Table 6 –

Statistical models of concurrent linguistic matching in parent-child dyads. The models include 395 data points, 32 children with ASD and 35 TD children.

	Parental word tokens	Parental word types	Parental MLU
R2m, R2	R2m = 0.14, R2 = 0.79	R2m = 0.16, R2 = 0.75	R2m = 0.39, R2 = 0.72
Predictor
Intercept	β = 2296.43, SE = 67.05, t-stat = 34.25, p < 0.0001	β = 451.00, SE = 10.27, t-stat = 43.92, p < 0.0001	β = 4.14, SE = 0.07, t-stat = 60.49, p < 0.0001
Child Production	β = 0.32, SE = 0.08, t-stat = 4.15, p < 0.0001	β = 0.35, SE = 0.06, t-stat = 5.67, p < 0.0001	β = 0.36, SE = 0.04, t-stat = 9.49, p < 0.0001
Diagnosis	Not Included	Not Included	β = −0.40, SE = 0.10, t-stat = −3.92, p = 0.0002
Visit	Not Included	β = 9.81, SE = 2.41, t-stat = 4.06, p = 0.0001	Not Included
MSEL VR	β = 39.83, SE = 15.17, t-stat = 2.63, p = 0.0106	Not Included	β = 0.02, SE = 0.01, t-stat = 1.67, p = 0.0991
Child Production : MSEL VR	Not Included	Not Included	β = 0.03, SE = 0.01, t-stat = 3.63, p = 0.0003
Random effects	Child intercept SD: 534.31 Visit slope SD: 85.61 Residual SD: 312.18	Child intercept SD: 81.11 Visit slope SD: 9.32 Residual SD: 53.33	Child intercept SD: 0.55 Visit slope SD: 0.11 Residual SD: 0.37