## 4 Results
### Structural Model Assessment  
In this study, AMOS 26.0 software was employed to test the model and hypotheses previously discussed. The results, presented in Table 3, show a chi-square value of 1023.09 with 537 degrees of freedom. The ratio of the chi-square value to the degrees of freedom is 1.91, which falls within the acceptable range of 1-3, indicating a good model fit. The \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Construct**} & \multirow{2}{*}{**Item Tag**} & \multicolumn{6}{c}{**Significance Estimate**} & \multirow{2}{*}{**Std.**} & \multirow{2}{*}{**SMC**} & \multirow{2}{*}{**AVE**} & \multirow{2}{*}{**C.R.**} \\ \cline{3-3} \cline{5-10}  & & **UnStd.** & & & & & & 0.819 & 0.671 & \\ \hline \multirow{4}{*}{SQ} & P4 & 1 & & & & 0.820 & 0.672 & \multirow{4}{*}{0.674} & \multirow{4}{*}{0.892} \\  & P3 & 1.008 & 0.047 & 21.229 & *** & 0.826 & 0.682 & & \\  & P2 & 1.005 & 0.047 & 21.418 & *** & 0.826 & 0.682 & & \\  & P1 & 0.931 & 0.044 & 21.147 & *** & 0.818 & 0.669 & & \\ \hline \multirow{4}{*}{IQ} & S5 & 1 & & & & 0.825 & 0.681 & \multirow{4}{*}{0.669} & \multirow{4}{*}{0.910} \\  & S4 & 0.973 & 0.047 & 20.791 & *** & 0.827 & 0.684 & & \\  & S3 & 0.913 & 0.046 & 19.933 & *** & 0.805 & 0.648 & & \\  & S2 & 0.952 & 0.047 & 20.373 & *** & 0.816 & 0.665 & & \\  & S1 & 0.975 & 0.048 & 20.377 & *** & 0.817 & 0.667 & & \\ \hline \multirow{4}{*}{SI} & J4 & 1 & & & & 0.786 & 0.618 & \multirow{4}{*}{0.644} & \multirow{4}{*}{0.878} \\  & J3 & 1.078 & 0.055 & 19.428 & *** & 0.818 & 0.669 & & \\  & J2 & 1.09 & 0.056 & 19.313 & *** & 0.814 & 0.663 & & \\  & J1 & 0.989 & 0.053 & 18.591 & *** & 0.791 & 0.626 & & \\ \hline \multirow{4}{*}{PA} & G4 & 1 & & & & 0.792 & 0.627 & \multirow{4}{*}{0.651} & \multirow{4}{*}{0.882} \\  & G3 & 0.971 & 0.05 & 19.35 & *** & 0.803 & 0.645 & & \\  & G2 & 1.054 & 0.053 & 19.954 & *** & 0.822 & 0.676 & & \\  & G1 & 1.044 & 0.053 & 19.576 & *** & 0.810 & 0.656 & & \\ \hline \multirow{4}{*}{PC} & N3 & 1 & & & & 0.798 & 0.637 & \multirow{4}{*}{0.657} & \multirow{4}{*}{0.852} \\  & N2 & 1.039 & 0.052 & 19.957 & *** & 0.811 & 0.658 & & \\  & N1 & 1.059 & 0.052 & 20.335 & *** & 0.823 & 0.677 & & \\ \hline \multirow{4}{*}{IM} & R3 & 1 & & & & 0.832 & 0.692 & \multirow{4}{*}{0.714} & \multirow{4}{*}{0.909} \\  & R2 & 0.988 & 0.047 & 20.849 & *** & 0.830 & 0.689 & & \\  & R1 & 1.004 & 0.047 & 21.470 & *** & 0.845 & 0.714 & & \\ \hline \multirow{4}{*}{PU} & Y4 & 1.051 & 0.046 & 22.653 & *** & 0.872 & 0.760 & \multirow{4}{*}{0.663} & \multirow{4}{*}{0.887} \\  & Y3 & 1 & & & 0.831 & 0.691 & & \\  & Y2 & 0.964 & 0.046 & 20.793 & *** & 0.806 & 0.650 & & \\  & Y1 & 0.934 & 0.044 & 21.277 & *** & 0.818 & 0.669 & & \\ \hline \multirow{4}{*}{SA} & M4 & 0.923 & 0.045 & 20.645 & *** & 0.802 & 0.643 & \multirow{4}{*}{0.621} & \multirow{4}{*}{0.831} \\  & M3 & 1 & & & 0.792 & 0.627 & & \\  & M2 & 0.979 & 0.05 & 19.486 & *** & 0.799 & 0.638 & & \\  & M1 & 0.976 & 0.052 & 18.674 & *** & 0.772 & 0.596 & & \\ \hline \multirow{4}{*}{CI} & Z4 & 1 & & & 0.806 & 0.650 & \multirow{4}{*}{0.643} & \multirow{4}{*}{0.878} \\  & Z3 & 0.934 & 0.045 & 20.573 & *** & 0.801 & 0.642 & \\ \cline{1-1}  & Z2 & 1.028 & 0.049 & 21.177 & *** & 0.820 & 0.672 & & \\ \cline{1-1}  & Z1 & 0.965 & 0.048 & 19.963 & *** & 0.781 & 0.610 & & \\ \hline \hline \end{tabular} Note: \(p\) cannot be equal to 0.00, but rather \(p<0.01\). *** indicates that the number is less than 0.001. “SMC” represents Squared Multiple Correlation. “S.E.” represents Standard Error of Estimate. “UnStd.” represents Unstandardized. “Std.” represents Standardized. “AVE” represents Average Variance Extraction.  
\end{table} 
Table 2: Convergent validity test table. Tucker-Lewis Index (TLI) and Comparative Fit Index (CFI) are both 0.97, exceeding the desired threshold of 0.9 and suggesting an excellent fit. The Goodness-of-Fit Index (GFI) and Adjusted Goodness-of-Fit Index (AGFI) are 0.87 and 0.85, respectively, both above 0.8 and thus within an acceptable range.