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. 2020 Nov 9;11:572260. doi: 10.3389/fphar.2020.572260

TABLE 4.

The pattern and structure matrix for PCA of the three-component solution of SCADS items.

 Item no. Pattern matrix a Structure matrix Communalities
Component Component
1 2 3 1 2 3
Q4 0.956 0.954 0.924
Q3 0.956 0.954 0.924
Q2 0.827 0.798 0.698
Q6 0.969 0.944 0.904
Q5 0.969 0.944 0.904
Q7 0.622 0.626 0.412
Q8 0.395 0.461 0.321
Q1 -0.707 0.687 0.741
Q9 0.653 -0.622 0.519
Q10 0.404 0.438 0.316
Eigenvalue 3.120 2.289 1.253 3.120 2.289 1.253
% of variance 31.196 22.889 12.532 31.196 22.889 12.532

Extraction method: principal component analysis (PCA).

Rotation Method: Oblimin with Kaiser normalization.

a

Rotation converged in nine iterations.