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. 2020 Oct 9;17(20):7364. doi: 10.3390/ijerph17207364

Table 3.

Principal component analysis.

Question Factor
1 2 3 4 5 6 7 8 9 10
1 0.751
2 0.391 0.643
3 0.814
4 0.613 0.334
5 0.740
6 0.509 0.493
7 0.658
8 0.706 0.327
9 0.807
10 0.714
11 0.783
12 0.713
13 0.413 0.527
14 0.734
15 0.684
16 0.703
17 0.680
18 0.456 0.342 0.371
19 0.728
20 0.783
21 0.644
22 0.420 0.391 0.303 0.320
23 0.740
24 0.743 0.313
25 0.715
26 0.421 0.425 0.397
27 0.694
28 0.666 0.421
29 0.681 0.331
30 0.541
31 0.406 0.460 0.302
32 0.536 0.318
33 0.690
34 0.557 0.372
35 0.645
36 0.725
37 0.632
38 0.359 0.631
39 0.533 0.439
40 0.300 0.513
41 0.326 0.682 0.318
42 0.347 0.634 0.318
43 0.683
44 0.348 0.389 0.506
45 0.566 0.447 0.390
46 0.620 0.385
47 0.303 0.463 0.338 0.319
48 0.311 0.572
49 0.532
50 0.591 0.349

Extraction method: principal component analysis; rotation method: varimax with Kaiser normalization.