## 4 Data Analysis and Results
### Measurement Model
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Construct** & **Item** & **Factor Loading** & **CR** & **AVE** \\ \hline \multirow{3}{*}{Trust (TRT)} & 1 feel that members of social media are likely to care for others’ welfare (TRT1) & 0.79 * & \multirow{3}{*}{0.89} & \multirow{3}{*}{0.74} \\  & Members of social media are, in general, honest (TRT2) & 0.89 * & & \\  & 1 feel that members of social media are trustworthy (TRT3) & 0.89 * & & \\ \hline \multirow{3}{*}{Identification (IDN)} & On social media, I am one of the core members (IDN1) & 0.81 * & \multirow{3}{*}{0.84} & \multirow{3}{*}{0.63} \\  & I am willing to put a great deal of effort into supporting others on social media (IDEN2) & 0.78 * & & \\  & I am willing to put a great deal of effort into helping my social network be successful (IDEN3) & 0.80 * & & \\ \hline \multirow{3}{*}{Receiving Online Support (ROS)} & Members on social media listen to me and talk about my private feelings and emotions (ROS1) & 0.84 * & \multirow{3}{*}{0.85} & \multirow{3}{*}{0.65} \\  & Members on social media provide the information I need (ROS2) & 0.76 * & & \\ \cline{1-1}  & Members on social media doared or gave things I need (ROS3) & 0.82 * & & \\ \hline \multirow{3}{*}{Providing Support Activities (PSA)} & On social media, I always listen to and talk about others’ private feelings and emotions (PSA1) & 0.88 * & \multirow{3}{*}{0.88} & \multirow{3}{*}{0.70} \\  & On social media, I always share the information that drives these (PSA2) & & & \\ \cline{1-1}  & On social media, I always loan or give the things that others need (PSA3) & & & \\ \hline \multirow{3}{*}{Subjective Well-Being (SWB)} & Using social media makes me feel that have something valuable place for others (SWB1) & 0.79 * & \multirow{3}{*}{0.87} & \multirow{3}{*}{0.62} \\  & Using social media makes me feel that my life is better (SWB2) & & & \\ \cline{1-1}  & Using social media makes me feel that I am close to other people (SWB3) & & & \\ \cline{1-1}  & Using social media makes me feel theerful (SWB4) & & & \\ \hline \hline \end{tabular}  
* Notes: CR = composite reliability; AVE = average variance extracted.  
\end{table} 
Table 2: Measurement items’ statistics. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Construct** & **MEAN** & **STD** & **TRT** & **IDN** & **ROS** & **PSA** & **SWB** \\ \hline \multirow{3}{*}{TRT} & 3.49 & 0.81 & 0.86 & \multirow{3}{*}{0.80} & \multirow{3}{*}{0.80} & \multirow{3}{*}{0.74} \\  & IDN & 3.59 & 0.67 & 0.73 & & \\ \cline{1-1}  & ROS & 3.74 & 0.66 & 0.62 & 0.72 & 0.81 \\ \cline{1-1}  & PSA & 3.91 & 0.66 & 0.55 & 0.66 & 0.70 & 0.84 \\ \cline{1-1}  & SWB & 3.57 & 0.68 & 0.71 & 0.75 & 0.58 & 0.56 & 0.79 \\ \hline \hline \end{tabular}  
* Notes: Diagonal elements (in shade) are the square root of the average variance extracted (AVE). Off-diagonal elements are the correlations among constructs.  
\end{table} 
Table 3: Correlations and the square root of the AVE of latent variables. In addition, [PERSON]'s one-factor test was performed by entering all variables into a principal component analysis, to test for common method bias [65], since the data were collected by using self-reported measures. The results showed that the total variance of a single factor is 48.10%, below the cutoff threshold of 50.0% [65]. This result indicates that common method bias is not a major issue for this study. Furthermore, variance inflation factors (VIF) were used to assess the concerns of multicollinearity, because of the high correction between the constructs. We conducted a regression analysis by modeling subjective well-being as the dependent variable and the other four variables as the independent variables. The VIF ranged from 2.142 to 3.032, which is well below the threshold of 3.3 suggested by [66]. Therefore, the multicollinearity problem does not influence the result of this study.