Table 4.
Decomposition of effects of variables in structural equation modeling (N=2661).
| Path | Effect | BootSEa | BootLLCIb | BootULCIc | |||||
| Total effect | 0.04 | 0.01 | 0.00 | 0.02 | |||||
| Direct effects | –0.02 | 0.01 | –0.04 | 0.00 | |||||
| Indirect effects | |||||||||
|
|
Total indirect effects | 0.09 | 0.01 | 0.07 | 0.12 | ||||
|
|
Indirect effect 1d | 0.04 | 0.01 | 0.03 | 0.06 | ||||
|
|
Indirect effect 2e | –0.02 | 0.01 | –0.04 | –0.01 | ||||
|
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Indirect effect 3f | 0.07 | 0.01 | 0.06 | 0.08 | ||||
|
|
Indirect 1 versus Indirect 2 | 0.07 | 0.01 | 0.04 | 0.09 | ||||
|
|
Indirect 1 versus Indirect 3 | –0.03 | 0.01 | –0.05 | –0.01 | ||||
|
|
Indirect 2 versus Indirect 3 | –0.09 | 0.01 | –0.12 | –0.07 | ||||
aBootSE: bootstrap standard error.
bBootLLCI: bootstrap lower limit of confidence interval.
cBootULCI: bootstrap upper limit of confidence interval.
dIndirect effect path 1: attitude toward social interaction of WeChat use to upward social comparison on social interaction of WeChat to antenatal depression.
eIndirect effect path 2: attitude toward social interaction of WeChat use to rumination to antenatal depression.
fIndirect effect path 3: attitude toward social interaction of WeChat use to upward social comparison on social interaction of WeChat to rumination to antenatal depression.