | -0.007 | 0.753 | |||
| Social status | 0.062* | 0.011 | 0.052* | 0.037 | 0.062* | 0.012 | 0.053* | 0.029 | |||
| Income level | 0.087*** | 0.000 | 0.088*** | 0.000 | 0.084*** | 0.001 | 0.085*** | 0.000 | |||
| Economic uncertainty | 0.067*** | 0.001 | 0.067*** | 0.001 | |||||||
| Social media use | -0.033 | 0.144 | -0.028 | 0.209 | |||||||
| ΔR2 | 0.012*** | 0.004*** | 0.001 | 0.005*** | |||||||
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