Table 3.

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

	Estimate	S.E	Critical ratio (CR)	p-value
Negative affect (linear trajectory)
Intercept	7.80	.208	37.59	***
Slope	3.69	.262	14.11	***
Intercept ↔ Linear Slope	− 0.15	1.047	− 0.15	.883
Variance intercept	10.07	1.127	8.94	***
Variance slope	7.74	1.506	5.14	***
χ2 (DF = 14) = 80.27, p < .001; CMIN/DF = 5.73; CFI = .89; TLI = .88; RMSEA = .12
Negative affect (quadratic trajectory)
Intercept	7.74	.208	37.28	***
Slope-Linear	2.59	.232	11.18	***
Slope-Quadratic	− 0.47	.058	− 8.05	***
Intercept ↔ Linear Slope	− 0.03	.887	− 0.04	.970
Intercept ↔ Quad. Slope	− 0.08	.217	− 0.36	.716
Linear ↔ Quadratic	− 0.81	.272	− 2.99	**
Variance intercept	10.72	1.127	9.51	***
Variance linear slope	4.32	1.140	3.79	***
Variance quadratic slope	0.16	.068	2.41	.016
χ2 (DF = 10) = 33.65, p < .001; CMIN/DF = 3.37; CFI = .96; TLI = .94; RMSEA = .09

∗∗Represents significant estimates at the 0.01 level

∗∗∗Represents significant estimates at the 0.001 level