## 4 Results
### Questionnaire Survey and Data Analysis
#### 4.3.2 Analysis of Reliability and Validity of Collected Questionnaire Data
Likewise, the questions in the second scale are grouped into three categories, FT1 through FT3, corresponding to three dimensions named \"multimedia awareness\", \"interaction perception\", and \"technology acceptance\", respectively. A summary of these findings is presented in Table 15.  
(3) _Step 3: Verifying the reliability of the collected questionnaire data_  
Reliability refers to the consistency of a measured dataset across multiple repetitions. In this study, the analysis of the reliability of the collected questionnaire data is based on the [PERSON]'s \(\alpha\) coefficient [23], which is yielded by the EFA mentioned previously. It is recognized that as the [PERSON]'s \(\alpha\) coefficient approaches the extreme value of 1.0, the reliability of the dataset (considered as variables) increases. A [PERSON]'s \(\alpha\) coefficient exceeding the threshold of 0.35 indicates that the data in question are reliable, and a value surpassing 0.70 signifies the high reliability of the dataset [24]. Utilizing the data presented in Tables 10 and 11, the [PERSON]'s \(\alpha\) coefficients for the two scales and the six latent dimensions are detailed in Table 16. It is evident from the table that all the [PERSON]'s \(\alpha\) coefficients surpass 0.70, except for the group FT3, which still exceeds 0.35 and approaches 0.70. Consequently, the collected questionnaire datasets for both scales and the individual latent dimensions are considered _reliable for further analysis_. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Scale**} & \multirow{2}{*}{**Latent Dimension**} & **[PERSON]’s \(\alpha\)** & **[PERSON]’s \(\alpha\) Coefficient of the** & **[PERSON]’s \(\alpha\) Coefficient of the** & **the Scale** \\ \hline \multirow{4}{*}{\begin{tabular}{c} Magic viewing \\ experience \\ \end{tabular} } & Emotion impact (Group PS1) & 0.872 & \\ \cline{2-4}  & \begin{tabular}{c} Magic impression \\ (Group PS2) \\ \end{tabular} & 0.843 & 0.929 \\ \cline{2-4}  & \begin{tabular}{c} Entertainment satisfaction. \\ (Group PS3) \\ \end{tabular} & 0.845 & \\ \hline \multirow{4}{*}{\begin{tabular}{c} Multimedia \\ technology \\ understanding \\ \end{tabular} } & Multimedia awareness & 0.852 & \\ \cline{2-4}  & \
\begin{tabular}{c} Interaction perception \\ (Group FT2) \\ \end{tabular} & 0.900 & 0.844 \\ \cline{2-4}  &
\begin{tabular}{c} Technology acceptance \\ (Group FT3) \\ \end{tabular} & 0.610 & \\ \hline \hline \end{tabular}
\end{table} 
Table 16: The questions of the two scales and the six latent dimensions, as well as the corresponding Cronbach’s \(\alpha\) coefficients. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Scale**} & \multirow{2}{*}{**Latent Dimension**} & **No. of Questions** & \begin{tabular}{c} **Labels of the Questions** \\ **of the Dimension** \\ \end{tabular} \\ \hline \multirow{4}{*}{\begin{tabular}{c} Magic viewing \\ experience \\ \end{tabular} } & Emotion impact & 6 & (S2, S3, S11, S1, S5, S6) \\ \cline{2-4}  & \begin{tabular}{c} Magic impression \\ (Group FS2) \\ \end{tabular} & 4 & (S4, S13, S7, S12) \\ \cline{2-4}  & \begin{tabular}{c} Entertainment \\ satisfaction. (Group FS3) \\ \end{tabular} & 3 & (S9, S10, S8) \\ \hline \multirow{4}{*}{\begin{tabular}{c} Multimedia \\ technology \\ understanding \\ \end{tabular} } & Multimedia awareness & 6 & (T7, T10, T8, T1, T9, T2) \\ \cline{2-4}  & \
\begin{tabular}{c} Interaction perception \\ (Group FT2) \\ \end{tabular} & 4 & (T3, T4, T6, T5) \\ \cline{2-4}  &
\begin{tabular}{c} Technology acceptance \\ (Group FT3) \\ \end{tabular} & 3 & (T13, T12, T11) \\ \hline \hline \end{tabular}
\end{table} 
Table 15: Collection of the questions from the six latent dimensions of the two scales. (4) _Step 4: Verification of the applicability of the structural model established with the latent dimensions_  
Before establishing the validity of the collected questionnaire data, it is essential to verify the appropriateness of the structural model configured based on the latent dimensions [25].