Table 2. Bounding estimation results for small, medium and large effect sizes.
95% conf. interval | ||||||||
---|---|---|---|---|---|---|---|---|
Lower | Upper | Diff. | %-gain | Lower | Upper | Diff. | %-gain | |
Unconditional Lee Bound | ||||||||
Small (d = 0.2) | -0.280 | -0.162 | 0.118 | . | -0.297 | -0.145 | 0.153 | . |
Medium (d = 0.4) | -0.560 | -0.325 | 0.235 | . | -0.595 | -0.289 | 0.306 | . |
Large (d = 0.8) | -1.119 | -0.650 | 0.470 | . | -1.189 | -0.578 | 0.610 | . |
Conditional Lee Bound (Female) | ||||||||
Small (d = 0.2) | -0.281 | -0.164 | 0.117 | 0.825 | -0.298 | -0.147 | 0.152 | 0.655 |
Medium (d = 0.4) | -0.557 | -0.326 | 0.231 | 1.836 | -0.591 | -0.291 | 0.300 | 1.768 |
Large (d = 0.8) | -1.123 | -0.644 | 0.479 | -1.961 | -1.193 | -0.573 | 0.620 | -1.540 |
Random Forest Lee Bound (Female, Pre-score) | ||||||||
Small (d = 0.2) | --0.269 | -0.175 | 0.094 | 19.818 | -0.287 | -0.155 | 0.132 | 13.294 |
Medium (d = 0.4) | -0.533 | -0.338 | 0.196 | 16.802 | -0.570 | -0.297 | 0.272 | 10.933 |
Large (d = 0.8) | -1.069 | -0.677 | 0.392 | 16.609 | -1.142 | -0.597 | 0.545 | 10.665 |