### Results of Student Academic Stress
#### 3.2.2 Exploratory Factor Analysis of Academic Stress
\begin{table}
\begin{tabular}{c c c c} \hline \hline  & \multicolumn{4}{c}{**Underlying Factors**} \\ \cline{2-4}
**Item** & **1** & **2** & **3** & **4** \\ \hline EA2 & 0.885 & & \\ \hline EA3 & 0.767 & & \\ \hline EA4 & & & 0.816 \\ \hline EA5 & & & 0.810 \\ \hline EA8 & & 0.778 & \\ \hline EA9 & & 0.804 & \\ \hline EA12 & & 0.772 & \\ \hline EA13 & & 0.698 & \\ \hline EA14 & 0.687 & & \\ \hline EA15 & 0.714 & & \\ \hline EA17 & & 0.601 & \\ \hline EA18 & & 0.757 & \\ \hline EA19 & & 0.897 & \\ \hline EA20 & & 0.744 & \\ \hline EA21 & 0.616 & 0.300 & \\ \hline \hline \end{tabular}
\end{table} 
Table 14: Underlying factors of academic stress. The final reliability analysis of the academic stress scale indicates a high internal consistency with [PERSON]'s alpha of 0.879, suggesting that the 15 items coherently measure the underlying construct. The omega coefficient is 0.752, an acceptable value, but somewhat lower, which could indicate some variability in the factor loadings of the items, although it is still adequate. Finally, the theta coefficient of 0.882 confirms the high reliability of the scale, showing that the instrument is consistent and adequate for measuring academic stress. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Component**} & \multicolumn{4}{c}{**Initial Eigenvalues**} & \multicolumn{2}{c}{**Sums of Loads Squared**} & \multicolumn{2}{c}{**Sums of Loads Squared**} \\  & & & & **by Extraction** & & **by Rotation \({}^{*}\)** \\ \cline{2-7}  & **Total** & **\% Variance** & **\% Accumulated** & **Total** & **\% Variance** & **\% Accumulated** & **Total** \\ \hline
1 & 5.664 & _37.757_ & 37.757 & 5.664 & _37.757_ & _37.757_ & 4.440 \\ \hline
2 & 1.539 & 10.260 & 48.016 & 1.539 & 10.260 & 48.016 & 4.136 \\ \hline
3 & 1.329 & 8.863 & 56.879 & 1.329 & 8.863 & 56.879 & 3.642 \\ \hline
4 & 1.084 & 7.226 & 64.105 & 1.084 & 7.226 & 64.105 & 2.166 \\ \hline
5 & 0.804 & 5.362 & 69.467 & & & & \\ \hline
6 & 0.746 & 4.973 & 74.440 & & & & \\ \hline
7 & 0.645 & 4.302 & 78.742 & & & & \\ \hline
8 & 0.508 & 3.389 & 82.131 & & & & \\ \hline
9 & 0.492 & 3.279 & 85.411 & & & & \\ \hline
10 & 0.432 & 2.883 & 88.294 & & & & \\ \hline
11 & 0.410 & 2.734 & 91.028 & & & & \\ \hline
12 & 0.384 & 2.561 & 93.589 & & & & \\ \hline
13 & 0.370 & 2.470 & 96.058 & & & & \\ \hline
14 & 0.336 & 2.241 & 98.300 & & & & \\ \hline
15 & 0.255 & 1.700 & 100.000 & & & & \\ \hline \hline \end{tabular} Note. \({}^{*}\) Extraction method: principal component analysis. \({}^{*}\)When the components are correlated, the sums of squared loadings cannot be added to obtain a total variance.  
\end{table} 
Table 16: Final total variance explained by the factors underlying academic stress. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Item**} & \multicolumn{4}{c}{**Extraction Method**} \\ \cline{2-7}  & \multicolumn{2}{c}{**Principal Components Analysis**} & \multicolumn{2}{c}{**Unweighted Least-Squares**} & \multicolumn{2}{c}{**Principal Axis**} & \multicolumn{2}{c}{**Alpha**} & \multicolumn{1}{c}{**Image**} \\  & \multicolumn{2}{c}{**Corruption Analysis**} & \multicolumn{2}{c}{**Lead-Squares**} & \multicolumn{2}{c}{**Factorization**} & \multicolumn{2}{c}{**Factorization**} & \multicolumn{1}{c}{**Factorization**} \\ \hline EA2 & 0.885 & 0.781 & 0.779 & 0.818 & 0.575 \\ \hline EA3 & 0.767 & 0.659 & 0.658 & 0.663 & 0.480 \\ \hline EA4 & 0.816 & 0.680 & 0.681 & 0.671 & 0.513 \\ \hline EA5 & 0.810 & 0.704 & 0.702 & 0.709 & 0.518 \\ \hline EA8 & 0.778 & 0.677 & 0.676 & 0.660 & 0.566 \\ \hline EA9 & 0.804 & 0.766 & 0.766 & 0.771 & 0.612 \\ \hline EA12 & 0.772 & 0.647 & 0.647