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