Table 9 –

Statistical models predicting parental performance from earlier child production. The models include 335 data points, 32 parents of children with ASD and 35 parents of TD children.

	Parental word tokens	Parental word types	Parental MLU
R2m, R2	R2m = 0.61, R2 = 0.64	R2m = 0.2, R2 = 0.62	R2m = 0.49, R2 = 0.53
Predictor
Intercept	β = 2334.06, SE = 25.31, t-stat = 92.22, p < 0.0001	β = 462.65, SE = 7.91, t-stat = 58.45, p < 0.0001	β = 4.19, SE = 0.04, t-stat = 100.08, p < 0.0001
Diagnosis	Not Included	Not Included	β = −0.22, SE = 0.07, t-stat = −3.41, p = 0.003
Parental performance in the previous visit (same index as the outcome)	β = 0.74, SE = 0.04, t-stat = 20.92, p < 0.0001	β = 0.34, SE = 0.05, t-stat = 6.91, p < 0.0001	β = 0.47, SE = 0.04, t-stat = 10.52, p < 0.0001
Child word tokens	Not Included	Not Included	β = 0.00001, SE = 0.0001, t-stat = 0.01, p = 0.99
Child word types	Not Included	Not Included	Not Included
Child MLU	Not Included	β = 16.6, SE = 5.45, t-stat = 3.04, p = 0.0025	Not Included
Child word tokens: Diagnosis	Not Included	Not Included	β = 0.001, SE = 0.0002, t-stat = 3.94, p = 0.0002
Random effects	Child Intercept SD: 111.78 Residual SD: 389.39	Child Intercept SD: 59.81 Residual SD: 57.17	Child Intercept SD: 0.13 Residual SD: 0.46