Table 5.
Hierarchical regression analysis predicting academic performance of pre-university students.
| Steps | Predictors | B | SE B | Β |
|---|---|---|---|---|
| 1 | (Constant) (R2 = .018) | 109.746 | 6.869 | |
| GENDER | -1.972 | 1.176 | -.080∗ | |
| AGE | .697 | .334 | .099 | |
| 2 | (Constant) (ΔR2 = .173) | 74.688 | 7.213 | |
| GENDER | -1.533 | 1.069 | -.062 | |
| AGE | .675 | .304 | .096 | |
| Self-directed learning | .900 | .093 | .417∗∗ | |
| 3 | (Constant) (ΔR2 = .324) | 55.490 | 5.702 | |
| GENDER | -1.766 | .829 | -.071 | |
| AGE | .446 | .236 | .063 | |
| Self-directed learning | .576 | .074 | .266∗∗ | |
| Interpersonal | 2.060 | .120 | .590∗∗ | |
| 4 | (Constant) (ΔR2 = .297) | 22.021 | 3.771 | |
| GENDER | -.492 | .518 | -.020 | |
| AGE | .268 | .147 | .038 | |
| Self-directed learning | .147 | .049 | .068 | |
| Interpersonal | 1.500 | .078 | .429∗∗ | |
| Intrapersonal | 1.506 | .057 | .619∗∗ |
Note: ∗∗p < 0.01, ∗p < 0.05, ΔR2 = R square change, B = unstandardized beta, SE B = standard error for unstandardized beta, β = standardized beta, gender is coded 1 for female and 2 for male, real age is used.