Table 3.
Non-linear regression coefficients and their significance tests for the inverse-linear logistic function fit to microsaccades.
Parameter | Estimate | SE | t-test |
---|---|---|---|
Experiment 1. Fixating @ 500 Hz | |||
Va | 236.22 | 4.71 | t(22347) = 50.18, p < 0.001 |
A1 | 0.16 | 0.02 | t(22347) = 8.25, p < 0.001 |
A2 | 3.93 | 0.07 | t(22347) = 53.76, p < 0.001 |
A0 | -0.48 | 0.007 | t(22347) = -71.73, p < 0.001 |
Experiment 2. Fixating @ 300 Hz | |||
Va | 188.58 | 3.87 | t(14146) = 48.62, p < 0.001 |
A1 | 0.11 | 0.02 | t(14146) = 5.33, p < 0.001 |
A2 | 3.37 | 0.07 | t(14146) = 47.28, p <0.001 |
A0 | -0.64 | 0.008 | t(14146) = 81.63, p < 0.001 |
Experiment 3. Free viewing @ 500 Hz | |||
Va | 323.29 | 8.95 | t(57351) = 36.11, p < 0.001 |
A1 | 0.71 | 0.05 | t(57351) = 15.39, p < 0.001 |
A2 | 5.79 | 0.12 | t(57351) = 47.47, p < 0.001 |
A0 | -0.18 | 0.008 | t(57351) = 22.96, p < 0.001 |