## 4 Data Interpretation and Analysis
### Assessing the Structural Model
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Latent Variable** & **Indicators** & **Loadings** & \begin{tabular}{c} **Indicator** \\ **Reliability** \({}^{\mathbf{a}}\) \\ \end{tabular} & \begin{tabular}{c} **Composite** \\ **Reliability** \({}^{\mathbf{b}}\) \\ \end{tabular} & **AVE**\({}^{\mathbf{c}}\) & \begin{tabular}{c} **Discriminant** \\ **Validity?**\({}^{\mathbf{d}}\) \\ \end{tabular} \\ \hline \multirow{3}{*}{Proactive strategy} & \multicolumn{2}{c}{\begin{tabular}{c} Information-seeking \\ behaviour \\ Evacuate immediately \\ \end{tabular} } & 0.937 & 0.530 & 0.936 & 0.879 & Yes \\ \cline{2-6}  & \multicolumn{2}{c}{\begin{tabular}{c} Waiting for notices from P.A \\ Waiting in a secure location \\ \end{tabular} } & 0.919 & 0.552 & 0.913 & 0.840 & Yes \\ \cline{2-6}  & \multicolumn{2}{c}{\begin{tabular}{c} Trying to move in front of \\ the others \\ Disregard \\ \end{tabular} } & 0.941 & 0.522 & 0.941 & 0.899 & Yes \\ \cline{2-6}  & \multicolumn{2}{c}{\
\begin{tabular}{c} Follow others \\ Help others \\ \end{tabular} } & 0.917 & 0.564 & & & \\ \cline{2-6}  & \multicolumn{2}{c}{
\begin{tabular}{c} A Indicator reliability: indicators with outer loadings between 0.40 and 0.70 is considered for removal if deletion leads to an increase in composite reliability and AVE above the suggested threshold value. epoe_6 is retained when deletion does not increase in composite reliability and AVE above the suggested threshold value. \({}^{\mathbf{b}}\) Composite reliability: the threshold value should be at least 0.70. \({}^{\mathbf{c}}\) Average variance extracted (AVE): the significant value should be higher than 0.50. \({}^{\mathbf{d}}\) Discriminant validity: the square root of the AVE of each construct should be higher than its highest correlation with any other construct. \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Final assessment results of the reflective model. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **CPRP** & **CMST** & **CPST** & **INVB** & **LEGK** & **PAST** & **RAST** & **RPEM** \\ \hline CPRP & - & & & & & & \\ CMST & 0.758 & 0.943 & & & & & & \\ CPST & 0.823 & 0.658 & 0.911 & & & & & \\ INVB & 0.924 & 0.784 & 0.829 & - & & & & \\ LEGK & 0.884 & 0.806 & 0.791 & 0.877 & - & & & \\ PAST & 0.821 & 0.728 & 0.723 & 0.833 & 0.797 & 0.938 & & \\ RAST & 0.829 & 0.713 & 0.733 & 0.835 & 0.836 & 0.725 & 0.916 & \\ RPEM & 0.830 & 0.789 & 0.713 & 0.820 & 0.810 & 0.730 & 0.720 & - \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Fornell–Larcker criteria. VIF value is 4.204 (INVB_5). The VIF values for all indicators are below the threshold of 5; thus, there is no co-linearity [81]. Furthermore, the analysis of the importance and relevance of the external weights of the measurement model indicators by the bootstrapping algorithm revealed that the indicators \"INVB_4\", and \"INVB_6\" were not significant in terms of survivability and \"LEGK_1\" in terms of the level of emergency knowledge. As the external model loadings for these indicators are 0.132, 0.832 and \(-\)0.006, respectively, \"INVB_4\" and \"LEGK_1\" are excluded and \"INVB_6\" is retained, even though the external weights of this indicator are not significant [80]. Moreover, a review of the mean, standard deviation t-value and p-value of the path coefficients revealed that the path coefficients of emotion on active, cooperative and passive strategies were not significant, suggesting that the above exogenous latent variables do not have a significant effect on the endogenous latent variables. Finally, a holistic assessment of the structural model is also required based on the above assessment. The holistic evaluation is based on the PLS algorithm, the blindfolding algorithm and the bootstrapping algorithm. Figure 3 shows the final structural model based on the above operations. With the bootstrapping algorithm, Figure 3 shows the path coefficients with significance between the decision-making capacity and the evacuation behaviour strategies.