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. 2022 Jan 11;8(1):e08733. doi: 10.1016/j.heliyon.2022.e08733

Table 5.

Pattern matrix for the factor analysis on the sixteen Likert-scale questions. Shown are factor loadings with an absolute value greater than 0.25

Pattern Matrix
Component
problems with studying personal worries personal well-being societal worries
Because of corona measures I spend more time on my studies -0.773
Because of corona measures I have trouble to concentrate 0.759
Because of corona measures I have trouble structuring my day 0.758
I have trouble following online education 0.659
I am worried about my health 0.843
Because of the corona virus I worry about the health of family and friends 0.775
Because of the corona virus I worry more than before 0.554 -0.273
Because of corona measures I am more lonely than before 0.788
Because of corona measures I have less social interactions 0.752
Corona measures positively influence my well-being 0.258 -0.567
Because of corona measures I am more relaxed 0.251 -0.538
Because of corona measures I suffer from more depressive complaints than before 0.529
I worry that the current situation will influence my career 0.843
I worry that the current situation limits the options I have within my educational program 0.795
I worry that the current situation will influence my graduation date 0.760
I worry about my financial situation 0.591
Extraction Method: Principal Component Analysis.
Rotation Method: Oblimin with Kaiser Normalization.
Rotation converged in 11 iterations.