Factor | 1 | 2 | 3 | 4 |
---|
1 | 1000 | –0,380 | –0,459 | 0,279 |
2 | –0,380 | 1000 | 0,259 | 0,017 |
3 | –0,459 | 0,254 | 1000 | -0,157 |
4 | 0,279 | 0,017 | -0,157 | 1000 |
- Extraction Method: Unweighted Least Squares. Rotation Method: Oblimin with Kaiser Normalization, Imputation 1
- aIf correlations between factors are > 0.3, oblique rotation is the recommended approach because it produces a clearer result than orthogonal