Table 3.

Parameter Estimates for Growth (Top) and Predictor (Bottom) Models for Adaptive Behavior

Variable	ABC		Communication		Daily Living		Socialization		Motor Skills
	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE
Fixed Effects
Growth Variables
Intercept	116.21***	4.38	29.49***	1.62	21.72***	1.33	36.01***	1.22	29.18***	.94
Linear	3.35***	.17	.87***	.06	1.05***	.07	.42***	.11	.98***	.07
Quadratic	−.017***	.002	−.005***	.0005	−.004***	.0006	.005	.003	−.01***	.002
Cubic							−.00006**	.00002	.00006***	.00002
Random Effects
Intercept	738.9***	174.3	111.50***	24.6	45.89***	14.65	27.16**	9.97	22.63***	6.51
Linear	.600***	.13	.06***	.01	.09***	.02	.04***	.01	.005**	.002
Covariance	13.07***	3.60	1.31***	.43	1.58***	.41	.52*	.21	.21**	.08
Residual	258.6***	29.29	26.27***	2.95	44.19***	5.06	36.71***	4.10	17.36***	2.01
Model Fit
-2 log likelihood	2523.1		1934.0		2005.08		1925.6		1689.4
BIC	2551.2		1962.1		2033.8		1957.6		1721.5

Predictors Added
Variable	ABC		Communication		Daily Living		Socialization		Motor Skills
	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE
Fixed Effects
Growth Variables
Intercept	117.67***	3.23	29.83***	1.79	21.71***	1.14	36.65***	1.04	29.21***	.80
Linear	3.27***	.17	.85***	.05	1.04***	.06	.35**	.11	.98***	.07
Quadratic	−.017***	.002	−.004***	.0005	−.004***	.0006	.006*	.003	−.01***	.002
Cubic							−.00007**	.00002	.00006***	.00002
Predictors
CARS intercept	−1.27***	.58	−.45	.23	−.46*	.19	−.35	.20	−.16	.12
CARS linear	−.07***	.02	−.02**	.006	−.02**	.007	.02	.02	−.005*	.002
CARS quadratic							−.001*	.0005
CARS cubic							.00001*	. 0000004
NV intercept	1.91***	.38	.68***	.15	.24	.15	.48***	.09	.27**	.09
NV linear					.02**	.007			.01*	.004
NV quadratic					−.0001*	.0001			−.0001*	.00004
Random Effects
Intercept	253.61**	84.5	50.44***	13.2	17.34*	9.52	2.34	5.52	7.96*	3.72
Linear	.43***	.10	.05**	.01	.05***	.01	.03***	.01	.004*	.002
Covariance	3.92***	2.03	.40	.27	.53*	.24	.16	.14	.09	.06
Residual	258.9***	29.36	26.28***	2.96	43.28***	4.97	36.07***	4.05	16.48***	1.89
Model Fit
-2 log likelihood	2475.3		1895.1		1956.6		1874.6		1638.1
BIC	2515.4		1935.1		2004.7		1957.6		1690.2

Note. SE = Standard error. BIC = Bayesian information criterion

^***= < .001,

^**= < .01,

^*= < .05