Table 6.
Study 1 Principal Axis Factor Analyses: New Measures Plus College-Admissions Tests (g-based). Rotated Principal-Factor Matrix a.
| Factor | ||
|---|---|---|
| 1 | 2 | |
| SAT Reading | −0.14 | 0.74 |
| SAT Math | 0.13 | 0.46 |
| ACT | −0.46 | 0.58 |
| Hypotheses (New) | 0.48 | −0.09 |
| Experiments (New) | 0.92 | 0.39 |
| Conclusions (New) | 0.55 | −0.11 |
| Extraction Method: Principal Axis Factoring. | ||
| Rotation Method: Varimax with Kaiser Normalization. | ||
| a Rotation converged in 3 iterations. | ||
Notes: Two principal factors had Eigenvalues greater than 1. Factor 1 had an Eigenvalue of 2.06, accounting for 34.3% of the variance in the data. Factor 2 had an Eigenvalue of 1.68, accounting for 28.0% of the variance in the data. Cumulative percent variance accounted for was 62.3%.