Table 2.

Fit indexes for the sequence of latent growth models for PML and SML

Latent Growth Model (LGM)	χ2	df	p	RMSEA	CI 90%	CFI	SRMR
PML
Intercept only LGM	489.1	208	< .01	.078	.069–.087	.921	.058
Piecewise LGM	308.7	201	< .01	.049	.038–.060	.970	.037
Conditional LGM	399.4	269	< .01	.047	.037–.057	.969	.034
Final Conditional LGM	410.2	279	< .01	.046	.036–.056	.969	.035
SML
Intercept only LGM	837.3	274	< .01	.095	.089–.104	.845	.055
Piecewise LGM	389.0	267	< .01	.046	.035–.055	.967	.029
Conditional LGM	492.7	347	< .01	.044	.035–.053	.966	.028
Final Conditional LGM	496.4	335	< .01	.047	.038–.056	.961	.092
Parallel LGMs
Parallel LGM	1811.1	919	< .01	.066	.062–.071	.939	.037
Final Parallel LGM	1815.9	928	< .01	.066	.061–.070	.939	.038

LGM = Latent growth model. χ² = Satorra−Bentler corrected Chi−Square statistic. df = degrees of freedom. RMSEA = Root mean squared error of approximation. RMSEA 90% CI = Root mean squared error of approximation with a 90% confidence interval. CFI =  Comparative Fit Index. SRMR = Standardized root−mean−square residual