TABLE 5.
Predictor | β estimate | Std. error | z value | p value | |||
Testing MomentPOSTTEST | −0.055 | 0.066 | −0.830 | 0.406 | |||
Gesture ConditionAV–P | 0.066 | 0.223 | 0.295 | 0.768 | |||
Gesture ConditionAV–I | −0.058 | 0.225 | −0.256 | 0.798 | |||
Phoneme/u/ | −0.139 | 0.356 | −0.390 | 0.696 | |||
Testing MomentPOSTTEST * Gesture ConditionAV–P | 0.428 | 0.093 | 4.478 | 0.000 | |||
Testing MomentPOSTTEST * Gesture ConditionAV–I | 0.086 | 0.093 | 0.917 | 0.359 | |||
Testing MomentPOSTTEST * Phoneme/u/ | 0.284 | 0.094 | 3.018 | 0.003 | |||
Gesture ConditionAV–P * Phoneme/u/ | 0.337 | 0.093 | 3.608 | 0.000 | |||
Gesture ConditionAV–I * Phoneme/u/ | 0.050 | 0.094 | 0.527 | 0.598 | |||
Testing MomentPOSTTEST * Gesture ConditionAV–P * Phoneme/u/ | −0.492 | 0.133 | −3.704 | 0.000 | |||
Testing MomentPOSTTEST * Gesture ConditionAV–I * Phoneme/u/ | 0.074 | 0.133 | 0.559 | 0.576 | |||
Random effects | Variance | Standard deviation | |||||
Participant | 1.225 | 1.107 | |||||
Speaker | 0.159 | 0.399 | |||||
Item | 0.245 | 0.495 |
The intercept represents the following combination of variable levels: Testing Moment = Pretest, Gesture Condition = AV, Phoneme = /θ/. Asterisks (∗) represent interactions, subscript signals the level of a categorical variable. Significant p-values are printed in bold. The model used in this analysis can be described as: Rating ∼ Testing Moment × Gesture Condition × Phoneme + (1| Participant) + (1 | Speaker) + (1 | Item).