Table A6.
Statistical power for semi‐parametric bootstrap tests under contaminated normally distributed residuals for two intervention designs
| β | Design 1 (D1) | Design 2 (D2) | ||||||
|---|---|---|---|---|---|---|---|---|
| ρ = 0 | ρ = .2 | ρ = .5 | ρ = .7 | ρ = 0 | ρ = .2 | ρ = .5 | ρ = .7 | |
| 0.1 | .0475 | .0464 | .0541 | .0574 | .0422 | .0448 | .0550 | .0619 |
| 0.2 | .0582 | .0568 | .0537 | .0554 | .0483 | .0458 | .0597 | .0617 |
| 0.3 | .0660 | .0558 | .0614 | .0575 | .0585 | .0504 | .0577 | .0590 |
| 0.4 | .0788 | .0677 | .0649 | .0620 | .0742 | .0605 | .0606 | .0610 |
| 0.5 | .1027 | .0903 | .0699 | .0699 | .0936 | .0716 | .0649 | .0627 |
| 0.6 | .1261 | .0964 | .0847 | .0783 | .1144 | .0855 | .0718 | .0654 |
| 0.7 | .1596 | .1222 | .0951 | .0877 | .1409 | .0994 | .0774 | .0684 |
| 0.8 | .1842 | .1500 | .1132 | .0968 | .1701 | .1159 | .0841 | .0736 |
| 0.9 | .2293 | .1789 | .1328 | .1095 | .2051 | .1358 | .0924 | .0753 |
| 1 | .2721 | .2008 | .1423 | .1232 | .2433 | .1606 | .1007 | .0805 |
| 1.2 | .3420 | .2690 | .1950 | .1559 | .3149 | .2079 | .1215 | .0917 |
| 1.5 | .4711 | .3743 | .2638 | .2140 | .4282 | .2890 | .1587 | .1113 |
| 1.8 | .5805 | .4747 | .3468 | .2851 | .5355 | .3760 | .1992 | .1359 |
| 2 | .6509 | .5420 | .3935 | .3358 | .5978 | .4271 | .2299 | .1543 |
| 2.5 | .7828 | .6708 | .5315 | .4644 | .7384 | .5569 | .3157 | .2105 |
| 3 | .8705 | .7869 | .6564 | .5865 | .8305 | .6692 | .4105 | .2774 |
| 4 | .9675 | .9223 | .8331 | .7810 | .9338 | .8233 | .5635 | .4132 |
| 5 | .9923 | .9713 | .9218 | .8945 | .9746 | .9083 | .7016 | .5467 |
| 6 | .9975 | .9914 | .9688 | .9531 | .9887 | .9487 | .8083 | .6690 |
| 7 | .9998 | .9980 | .9877 | .9826 | .9957 | .9727 | .8671 | .7663 |
| 8 | 1 | .9994 | .9969 | .9935 | .9975 | .9822 | .9187 | .8343 |
| 9 | 1 | .9999 | .9981 | .9973 | .9981 | .9889 | .9446 | .8848 |
| 10 | 1 | 1 | .9997 | .9989 | .9985 | .9924 | .9626 | .9234 |