PC_3 ,769 Pattern Matrix Promax PC_4 ,441 Component PC_5 ,773 1 2 3 4 5 6 PSE_1 ,617 PM_1 ,935 PSE_2 ,543 PM_2 ,530 ,414 PSE_4 ,808 PM_3 ,820 PSE_5 ,608 PM_4 ,842 PVA_1 -,574 PM_5 ,881 PVA_2 ,597 PM_6 ,800 PVA_3 ,406 PC_1 ,513 PVA_4 -,534 PC_2 ,422 PVA_5 -,816 PC_3 ,828 PVA_6 -,705 PC_4 ,439 PVA_7 ,678 PC_5 ,856 PVA_8 -,525 PSE_1 ,626 PVA_9 ,702 PSE_2 ,524 PTE_1 ,653 PSE_4 ,894 PTE_2 ,880 PSE_5 ,627 PTE_3 ,905 PVA_1 ,610 Extraction Method: Principal Component Analysis. PVA_2 ,690 Rotation Method: Oblimin with Kaiser Normalization. PVA_3 PVA_4 ,615 a. Rotation converged in 22 iterations. PVA_5 ,930 PVA_6 ,763 PVA_7 ,781 PVA_8 ,553 PVA_9 ,776 PTE_1 ,637 PTE_2 ,878 PTE_3 ,901 Pattern Matrix (Kaiser’s Extraction Method: Principal Component Analysis. CriterionA & 2 FactorsB) Rotation Method: Promax with Kaiser Normalization. a. Rotation converged in iterations. Pattern Matrix Component 1 2 3 PC_1 ,817 PC_2 ,719 PC_3 ,612 ,594 PC_4 ,700
PC_3 ,769 PC_4 ,441 PC_5 ,773 PSE_1 ,617 PSE_2 ,543 PSE_4 ,808 PSE_5 ,608 PVA_1 -,574 PVA_2 ,597 PVA_3 ,406 PVA_4 -,534 PVA_5 -,816 PVA_6 -,705 PVA_7 ,678 PVA_8 -,525 PVA_9 ,702 PTE_1 ,653 PTE_2 ,880 PTE_3 ,905 Extraction Method: Principal Component Analysis. Rotation Method: Oblimin with Kaiser Normalization. a. Rotation converged in 22 iterations. Pattern Matrix Promax Component 1 2 3 4 5 6 PM_1 ,935 PM_2 ,530 ,414 PM_3 ,820 PM_4 ,842 PM_5 ,881 PM_6 ,800 PC_1 ,513 PC_2 ,422 PC_3 ,828 PC_4 ,439 PC_5 ,856 PSE_1 ,626 PSE_2 ,524 PSE_4 ,894 PSE_5 ,627 PVA_1 ,610 PVA_2 ,690 PVA_3 PVA_4 ,615 PVA_5 ,930 PVA_6 ,763 PVA_7 ,781 PVA_8 ,553 PVA_9 ,776 PTE_1 ,637 PTE_2 ,878 PTE_3 ,901 Extraction Method: Principal Component Analysis. Rotation Method: Promax with Kaiser Normalization. a. Rotation converged in iterations. Pattern Matrix (Kaiser’s CriterionA & 2 FactorsB) Pattern Matrix Component 1 2 3 PC_1 ,817 PC_2 ,719 PC_3 ,612 ,594 PC_4 ,700