Table A1.
Statistical power for Wald 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 | .0719 | .0795 | .0844 | .0847 | .0716 | .0762 | .1052 | .1244 |
| 0.2 | .0951 | .0967 | .0975 | .0950 | .0948 | .0915 | .1099 | .1283 |
| 0.3 | .1341 | .1257 | .1183 | .1167 | .1297 | .1204 | .1243 | .1402 |
| 0.4 | .1870 | .1700 | .1516 | .1409 | .1825 | .1608 | .1439 | .1558 |
| 0.5 | .2613 | .2218 | .1888 | .1721 | .2561 | .2123 | .1719 | .1705 |
| 0.6 | .3475 | .2827 | .2362 | .2103 | .3357 | .2696 | .2007 | .1897 |
| 0.7 | .4427 | .3549 | .2901 | .2523 | .4257 | .3344 | .2345 | .2142 |
| 0.8 | .5394 | .4340 | .3466 | .3034 | .5226 | .4048 | .2758 | .2405 |
| 0.9 | .6343 | .5190 | .4134 | .3606 | .6081 | .4800 | .3182 | .2734 |
| 1 | .7145 | .5973 | .4773 | .4228 | .6954 | .5528 | .3690 | .3021 |
| 1.2 | .8532 | .7472 | .6065 | .5439 | .8380 | .6953 | .4748 | .3772 |
| 1.5 | .9592 | .8978 | .7819 | .7183 | .9531 | .8601 | .6212 | .4943 |
| 1.8 | .9912 | .9674 | .9007 | .8522 | .9902 | .9440 | .7561 | .6168 |
| 2 | .9976 | .9868 | .9476 | .9152 | .9969 | .9728 | .8263 | .6904 |
| 2.5 | .9997 | .9986 | .9903 | .9833 | .9997 | .9951 | .9360 | .8417 |
| 3 | .9999 | .9999 | .9990 | .9977 | .9998 | .9976 | .9781 | .9287 |
| 4 | 1.0000 | 1.0000 | 1 | 1 | .9999 | .9991 | .9939 | .9896 |
| 5 | 1 | 1 | 1 | 1 | .9999 | .9996 | .9985 | .9993 |
| 6 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |