Table 3.

Fit indices for measurement invariance, unconditional latent growth model (LGM), and trajectory model.

Model	X2	df	CFI	TLI	RMSEA [90% CI]	ΔCFI	ΔRMSEA	ΔWLSMV X2 (Δdf)
MEASUREMENT INVARIANCE
Configural	296.14***	72	0.98	0.97	0.030 [0.027–0.034]	–	–	–
Metric	267.04***	80	0.98	0.98	0.026 [0.023–0.030]	0.003	0.004	4.409 (8)ns
Scalar	567.86***	100	0.96	0.96	0.037 [0.034–0.040]	0.025	0.011	388.26(20)***
Unconditional LGM	320.94***	89	0.98	0.98	0.028 [0.025–0.031]	–		–
TRAJECTORY MODEL
Conduct Age 4	311.11***	124	0.96	0.95	0.021 [0.018–0.024]			–
Conduct Age 5	319.41***	124	0.96	0.95	0.022 [0.019–0.025]
Conduct Age 6	312.37***	124	0.96	0.95	0.021 [0.018–0.024]

X², chi-square; df, degree of freedom; CFI, comparative fit index; TLI, Tucker-Lewis Index; RMSEA, root mean square error of approximation with 95% confidence interval; ΔCFI, change in comparative fit index; ΔWLSMV X², change in WLSMV chi-square using chi-square difference test; Δdf – change in degree of freedom.

^***p < 0.001;

^nsnonsignificant.