Table 2.
GEE models for basic predictors of average number of clicks (EEfRT)
| Effect | β | se | χ² | p |
|---|---|---|---|---|
| Model 1 | ||||
| Reward magnitude | 5.11 | 0.40 | 160.13 | <.001 |
| Probability 50%a | 17.10 | 1.69 | 102.26 | <.001 |
| Probability 88%a | 25.36 | 1.86 | 185.97 | <.001 |
| Probability 50%a × Reward magnitude | 0.37 | 0.36 | 1.07 | .302 |
| Probability 88%a × Reward magnitude | −1.04 | 0.35 | 8.58 | .003 |
| Trial | −0.26 | 0.04 | 45.73 | <.001 |
| Hand | 11.99 | 0.85 | 199.49 | <.001 |
| Block | −1.52 | 0.85 | 3.22 | .073 |
| MaxMot-L | 0.43 | 0.15 | 8.12 | .004 |
| MaxMot-R | 0.22 | 0.11 | 4.19 | .041 |
| Model 2 | ||||
| MaxMot-L × Hand | −0.16 | 0.08 | 3.52 | .061 |
| MaxMot-R × Hand | 0.18 | 0.06 | 8.35 | .004 |
| Model 3 | ||||
| MaxMot-L × Reward | −0.01 | 0.02 | 2.38 | .683 |
| MaxMot-R × Reward | 0.03 | 0.02 | 0.17 | .123 |
| Model 4 | ||||
| MaxMot-L × Probability 50%a | −0.01 | 0.06 | 0.05 | .817 |
| MaxMot-L × Probability 88%a | −0.06 | 0.07 | 0.75 | .386 |
| MaxMot-R × Probability 50%a | 0.07 | 0.08 | 0.84 | .359 |
| MaxMot-R × Probability 88%a | 0.09 | 0.08 | 1.26 | .262 |
Note. All models included probability (categorical), reward magnitude, trial number, block, hand as within-subjects variables, and MaxMot-L and MaxMot-R as between subject variables; χ² = Wald chi-square; β = regression coefficient; significant effects in bold.
a
Reference category: 12% probability.