TABLE 4.
The pattern and structure matrix for PCA of the three-component solution of SCADS items.
| Item no. | Pattern matrix a | Structure matrix | Communalities | ||||
|---|---|---|---|---|---|---|---|
| Component | Component | ||||||
| 1 | 2 | 3 | 1 | 2 | 3 | ||
| Q4 | 0.956 | 0.954 | 0.924 | ||||
| Q3 | 0.956 | 0.954 | 0.924 | ||||
| Q2 | 0.827 | 0.798 | 0.698 | ||||
| Q6 | 0.969 | 0.944 | 0.904 | ||||
| Q5 | 0.969 | 0.944 | 0.904 | ||||
| Q7 | 0.622 | 0.626 | 0.412 | ||||
| Q8 | 0.395 | 0.461 | 0.321 | ||||
| Q1 | -0.707 | 0.687 | 0.741 | ||||
| Q9 | 0.653 | -0.622 | 0.519 | ||||
| Q10 | 0.404 | 0.438 | 0.316 | ||||
| Eigenvalue | 3.120 | 2.289 | 1.253 | 3.120 | 2.289 | 1.253 | |
| % of variance | 31.196 | 22.889 | 12.532 | 31.196 | 22.889 | 12.532 | |
Extraction method: principal component analysis (PCA).
Rotation Method: Oblimin with Kaiser normalization.
Rotation converged in nine iterations.