Table 2.
Estimated fixed effects parameters of the regression model (LMM) used to analyze the intra-individual standard deviations of the estimated TTCs for the accelerating vehicles in relation to the mean estimated TTC (MestTTC), acceleration signal condition, and velocity at occlusion (vocc). Displayed are effect estimates (β), standard errors (SE), corrected degrees of freedom (df), t-, and p-values.
| β | SE | df | t | p | |
|---|---|---|---|---|---|
| (Intercept) | 0.06 | 0.04 | 62.09 | 1.55 | 0.127 |
| MestTTC | 0.19 | 0.01 | 406.94 | 26.03 | <0.001 |
| Acceleration signal condition | −0.02 | 0.05 | 384.31 | 0.45 | 0.654 |
| vocc | 0.02 | 0.05 | 383.81 | 0.50 | 0.618 |
| MestTTC × acceleration signal condition | 0.04 | 0.01 | 385.85 | 2.64 | 0.009 |
| MestTTC × vocc | 0.01 | 0.01 | 383.74 | 0.59 | 0.557 |
| Acceleration signal condition × vocc | 0.2 | 0.1 | 383.23 | 2.13 | 0.034 |
| MestTTC × acceleration signal condition × vocc | −0.09 | 0.03 | 383.45 | 3.48 | 0.001 |
Note: Bold font indicates statistical significance (p < 0.05).