Table 3.

Parameters for the mean length of utterance in morphemes (MLU_m) model.

MLUm model effects	Model 1
	Est	SE	p <
MLUm model for the means
Intercept	1.800	0.435	.001
Linear age slope (0 = 10 years)	0.001	0.042	.980
Leiter IQ (0 = 52)	0.021	0.006	.001
Leiter IQ by linear	0.001	0.001	.754
Maternal commenting rate model for the means
Intercept (0 = 3.5)	0.890	0.167	.001
Linear age slope (0 = 12 years)	0.330	0.023	.001
Quadratic age slope	0.010	0.004	.015
MLUm model for the variance
Random intercept variance	0.169	0.051	.001
Linear age slope variance	0.001	0.002	.929
Intercept–age slope covariance	0.005	0.009	.571
Residual variance	0.191	0.025	.001
Maternal commenting rate model for the variance
Random intercept variance	0.843	0.209	.001
Linear age slope variance	0.011	0.005	.048
Intercept–age slope covariance	0.048	0.023	.036
Residual variance	0.829	0.108	.001
Cross-variable regressions
Commenting intercept to MLUm intercept	0.113	0.148	.447
Commenting age slope to MLUm age slope	0.165	0.157	.291
Commenting intercept to MLUm age slope	0.012	0.016	.464
Commenting slope to MLUm intercept	0.506	1.534	.742
Within dyad
Commenting residual to MLUm residual	−0.010	0.039	.798
Total effect
Commenting intercept to MLUm intercept	0.103	0.141	.467
Commenting age slope to MLUm age slope	0.155	0.149	.297

Note. This table contains the parameter estimates (Est) for each of the effects in the model, as well as the standard error (SE). The probability of each effect (p) is presented with significant values in bold. Leiter = Leiter International Performance Scale.