Table 6.
Total effect | Direct effect | Indirect effect | |||||||
---|---|---|---|---|---|---|---|---|---|
c | SE | 95% CI | c’ | SE | 95% CI | ab | SE | 95% CI | |
China (N = 1030) | |||||||||
Addictive Social Media Use | −.021 | .024 | [−.068, .026] | .032 | .023 | [−.013, .076] | −.053 | .011 | [−.076, −.033] |
France (N = 1012) | |||||||||
Addictive Social Media Use | −.085 | .025 | [−.134, −.036] | −.021 | .026 | [−.073, .030] | −.064 | .012 | [−.089, −.042] |
Germany (N = 1175) | |||||||||
Addictive Social Media Use | −.112 | .024 | [−.159., −.066] | −.026 | .026 | [−.076, .024] | −.086 | .014 | [−.116, −.059] |
Poland (N = 1012) | |||||||||
Addictive Social Media Use | −.094 | .024 | [−.141, −.047] | −.006 | .024 | [−.054, .042] | −.088 | .012 | [−.112, −.066] |
Russia (N = 1020) | |||||||||
Addictive Social Media Use | −.016 | .030 | [−.075, .043] | .032 | .029 | [−.025, .090] | −.048 | .011 | [−.070, −.029] |
Spain (N = 997) | |||||||||
Addictive Social Media Use | −.078 | .026 | [−.129, −.028] | .010 | .028 | [−.045, .064] | −.088 | .015 | [−.118, −.059] |
Sweden (N = 1022) | |||||||||
Addictive Social Media Use | −.098 | .020 | [−.138, −.058] | −.007 | .022 | [−.051, .037] | −.091 | .013 | [−.116, −.065] |
U.K. (N = 1073) | |||||||||
Addictive Social Media Use | −.059 | .020 | [−.097, −.020] | .009 | .023 | [−.037, .054] | −.067 | .014 | [−.095, −.039] |
U.S. (N = 1077) | |||||||||
Addictive Social Media Use | −.068 | .024 | [−.114, −.021] | .042 | .024 | [−.006, .089] | −.109 | .015 | [−.138, −.080] |
SE = standard error, CI=Confidence interval; all CIs generated with bootstrapping: N = 10.000