Hierarchical regression results model summary
| No. | Model | R | R² | Adjusted R² | Std error | F | p |
|---|---|---|---|---|---|---|---|
| 1 | Educational input | 0.901 | 0.812 | 0.758 | 5.303 | 14.84 | 0.00 |
| 2 | School-level process | 0.913 | 0.834 | 0.776 | 5.102 | 14.397 | 0.00 |
| 3 | Classroom level process | 0.921 | 0.848 | 0.786 | 4.983 | 13.648 | 0.00 |
| 4 | Combined | 0.923 | 0.852 | 0.781 | 5.041 | 12.051 | 0.00 |
| No. | Model | Adjusted | Std error | ||||
|---|---|---|---|---|---|---|---|
| 1 | Educational input | 0.901 | 0.812 | 0.758 | 5.303 | 14.84 | 0.00 |
| 2 | School-level process | 0.913 | 0.834 | 0.776 | 5.102 | 14.397 | 0.00 |
| 3 | Classroom level process | 0.921 | 0.848 | 0.786 | 4.983 | 13.648 | 0.00 |
| 4 | Combined | 0.923 | 0.852 | 0.781 | 5.041 | 12.051 | 0.00 |
P < 0.01, n = 32 schools. Predictors include quality enhancement practices variables. The dependent variable is students’ academic achievement
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