Table A3.
Statistical power for parametric bootstrap tests under 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 | .0591 | .0552 | .0553 | .0574 | .0556 | .0527 | .0518 | .0558 |
| 0.2 | .0753 | .0640 | .0621 | .0635 | .0736 | .0606 | .0559 | .0573 |
| 0.3 | .1118 | .0853 | .0754 | .0723 | .1091 | .0821 | .0672 | .0605 |
| 0.4 | .1524 | .1233 | .1011 | .0925 | .1519 | .1100 | .0790 | .0628 |
| 0.5 | .2187 | .1663 | .1247 | .1174 | .2186 | .1432 | .0899 | .0722 |
| 0.6 | .2936 | .2168 | .1597 | .1409 | .2860 | .1856 | .1098 | .0891 |
| 0.7 | .3781 | .2804 | .2049 | .1836 | .3745 | .2364 | .1296 | .0962 |
| 0.8 | .4638 | .3425 | .2471 | .2172 | .4586 | .2874 | .1501 | .1181 |
| 0.9 | .5658 | .4215 | .3042 | .2705 | .5474 | .3410 | .1780 | .1368 |
| 1 | .6476 | .4957 | .3548 | .3097 | .6365 | .4136 | .2187 | .1474 |
| 1.2 | .7987 | .6402 | .4718 | .4241 | .7943 | .5468 | .2844 | .1944 |
| 1.5 | .9349 | .8310 | .6627 | .6006 | .9236 | .7166 | .4022 | .2732 |
| 1.8 | .9839 | .9352 | .8143 | .7603 | .9789 | .8395 | .5403 | .3717 |
| 2 | .9935 | .9660 | .8882 | .8453 | .9930 | .8935 | .6146 | .4446 |
| 2.5 | .9997 | .9969 | .9727 | .9585 | .9994 | .9672 | .7948 | .6115 |
| 3 | .9999 | .9999 | .9976 | .9943 | .9996 | .9889 | .8964 | .7610 |
| 4 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | .9977 | .9769 | .9373 |
| 5 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | .9999 | .9987 | .9961 | .9878 |
| 6 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | .9998 | .9977 | .9977 |
| 7 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1 | .9999 | .9996 | .9996 |
| 8 | 1.0000 | 1 | 1 | 1 | 1 | 1.0000 | .9999 | .9999 |
| 9 | 1 | 1 | 1 | 1 | 1 | 1.0000 | 1.0000 | 1.0000 |
| 10 | 1 | 1 | 1 | 1 | 1 | 1 | 1.0000 | 1.0000 |