Table A5.

Statistical power for semi‐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	.0577	.0478	.0509	.0481	.0523	.0501	.0507	.0535
0.2	.0729	.0678	.0663	.0605	.0674	.0625	.0588	.0531
0.3	.1018	.0929	.0816	.0769	.0990	.0834	.0659	.0581
0.4	.1489	.1211	.1007	.0930	.1429	.1031	.0722	.0647
0.5	.2094	.1604	.1285	.1176	.1961	.1444	.0881	.0720
0.6	.2828	.2207	.1688	.1480	.2629	.1803	.1109	.0828
0.7	.3649	.2769	.2026	.1786	.3395	.2321	.1358	.0957
0.8	.4535	.3333	.2401	.2140	.4227	.2881	.1560	.1122
0.9	.5435	.4241	.3020	.2686	.5042	.3517	.1877	.1271
1	.6317	.4876	.3531	.3153	.5870	.4080	.2142	.1449
1.2	.7786	.6488	.4814	.4331	.7377	.5374	.2880	.1927
1.5	.9189	.8261	.6671	.6053	.8819	.7144	.4201	.2795
1.8	.9780	.9287	.8157	.7669	.9537	.8378	.5427	.3778
2	.9913	.9645	.8897	.8471	.9767	.8951	.6241	.4505
2.5	.9996	.9961	.9781	.9634	.9955	.9670	.7982	.6259
3	.9999	.9994	.9972	.9946	.9994	.9899	.9029	.7709
4	1	1	.9999	.9999	1	1	.9816	.9423
5	1	1	1	1	1	1	.9958	.9895
6	1	1	1	1	1	1	1	.9982
7	1	1	1	1	1	1	1	.9998
8	1	1	1	1	1	1	1	1
9	1	1	1	1	1	1	1	1
10	1	1	1	1	1	1	1	1