Table 5.

Results of Bayesian GLMM for the director task in the rTJP experiment comparing theta with beta tACS. We report the upper and lower borders of the 95% HDI of the posterior distributions. SEM are in brackets. Significant effects are highlighted in bold

PredictorEstimate (SE)2.5%97.5%
Intercept3.52 (0.34)2.934.25
tACStheta-beta−0.26 (0.40)−1.020.55
Condition−0.32 (0.70)−1.691.11
Discomfort0.05 (0.22)−0.360.50
tACStheta-beta × Condition−1.28 (0.51)−2.28−0.23
PredictorEstimate (SE)2.5%97.5%
Intercept3.52 (0.34)2.934.25
tACStheta-beta−0.26 (0.40)−1.020.55
Condition−0.32 (0.70)−1.691.11
Discomfort0.05 (0.22)−0.360.50
tACStheta-beta × Condition−1.28 (0.51)−2.28−0.23
Table 5.

Results of Bayesian GLMM for the director task in the rTJP experiment comparing theta with beta tACS. We report the upper and lower borders of the 95% HDI of the posterior distributions. SEM are in brackets. Significant effects are highlighted in bold

PredictorEstimate (SE)2.5%97.5%
Intercept3.52 (0.34)2.934.25
tACStheta-beta−0.26 (0.40)−1.020.55
Condition−0.32 (0.70)−1.691.11
Discomfort0.05 (0.22)−0.360.50
tACStheta-beta × Condition−1.28 (0.51)−2.28−0.23
PredictorEstimate (SE)2.5%97.5%
Intercept3.52 (0.34)2.934.25
tACStheta-beta−0.26 (0.40)−1.020.55
Condition−0.32 (0.70)−1.691.11
Discomfort0.05 (0.22)−0.360.50
tACStheta-beta × Condition−1.28 (0.51)−2.28−0.23
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