Table A1.
Results of fitting the weighted CoG model to the data from the mask condition (experiment 2a).
Leftward | Rightward | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Duration | Model | α | Slope | Int | SD | R2 | L | p | Duration | Model | α | Slope | Int | SD | R2 | L | p |
ML | ML | ||||||||||||||||
400 ms | W | 0.95 | 1.23 | 137 | 36 | 0.54 | 656.8 | 400 ms | W | 0.98 | 1.03 | −27 | 36 | 0.48 | 744.4 | ||
F | 1.00 | 1.15 | 99 | 36 | 0.54 | 657.0 | 0.52 | F | 1.00 | 1.01 | −16 | 36 | 0.48 | 744.5 | 1.00 | ||
F | 0.50 | 1.22 | 131 | 47 | 0.23 | 690.5 | <.001* | F | 0.50 | 0.96 | 11 | 46 | 0.14 | 781.1 | <.001* | ||
200 ms | W | 0.82 | 1.29 | 171 | 33 | 0.53 | 673.0 | 200 ms | W | 0.86 | 1.16 | −107 | 32 | 0.48 | 750.3 | ||
F | 1.00 | 0.97 | 19 | 34 | 0.50 | 676.6 | <.01* | F | 1.00 | 0.95 | −7 | 32 | 0.47 | 752.3 | <.05* | ||
F | 0.50 | 1.30 | 172 | 40 | 0.29 | 700.7 | <.001* | F | 0.50 | 1.09 | −73 | 39 | 0.23 | 780.9 | <.001* | ||
100 ms | W | 0.83 | 1.12 | 88 | 37 | 0.41 | 639.6 | 100 ms | W | 0.86 | 1.26 | −155 | 32 | 0.53 | 689.6 | ||
F | 1.00 | 0.85 | −43 | 38 | 0.39 | 641.2 | 0.07 | F | 1.00 | 1.02 | −40 | 33 | 0.52 | 692.0 | <.05* | ||
F | 0.50 | 1.18 | 117 | 43 | 0.21 | 657.5 | <.001* | F | 0.50 | 1.13 | −93 | 41 | 0.23 | 724.8 | <.001* | ||
SDK | SDK | ||||||||||||||||
400 ms | W | 0.67 | 1.20 | 108 | 27 | 0.50 | 633.0 | 400 ms | W | 0.72 | 1.15 | −77 | 31 | 0.38 | 699.7 | ||
F | 1.00 | 0.70 | −131 | 30 | 0.40 | 645.6 | <.0001* | F | 1.00 | 0.69 | 141 | 33 | 0.31 | 707.4 | <.0001* | ||
F | 0.50 | 1.25 | 129 | 29 | 0.43 | 642.1 | <.001* | F | 0.50 | 1.08 | −44 | 34 | 0.26 | 711.9 | <.001* | ||
200 ms | W | 0.76 | 0.95 | −2 | 34 | 0.34 | 665.7 | 200 ms | W | 0.63 | 0.89 | 38 | 28 | 0.31 | 798.9 | ||
F | 1.00 | 0.64 | −148 | 34 | 0.30 | 669.0 | <.01* | F | 1.00 | 0.46 | 244 | 30 | 0.20 | 811.6 | <.0001* | ||
F | 0.50 | 0.95 | 2 | 36 | 0.22 | 676.5 | <.001* | F | 0.50 | 0.86 | 54 | 29 | 0.28 | 803.2 | <.025* | ||
100 ms | W | 0.59 | 0.85 | −53 | 32 | 0.23 | 696.9 | 100 ms | W | 0.48 | 0.89 | 42 | 33 | 0.26 | 618.5 | ||
F | 1.00 | 0.37 | −285 | 34 | 0.11 | 706.9 | <.0001* | F | 1.00 | 0.30 | 325 | 37 | 0.08 | 632.3 | <.0001* | ||
F | 0.50 | 0.83 | −65 | 32 | 0.22 | 698.2 | 0.26 | F | 0.50 | 0.89 | 41 | 33 | 0.26 | 618.5 | 0.90 | ||
ES | ES | ||||||||||||||||
400 ms | W | 0.82 | 1.00 | 22 | 42 | 0.27 | 583.3 | 400 ms | W | 1.00 | 0.85 | 46 | 35 | 0.40 | 757.3 | ||
F | 1.00 | 0.76 | −90 | 43 | 0.25 | 584.7 | 0.10 | F | 1.00 | 0.85 | 46 | 35 | 0.40 | 757.3 | 1.00 | ||
F | 0.50 | 0.89 | −24 | 46 | 0.15 | 591.8 | <.001* | F | 0.50 | 0.87 | 38 | 42 | 0.14 | 784.7 | <.001* | ||
200 ms | W | 0.69 | 1.03 | 34 | 41 | 0.24 | 610.7 | 200 ms | W | 0.83 | 1.10 | −66 | 41 | 0.36 | 666.2 | ||
F | 1.00 | 0.61 | −168 | 42 | 0.19 | 614.3 | <.01* | F | 1.00 | 0.86 | 48 | 41 | 0.35 | 667.6 | 0.09 | ||
F | 0.50 | 1.04 | 38 | 42 | 0.19 | 614.5 | <.05* | F | 0.50 | 1.17 | −98 | 45 | 0.22 | 679.2 | <.001* | ||
100 ms | W | 0.69 | 1.07 | 62 | 33 | 0.39 | 657.1 | 100 ms | W | 0.88 | 1.14 | −84 | 38 | 0.39 | 648.3 | ||
F | 1.00 | 0.66 | −135 | 34 | 0.33 | 662.8 | <.001* | F | 1.00 | 0.96 | 1 | 39 | 0.38 | 649.2 | 0.17 | ||
F | 0.50 | 1.16 | 107 | 34 | 0.32 | 664.6 | <.001* | F | 0.50 | 1.02 | −24 | 44 | 0.18 | 667.3 | <.001* |
Model W is the model where α was free to vary.
Model F is a model where the value of α was fixed at either .5 or 1.0.
Slope and Int are the values of the slope and intercept of the given model (m and b in eq. A1).
SD is the root mean square error (RMSE) about the best fit line given by the model.
L the negative log of the maximum likelihood of the given model (eq. A2).
p values were obtained from testing the fit of Model W relative to the fits of two different versions of model F where α was fixed to be either .5 or 1.0 (df=1, see equation A4).
indicates Model W is a significantly better fit than Model F.