Rotated factor matrix for research objective 2 – C6
| Rotated factor matrixa | |||
|---|---|---|---|
| Factor | |||
| 1 | 2 | 3 | |
| C6.9 | 0.746 | 0.218 | 0.289 |
| C6.5 | 0.741 | 0.200 | 0.232 |
| C6.15 | 0.725 | 0.146 | 0.228 |
| C6.13 | 0.627 | 0.202 | 0.238 |
| C6.11 | 0.620 | 0.403 | 0.131 |
| C6.1 | 0.586 | 0.283 | 0.165 |
| C6.4 | 0.240 | 0.768 | 0.283 |
| C6.3 | 0.472 | 0.728 | 0.097 |
| C6.2 | 0.220 | 0.678 | 0.300 |
| C6.7 | 0.468 | 0.504 | 0.209 |
| C6.12 | 0.209 | 0.092 | 0.711 |
| C6.10 | 0.306 | 0.338 | 0.687 |
| C6.6 | 0.133 | 0.491 | 0.580 |
| C6.14 | 0.397 | 0.171 | 0.552 |
| C6.8 | 0.210 | 0.462 | 0.509 |
| Rotated factor matrix | |||
|---|---|---|---|
| Factor | |||
| 1 | 2 | 3 | |
| C6.9 | 0.218 | 0.289 | |
| C6.5 | 0.200 | 0.232 | |
| C6.15 | 0.146 | 0.228 | |
| C6.13 | 0.202 | 0.238 | |
| C6.11 | 0.403 | 0.131 | |
| C6.1 | 0.283 | 0.165 | |
| C6.4 | 0.240 | 0.283 | |
| C6.3 | 0.472 | 0.097 | |
| C6.2 | 0.220 | 0.300 | |
| C6.7 | 0.468 | 0.209 | |
| C6.12 | 0.209 | 0.092 | |
| C6.10 | 0.306 | 0.338 | |
| C6.6 | 0.133 | 0.491 | |
| C6.14 | 0.397 | 0.171 | |
| C6.8 | 0.210 | 0.462 | |
Notes:
Extraction method: principal axis factoring. Rotation method: Varimax with Kaiser normalisationa
aRotation converged in five iterations
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