Table 3.
Correlation Coefficients among All Variables Used in the SEM Analysis
| (a) | (b) | (c) | (d) | (e) | (f) | |
|---|---|---|---|---|---|---|
| (a) Frequency of liking | – | |||||
| (b) Frequency of sharing | .58*** | – | ||||
| (c) Frequency of commenting | .56*** | .51*** | – | |||
| (d) Bonding social capital | .35*** | .32*** | .33*** | – | ||
| (e) Bridging social capital | .46*** | .40*** | .41*** | .53*** | – | |
| (f) Psychological well-being | .46*** | .37*** | .34*** | .58*** | .61*** | - |
| Age | .01 | .09* | -.03 | -.09* | .01 | -.01 |
| Gender | -.08 | -.09* | -.10* | -.04 | -.10* | .11* |
| Education | .08 | .07 | .07 | .04 | .06 | .10* |
| Income | .15** | .13** | .19*** | .22*** | .21*** | .18*** |
| Health status | -.04 | -.07 | -.04 | .02 | .01 | .21*** |
| WeChat use frequency | .35*** | .32*** | .29*** | .33*** | .38*** | .26*** |
| WeChat intensity | .34*** | .32*** | .28*** | .37*** | .45*** | .28*** |
| WeChat network size | .10* | .07 | .18*** | .23*** | .24*** | .17*** |
SEM = structural equation modeling. Gender: 1 = male, 2 = female. N = 522
*p < .05; **p < .01; ***p < .001