Table 1.
Linear mixed-effects modeling (LMEM) for total power, cross-correlation and spikes distances.
| Total power | Cross-correlation | SPIKE-distance | |
|---|---|---|---|
| Fixed effects | |||
| β00: Intercept | 3.430 (0.066)∗∗∗ | 0.213 (0.008)∗∗∗ | 0.314 (0.006)∗∗∗ |
| β10: Trial | 0.005 (0.005) | -0.002 (0.001)∗ | 0.000 (0.000) |
| β20: Exp | -0.045 (0.069) | -0.011 (0.019) | 0.014 (0.010) |
| β30: Per | 0.106 (0.047)∗ | 0.021 (0.008)∗∗ | 0.000 (0.006) |
| β40: Exp∗Trial | 0.013 (0.006)∗ | 0.005 (0.002)∗∗ | -0.001 (0.001) |
| β60: Exp∗Per | -0.126 (0.058)∗ | -0.024 (0.015) | -0.003 (0.007) |
| β50: Per∗Trial | -0.007 (0.006) | 0.002 (0.001)∗ |
∗∗∗p < 0.001, ∗∗p < 0.01, ∗p < 0.05. The models are specified in terms of the fitted predictor parameters and random effects. Parameter standard errors are shown in brackets. Participant (PP) acts as a grouping factor. To interpret the coefficients, consider that both clear experience and joint click success were treated as predictors of the outcome variable and coded as time-dependent binary variables. Experience (Exp) = 0 indicated in a given trial means no clear experience and Exp = 1 clear experience. Similarly, in each trial Performance (Per) = 1 if both members produced a correct response and Per = 0 otherwise; the coefficient interpretation is analogous. Trial indicates a practice effect and an interaction with Trial indicates a condition-dependent practice effect.