Table 7.
PCA based on polychoric correlations.
| Variable | Factor 1 | Factor 2 | Factor 3 |
|---|---|---|---|
| 1 | 0.689 | 0.453 | 0.421 |
| 2 | 0.693 | 0.441 | 0.261 |
| 3 | 0.461 | 0.787 | 0.223 |
| 4 | 0.857 | 0.371 | 0.419 |
| 5 | 0.835 | 0.383 | 0.470 |
| 6 | 0.683 | 0.459 | 0.472 |
| 7 | 0.358 | 0.818 | 0.368 |
| 8 | 0.564 | 0.236 | 0.454 |
| 9 | 0.694 | 0.307 | 0.558 |
| 10 | 0.494 | 0.875 | 0.353 |
| 11 | 0.655 | 0.436 | 0.691 |
| 12 | 0.581 | 0.530 | 0.615 |
| 13 | 0.406 | 0.304 | 0.812 |
| 14 | 0.408 | 0.491 | 0.686 |
| 15 | 0.477 | 0.321 | 0.814 |
| 16 | 0.697 | 0.308 | 0.611 |
| 17 | 0.600 | 0.516 | 0.723 |
| 18 | 0.593 | 0.197 | 0.615 |
| 19 | 0.281 | 0.754 | 0.450 |
| 20 | 0.285 | 0.215 | 0.735 |
| 21 | 0.512 | 0.257 | 0.658 |
| 22 | 0.560 | 0.439 | 0.726 |
Structure matrix.
Polychoric correlation matrices: 500. Promax rotation, Kappa value of 4. Number of components: 3.