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. 2022 Feb 16;12(2):275. doi: 10.3390/brainsci12020275

Table 4.

Eigenvalues of the items on the 5 factors after rotation.

Rotated Component Matrices
Component 1 2 3 4 5
PSQ 20 0.745
PSQ 22 0.686
PSQ 21 −0.679
ISR 02 0.634 0.361
ISR 24 0.632
ADSL 06 0.622 0.417
ADSL 14 0.609
BSF 12 0.595 0.390
PSQ 06 0.574 0.332
PSQ 26 0.559 0.463
ISR 27 0.557
SWOP 06 0.513
SWOP 03 −0.481
PSQ 03 0.455
social item 24 (psychotherapy) 0.429
ISR 10 0.323
SES 02 0.831
SES 13 0.806
SES 09 0.799
SES 07 0.789
SES 01 0.764
SES 17 0.584
BI 27 0.437 0.435
ADSL 11 0.796
ISR 20 0.780
BSF 29 0.457 0.626
BI 07 0.573
ADSL 05 0.401 0.571
PSQ 27 0.392 0.508
ISR 18 0.464 0.505
BI 10 0.322 0.372
social item 18 (employment) 0.648
PSQ 29 0.620
social item 10 (profession, foreman) 0.707
age −0.505 0.515
social item 09 (graduation) 0.483
social item 25 (number of physicians consulted) −0.379

Extraction method: Principal component analysis. Rotation method: varimax with Kaiser normalization. The rotation converged in 6 iterations.