Table 5.
Rotated Component Matrix *.
| Variable | Component | |||||
|---|---|---|---|---|---|---|
| 1. PU | 2. SIM | 3. IM | 4. NEC | 5. AUT | 6. PEU | |
| Cronbach’s Alpha | 0.894 | 0.902 | 0.908 | 0.815 | 0.83 | 0.676 |
| PU1_q3s1 | 0.623 | |||||
| PU2_q3s2 | 0.720 | |||||
| PU3_q3s3 | 0.811 | |||||
| PU4_q3s4 | 0.733 | |||||
| PU5_q3s5 | 0.752 | |||||
| PU6_q4s1 | 0.628 | |||||
| PEU1_q4s2 | 0.807 | |||||
| PEU2_q4s3 | 0.670 | |||||
| PEU3_q4s4 | 0.592 | |||||
| PEU4_q4s5 | 0.696 | |||||
| NEC1_q7s5 | 0.545 | |||||
| NEC2_q8s1 | 0.760 | |||||
| NEC3_q8s2 | 0.727 | |||||
| NEC4_q8s3 | 0.765 | |||||
| NEC5_q8s4 | 0.659 | |||||
| IM1_q7s1 | 0.874 | |||||
| IM2_q7s2 | 0.757 | |||||
| IM3_q7s3 | 0.897 | |||||
| IM4_q7s4 | 0.879 | |||||
| AUT2_q13s1 | 0.811 | |||||
| AUT3_q13s2 | 0.848 | |||||
| AUT4_q13s3 | 0.781 | |||||
| SIM1_q11s1 | 0.827 | |||||
| SIM2_q11s2 | 0.800 | |||||
| SIM3_q11s3 | 0.775 | |||||
| SIM4_q11s4 | 0.822 | |||||
* Extraction Method: Principal Component Analysis, Rotation Method: Varimax with Kaiser Normalization, Rotation converged in 6 iterations. Source: Authors’ own research.