Factor Extraction/ Dataset | Factor Rotation Technique | ||||||||||||
Varimax | Equamax | Quartimax | |||||||||||
F1 | F2 | F3 | F4 | F1 | F2 | F3 | F4 | F1 | F2 | F3 | F4 | ||
Principal Component Extraction | Dataset 1 (54 Q-sorts): # of loaded Q-sorts # of distinguishing statements |
17 13 |
10 17 |
12 12 |
4 9 |
10 12 |
10 18 |
11 12 |
7 10 |
35 7 |
8 14 |
3 5 |
2 8 |
Dataset 2 (33 Q-sorts): # of loaded Q-sorts # of distinguishing statements |
13 4 |
8 6 |
5 10 |
2 11 |
4 12 |
5 5 |
5 10 |
8 7 |
26 1 |
1 7 |
2 6 |
1 3 | |
Dataset 3 (21 Q-sorts): # of Q-loaded sorts # of distinguishing statements |
10 14 |
6 19 |
4 11 |
- - |
7 13 |
7 19 |
5 11 |
- - |
11 16 |
6 19 |
4 15 |
- - | |
Principal Axis Factoring Extraction | Dataset 1 (54 Q-sorts): # of loaded Q-sorts # of distinguishing statements |
16 11 |
12 15 |
10 10 |
4 6 |
11 16 |
10 14 |
11 18 |
6 11 |
37 6 |
6 15 |
3 5 |
2 10 |
Dataset 2 (33 Q-sorts): # of loaded Q-sorts # of distinguishing statements |
13 5 |
8 4 |
5 11 |
2 12 |
3 8 |
5 5 |
5 10 |
8 5 |
28 3 |
0 - |
1 8 |
1 8 | |
Dataset 2 (21 Q-sorts): # of loaded Q-sorts # of distinguishing statements |
10 15 |
6 20 |
4 16 |
- - |
7 13 |
6 20 |
5 14 |
- - |
12 16 |
6 19 |
3 14 |
- - |