Table 3. Correlation matrix between factor scores based on principal axis factoring extraction and different rotation techniques.
Dataset 1: Marijuana Legalization | ||||||||||
No-rotation | Varimax | Equamax | ||||||||
F1 | F2 | F3 | F1 | F2 | F3 | F1 | F2 | F3 | ||
Varimax |
F1 | 0.75 * | 0.01 | -0.65 | ||||||
F2 | 0.54 | -0.65 * | 0.53 | |||||||
F3 | 0.46 | 0.75 * | 0.48 | |||||||
Equamax |
F1 | 0.67 | 0.01 | -0.74 * | 0.99 | -0.04 | -0.04 | |||
F2 | 0.58 | 0.67 * | 0.48 | 0.13 | 0.12 | 0.99 | ||||
F3 | 0.55 | -0.73 * | 0.42 | 0.13 | 0.99 | -0.10 | ||||
Quartimax |
F1 | 0.96 * | -0.21 | -0.17 | 0.84 | 0.57 | 0.20 | 0.77 | 0.33 | 0.61 |
F2 | 0.31 | 0.78 * | 0.56 | -0.13 | -0.05 | 0.98 | -0.19 | 0.95 | -0.18 | |
F3 | -0.04 | 0.60 | -0.80 * | 0.51 | -0.83 | 0.05 | 0.58 | 0.01 | -0.79 |
* Matched factors with no-rotation factors.