Table 7.
Study 1 Rotated Principal-Components Matrix: Complete Set of Measures a.
| Component | |||
|---|---|---|---|
| 1 | 2 | 3 | |
| Hypotheses (New) | 0.69 | 0.03 | −0.40 |
| Experiments (New) | 0.81 | 0.14 | 0.19 |
| Conclusions (New) | 0.70 | −0.35 | 0.14 |
| Letter Sets | 0.17 | 0.42 | 0.55 |
| Number Series | −0.08 | −0.11 | 0.90 |
| SAT Reading | 0.02 | 0.87 | −0.04 |
| SAT Math | 0.15 | 0.39 | 0.54 |
| ACT | −0.30 | 0.73 | 0.25 |
| Hypotheses (Old) | 0.76 | 0.22 | −0.35 |
| Experiments (Old) | 0.84 | −0.26 | 0.02 |
| Conclusions (Old) | 0.81 | 0.01 | 0.28 |
| Extraction Method: Principal Component Analysis. | |||
| Rotation Method: Varimax with Kaiser Normalization. | |||
| a Rotation converged in 8 iterations. | |||
Notes: Three principal components had Eigenvalues greater than 1. Component 1 had an Eigenvalue of 3.76, accounting for 34.2% of the variance in the data. Component 2 had an Eigenvalue of 2.25, accounting for 20.4% of the variance in the data. Component 3 had an Eigenvalue of 1.48, accounting for 13.4% of variance in the data. Cumulative percent variance accounted for was 68%.