# Technology Behavior Model--Impact of Extended Reality on Patient Surgery
## 5 Data Analysis
### Statistical Analysis
#### 5.2.4 Predictive Relevance and Effect Size  
In addition to the study of the internal relationship of the model, the Stone-Geisserde Q value should also be tested, and is an important indicator for detecting the out-of-sample predictive power of a model [69]. When the PLS path is predictive, it can detect unused correlations in the data. A Q2 greater than 0 means that the path is predictive of the model [70]. Table 7 shows that Q2 is greater than 0, indicating that the proposed structural model is predictive of a certain endogenous structure. Two methods can usually be used for Q2 calculation (Table 8), namely the cross-validation commonality method and PLS-SEM. the quadratic operation can better ensure the predictiveness of Q2 and predict the eliminated data points. In addition to assessing the endogenous structure of the Q2 value, the effect size was assessed to determine whether the omitted structure had a substantial effect on the endogenous structure [71]. The assessment score, f2, is the inclusion of exogenous variables and the criterion for judging--from large to small, these are 0.35, 0.15, and 0.02. When the effect of influence is less than 0.02, this means that the omitted data does not affect \begin{table}
\begin{tabular}{l l l l l l l} \hline \hline
**Latent Construct** & **ATB** & **OR** & **OV** & **TS** & **AXRS** & **TR** & **XRU** \\ \hline \hline ATB & & & & & & \\ OR & 0.743 & & & & & \\ OV & 0.649 & 0.678 & & & & \\ TS & 0.597 & 0.624 & 0.625 & & & \\ AXRS & 0.772 & 0.642 & 0.654 & 0.684 & & \\ TR & 0.638 & 0.665 & 0.541 & 0.436 & 0.601 & \\ XRU & 0.662 & 0.650 & 0.570 & 0.519 & 0.642 & 0.622 \\ \hline \hline \end{tabular} Notes: ATB—attitude toward behavior; OR—operation risk; OV—operation value; TS—tension; AXRS—acceptance of extended reality smart glasses surgery; TR—trust; XRU—extended reality usefulness.  
\end{table} 
Table 4: Hetero trait–mono trait (HTMT). \begin{table}
\begin{tabular}{l l l l l l l l} \hline \hline
**Latent Construct** & **Items** & **Loadings** & \begin{tabular}{l} **Standard** \\ **Deviation** \\ \end{tabular} & **Rho (pA)** & \
\begin{tabular}{l} **Composite** \\ **Reliability** \\ \end{tabular} &
\begin{tabular}{l} **Average Variance** \\ **Extracted (AVE)** \\ \end{tabular} \\ \hline \multirow{3}{*}{ATB} & ATB1 & 0.927 & & & & & \\ ATB2 & 0.925 & 0.898 & & & & & \\  & ATB3 & 0.898 & & & & & \\ \hline \multirow{3}{*}{OR} & OR1 & 0.930 & & & & & \\ OR2 & 0.923 & 0.36 & & 0.926 & 0.947 & 0.857 & \\  & OR3 & 0.924 & & & & & \\ \hline \multirow{3}{*}{OV} & OV1 & 0.901 & & & & & \\ OV2 & 0.941 & 0.363 & & 0.907 & 0.941 & 0.841 & \\  & OV3 & 0.909 & & & & & \\ \hline \multirow{3}{*}{TS} & TS1 & 0.923 & & & & & \\ TS2 & 0.922 & 0.363 & & 0.910 & 0.942 & 0.844 & \\  & TS3 & 0.910 & & & & & \\ \hline \multirow{3}{*}{AXRS} & AXRS1 & 0.893 & & & & & \\ AXRS2 & 0.933 & 0.362 & & 0.915 & 0.944 & 0.848 & \\  & AXRS3 & 0.937 & & & & & \\ \hline \multirow{3}{*}{TR} & TR1 & 0.934 & & & & & \\ TR2 & 0.945 & 0.356 & & 0.929 & 0.954 & 0.875 & \\  & TR3 & 0.927 & & & & & \\ \hline \multirow{3}{*}{XRU} & XRU1 & 0.890 & & & & & \\ XRU2 & 0.925 & 0.362 & & 0.922 & 0.943 & 0.846 & \\  & XRU3 & 0.944 & & & & & \\ \hline \end{tabular} Notes: ATB—attitude toward behavior; OR—operation risk; OV—operation value; TS—tension; AXRS—acceptance of extended reality smart Glasses Surgery; TR—trust; XRU—extended reality usefulness.  
\end{table} 
Table 3: Convergent validity and construct reliability. the endogenous structure [54]. From Table 9, it can be seen that, among the effects of the endogenous factor variables, the effect of OR on AXRS had the lowest effect of only 0.021, but this was above the threshold. The effect of ATB on XRU was very high, at 0.489.