## 3 Results
### Construct Validity  
To examine the construct validity of the designed instrument in its factor structure, a two-class factor analysis was performed, exploratory and confirmatory. With regard to the exploratory factor analysis, the division made into three dimensions of the scale of perceptions about the potential of film as a teaching resource in Pre-School and Primary Education corresponds, with a saturation index of 0.40, to the three-factor structure. It is worth indicating that the variables were established as categorical. In this sense, if we consider the distribution of the items according to the factors, factor 1, cinema as a didactic resource of content transmission, includes items 1 to 9, and factor 2, cinema as a didactic resource of expression and communication, is integrated by items 10 to 17. On the other hand, factor 3, cinema as a didactic resource of critical analysis, is composed of items 18 to 25.  
In relation to the analysis of explained variance, the results show that factor 1 explains 62.459%, factor 2 explains 9.238% and factor 3 explains 5.044%, with the total variance explained by the three factors being 76.741%. The analysis has also shown a high Cronbach's Alpha in the three factors, specifically, 0.958 in the first two factors and 0.955 in the third factor.  
As regards the confirmatory factor analysis, the results obtained confirm a three-factor structure, as can be seen in Figure 1.  
As can be seen, the weights or factor loads of the items are high, being higher than 0.80. In this sense, it should be noted that the items that best define the factor 1 are items 5 and 8 with 0.905 and 0.935, respectively. On the other hand, the two items that have more weight in the factor 2 are 15 and 16, both with 0.938. Finally, items 19 and 20 were the ones that have more weight in factor 3.  
As for the goodness-of-fit indexes of the three factors, the results show a comparative fit index (CFI) of 0.957, a root mean square (RMSEA) of 0.109 and a standardized root mean square (SRMR) of 0.032. It should be noted that, according to [53], the values for considering a model to have a good fit are a CFI equal to or greater than 0.95, an RMSEA not greater than 0.10 and an SRMR less than 0.05. The values obtained reflect that the CFI index has a high comparative fit value above 0.95 and the error rate reflecting the SRMR is low, below 0.05. Additionally, the RMSEA index is within the observed limit of 0.10.  
Finally, the Cronbach's Alpha of the three factors in the confirmatory analysis is high, 0.965 at factor 1, 0.963 at factor 2 and 0.961 at factor 3.  
\begin{table}
\begin{tabular}{c c c c} \hline
**Items** & **Corrected Item–Total Correlation** & **Multiple Squared Correlation** & **Cronbach’s Alpha if the Item Is Removed** \\ \hline
10 & 0.808 & 0.774 & 0.977 \\
11 & 0.828 & 0.816 & 0.976 \\
12 & 0.815 & 0.768 & 0.976 \\
13 & 0.757 & 0.720 & 0.977 \\
14 & 0.827 & 0.828 & 0.976 \\
15 & 0.836 & 0.840 & 0.976 \\
16 & 0.844 & 0.832 & 0.976 \\
17 & 0.786 & 0.745 & 0.977 \\
18 & 0.786 & 0.782 & 0.977 \\
19 & 0.821 & 0.829 & 0.976 \\
20 & 0.813 & 0.784 & 0.976 \\
21 & 0.715 & 0.715 & 0.977 \\
22 & 0.775 & 0.780 & 0.977 \\
23 & 0.768 & 0.758 & 0.977 \\
24 & 0.789 & 0.781 & 0.977 \\
25 & 0.790 & 0.739 & 0.977 \\ \hline \end{tabular}
\end{table}
Table 4: _Cont._