Table 2.

Latent growth curve analyses: positive affect (N = 325)

	Estimate	S.E	Critical ratio (CR)	p-value
Positive affect (linear trajectory)
Intercept	15.96	.269	59.23	***
Slope	0.242	.071	3.39	***
Intercept ↔ Linear Slope	− 1.78	.386	− 5.11	***
Variance intercept	20.30	1.853	10.96	***
Variance slope	0.75	.117	6.36	***
χ2 (DF = 14) = 57.56, p < .001; CMIN/DF = 4.11; CFI = .93; TLI = .93; RMSEA = .10
Positive affect (quadratic trajectory)
Intercept	15.95	.274	58.26	***
Slope-Linear	0.39	.193	2.01	.044
Slope-Quadratic	− 0.04	.044	− 0.97	.332
Intercept ↔ Linear Slope	− 4.96	1.038	− 4.78	***
Intercept ↔ Quad. Slope	0.82	.229	3.57	***
Linear ↔ Quadratic	− 0.21	.196	− 1.07	.286
Variance intercept	20.89	1.918	10.89	***
Variance linear slope	2.39	.890	2.69	.007
Variance quadratic slope	− 0.01	.046	− 0.31	.758
χ2 (DF = 10) = 26.70, p < .003; CMIN/DF = 2.67; CFI = .98; TLI = .96; RMSEA = .07

∗∗Represents significant estimates at the 0.01 level

∗∗∗Represents significant estimates at the 0.001 level