Table 5.

ANOVA statistics of the dependent variables.

Effect	Parameter
	ML trunk tilt	AP trunk tilt	ML trunk acceleration	AP trunk acceleration
Feedback	F(1, 6) = 86.645, p < 0.001	F(1, 6) = 0.497, p=0.507	F(1, 6) = 104.653, p < 0.001	F(1, 6) = 0.165, p=0.699
Stance	F(1, 6) = 2368.311, p < 0.001	F(1, 6) = 2120.584, p < 0.001	F(1, 6) = 1500.545, p < 0.001	F(1, 6) = 2900.932, p < 0.001
Surface	F(1, 6) = 5434.270, p < 0.001	F(1, 6) = 2305.391, p < 0.001	F(1, 6) = 4238.458, p < 0.001	F(1, 6) = 2899.990, p < 0.001
Feedback × stance	F(1, 6) = 10.457, p=0.018	F(1, 6) = 0.181, p=0.686	F(1, 6) = 2.500, p=0.165	F(1, 6) = 0.062, p=0.811
Feedback × surface	F(1, 6) = 23.599, p=0.003	F(1, 6) = 2.351, p=0.176	F(1, 6) = 0.600, p=0.468	F(1, 6) = 0.628, p=0.458
Stance × surface	F(1, 6) = 42.320, p=0.001	F(1, 6) = 13.773, p=0.010	F(1, 6) = 7.235, p=0.036	F(1, 6) = 26.467, p=0.002
Feedback × surface × stance	F(1, 6) = 18.800, p=0.005	F(1, 6) = 0.129, 0.732	F(1, 6) = 0.001, p=0.981	F(1, 6) = 0.043, p=0.842