Skip to main content
. Author manuscript; available in PMC: 2020 Feb 1.
Published in final edited form as: Cognition. 2018 Nov 2;183:1–18. doi: 10.1016/j.cognition.2018.10.022

Table 4 –

Statistical models of longitudinal trajectories in parental linguistic performance. The models include 395 data points, 32 parents of children with ASD and 35 parents of TD children.

Word tokens Word types MLU

R2m, R2 R2m = 0.11, R2 = 0.82 R2m = 0.07, R2 = 0.77 R2m = 0.27, R2 = 0.70

Predictor
Intercept β = 2284.70, SE = 67.43, t-stat = 33.88, p < 0.0001 β = 445.60, SE = 10.64, t-stat = 41.87, p < 0.0001 β = 3.27, SE = 0.31, t-stat = 10.52, p < 0.0001
Visit Not Included β = 17.17, SE = 2.01, t-stat = 8.55, p < 0.0001 β = 0.31, SE = 0.07, t-stat = 4.60, p < 0.0001
Visit2 Not Included Not Included β = −0.03, SE = 0.01, t-stat = −3.17, p = 0.0023
Diagnosis Not Included Not Included β = −0.54, SE = 0.10, t-stat = −5.21, p < 0.0001
Mullen Visual Reception (VR) β = 51.13, SE = 15.06, t-stat = 3.40, p = 0.0012 Not Included β = 0.04, SE = 0.01, t-stat = 3.15, p = 0.0025
Random Effects Child intercept SD: 547.10 Visit slope SD: 321.87 Visit2 slope SD: 38.16 Residual SD: 293.95 Child intercept SD: 87.90 Visit slope SD: 45.59 Visit2 slope SD: 5.33 Residual SD: 52.44 Child intercept SD: 0.41 Visit slope SD: 0.30 Visit2 slope SD: 0.03 Residual SD: 0.38