Table 7.2.
GLME results for the relation between ALAR (time t) and proximity to the anti-phase pattern (time t + 500 ms) when considering only t’s on which the proximity was below 0.5 (at least 90° far from the 180° pattern).
| R2 = 0.11 | df = 1.30*105 | ||
|---|---|---|---|
| Fixed Effects | |||
| Name | Estimate (± SE)a | t-stat | p-value |
| Interceptb | −1.00 (± 0.13) | 7.46 | < .001 |
| Change (per month) | 0.01 (± 0.01) | 1.06 | .287 |
| ALAR | 0.24 (± 0.08) | 3.04 | .002 |
| No-Model | −0.37 (± 0.02) | 20.25 | < .001 |
| In-Phase Model | −0.42 (± 0.02) | 19.44 | < .001 |
| Change*ALAR | 0.01 (± 0.002) | 6.91 | < .001 |
| Change*No-Model | 0.02 (± 0.003) | 5.90 | < .001 |
| ALAR*No-Model | 0.10 (± 0.02) | 5.57 | < .001 |
| Change*In-Phase Model | 0.007 (± 0.003) | 2.34 | .019 |
| ALAR*In-Phase Model | 0.15 (± 0.02) | 6.80 | < .001 |
| Change*ALAR*No-Model | −0.01 (± 0.003) | 4.46 | < .001 |
| Change*ALAR*In-Phase Model | −0.03 (± 0.003) | 8.97 | < .001 |
| Random Effects | ||
|---|---|---|
| Name | Type | Estimate |
| Intercept | SD | 0.35 |
| Change (per Month) | SD | 0.02 |
| ALAR | SD | 0.21 |
| Residual | SD | 0.17 |
a
The estimates are not the proximity variable directly. This can be obtained by plugging these estimates into the logistic function.
b
The intercept refers to the estimate for the 15th month of age.