## 4 Research Results
### Testing the Research Hypotheses  
Multiple regression analysis was performed to establish the relationships between the variables and test the research hypotheses. The results are shown in Table 5. The four hypotheses are supported, with \(p\) values reaching the significance level of 0.05.  
Testing result of Hypothesis 1. The path coefficient for sports commitment and continuous intention is 0.098, with a \(t\)-value of 2.07 (\(p<0.05\)). Therefore, H1 is established: the higher the level of sports commitment, the greater the continuance intention. This result is consistent with findings in the previous literature ([PERSON] [22]).  
Testing result of Hypothesis 2. The path coefficient for attitude and continuous intention is 0.106, with a \(t\)-value of 2.01 (\(p<0.05\)). Therefore, H2 is established: the attitude of the participants in virtual  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Independent Variables** & **Std. \(\beta\)** & \(t\)**-Value** & **VIF** \\ \hline AT & 0.106 & 2.009 * & 0.201 \\ SN & 0.276 & 5.092 *** & 0.216 \\ PBC & 0.208 & 4.255 *** & 0.345 \\ SC & 0.098 & 2.067 * & 0.313 \\ \(R^{2}\) & 0.268 & & \\ \(F\)-Value & 35.020 *** & & \\ \hline \hline \end{tabular}
*: \(p<0.05\); ***: \(p<0.001\).  
\end{table}
Table 4: Regression analysis result on continuance intention.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Variable** & **AT** & **SN** & **PBC** & **SC** & **CI** \\ \hline AT & 1 & & & & \\ SN & 0.52 *** & 1 & & & \\ PBC & 0.35 *** & 0.42 *** & 1 & & \\ SC & 0.34 *** & 0.33 *** & 0.23 *** & 1 & \\ CI & 0.35 *** & 0.45 *** & 0.38 *** & 0.27 *** & 1 \\ \hline \hline \end{tabular}  
*: \(p<0.001\).  
\end{table}
Table 3: Correlation analysis between the different variables.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Path** & \(\beta\) & \(t\)**-Value** & **Results** \\ \hline H1: Sports Commitment \(\rightarrow\) Continuous Intention & 0.098 & 2.07 * & Supported \\ H2: Attitude \(\rightarrow\) Continuous Intention & 0.106 & 2.01 * & Supported \\ H3: Subjective Norms \(\rightarrow\) Continuous Intention & 0.276 & 5.09 *** & Supported \\ H4: Perceived Behavioral Control \(\rightarrow\) Continuous Intention & 0.208 & 4.26 *** & Supported \\ \hline \hline \end{tabular}
*: \(p<0.05\); ***: \(p<0.001\).  
\end{table}
Table 5: Hypothesis testing results.  
reality sports will affect their continuance intention. This result is consistent with the findings of [PERSON] and [PERSON] [54] on why people continue participation in games. They found that attitude and social norms are the main factors of influence.  
Testing result of Hypothesis 3. The path coefficient for subjective norms and continuous intention is 0.276, with a \(t\)-value of 5.09 (\(p<0.001\)). Therefore, H3 is established: higher subjective norms are associated with greater continuance intention. This result is consistent with findings in the previous literature ([PERSON] et al. [19]).  
Testing result of Hypothesis 4. The path coefficient for perceived behavioral control and continuous intention is 0.208, with a \(t\)-value of 4.26 (\(p<0.001\)). Therefore, H4 is established: higher perceived behavioral control is associated with greater continuance intention. This result is consistent with findings in the previous literature ([PERSON] and [PERSON] [55]).  
In short, sports commitment, attitude, subjective norms, and perceived behavioral control all influence the intention of older adults to continue participation in sports. On this basis, we constructed a model for the continuous intention of older adult participants in virtual reality sports (see Figure 2).