Table 2.
Mixed regression effects model
| Dependent Variable (VD) |
|||
|---|---|---|---|
| Perceived Angle of Tilt° | Perceived Horizontal Translation, cm | Perceived Radius, cm | |
| Independent Variable | |||
| Radius (A), cm | −0.4 | 0.2* | 0.7* |
| y-axis nulling (B) | 0.9 | −0.76 | −17.0* |
| z-axis nulling (C) | −0.4 | −7.4* | −12.7* |
| z-axis doubling (D) | 1.1 | 9.4 | 16.8* |
| Intercept (E) | 10.7 | 11.4 | −3.3 |
The effect of the independent variables and intercept on the dependent variables (VD) can be expressed as VD + Aw + Bx + Cy + Dz + E., where x, y, and z are 0 (absent) or 1 (present). Significant (P < 0.05) effects are marked *. y-axis nulling was marginally significant for horizontal translation (P = 0.055).