Table 4.
LME model of prediction accuracy and amplitude and latency of the TRF peaks in function of speech rate for the linguistic modela
| Rate | Rate2 | ||||||
|---|---|---|---|---|---|---|---|
| β | CI (95%) | p | β | CI (95%) | p | ||
| Prediction accuracy | −4.59 × 10– 5 | ±3.31 × 10– 5 | 0.0081 | Does not improve AIC | |||
| Phoneme surprisal | TRF amplitude | 6.81 × 10– 3 | ±2.82 × 10– 3 | <0.001 | Does not improve AIC | ||
| TRF latency | 5.47 × 10– 3 | ±4.20 × 10– 3 | 0.015 | Does not improve AIC | |||
| Cohort entropy | TRF amplitude | 4.21 × 10– 3 | ±3.07 × 10– 3 | 0.008 | Does not improve AIC | ||
| TRF latency | 3.59 × 10– 3 | ±5.11 × 10– 3 | NS | Does not improve AIC | |||
| Word surprisal | TRF amplitude | 6.46 × 10– 3 | ±3.09 × 10– 3 | <0.001 | Does not improve AIC | ||
| TRF latency | −3.33 × 10– 3 | ±5.38 × 10– 3 | NS | Does not improve AIC | |||
| Word frequency | TRF amplitude | 6.44 × 10– 3 | ±3.00 × 10– 3 | <0.001 | Does not improve AIC | ||
| TRF latency | −1.09 × 10– 4 | ±3.06 × 10– 3 | NS | Does not improve AIC | |||
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↵aEvery line indicates a different model.
