Table 4.

Mean scores for the growth factors of the 3-class unconditional and conditional model.

Growth Factors	Class 1 (High)		Class 2 (Delayed)		Class 3 (Low)
	Mean	SE	Mean	SE	Mean	SE
Unconditional Model (N = 1074)
Intercept	10.575∗∗∗	0.611	5.270∗∗∗	0.742	3.840∗∗∗	0.253
Linear parameter	-0.179∗∗∗	0.093	0.971∗∗∗	0.175	-0.247∗∗∗	0.022
Quadratic parameter	0.011∗∗∗	0.004	-0.039∗∗∗	0.007	0.008∗∗∗	0.001
Conditional Model (N = 975)
Intercept	9.529∗∗∗	0.611	6.614∗∗∗	0.742	3.933∗∗∗	0.253
Linear parameter	-0.141∗∗∗	0.093	0.677∗∗∗	0.175	-0.255∗∗∗	0.022
Quadratic parameter	0.013∗∗∗	0.004	-0.028∗∗∗	0.007	0.009∗∗∗	0.001

Since the variances of respective intercepts, linear parameters, and quadratic parameters were set invariant across the classes their values were the same across classes. The variance (SE) for intercepts, linear parameters, and quadratic parameters for the conditional model were 7.671 (1.256), 0.015 (0.003), and 0.001 (0.001), respectively. ^∗∗∗p < 0.001.