Table 3.

Parameter estimates of unconditional LGCMs for the trajectories of child weight aged 0–18 months old.

The Trajectory of Child Weight	Parameters	Coefficients	Z-Value	The Goodness of Fit Indices
Unconditional linear LGCM	Intercept	3.36 ***	219.02	${\mathsf{\chi }}^2\left(21\right)=1946.34$, p$<$ 0.001, CFI = 0.21, TLI = 0.28, SRMR = 0.69; RMSEA = 0.31 (0.30–0.32)
	slope	1.34 ***	150.28
Quadratic LGCM	Intercept	3.38 ***	204.59	${\mathsf{\chi }}^2\left(21\right)=1137.06$, p$<$ 0.001, CFI = 0.54, TLI = 0.49, SRMR = 0.44; RMSEA = 0.26 (0.24–0.27)
	slope	1.75 ***	94.86
	Quadratic slope	−0.08 ***	−25.09
Conditional LGCM	Intercept	3.35 ***	225.11	${\mathsf{\chi }}^2\left(18\right)=213.98$, p$<$ 0.001, CFI = 0.92, TLI = 0.91, SRMR = 0.19; RMSEA = 0.11 (0.10–0.12)
	slope	1.17 ***	80.71
Freely estimated LGCM with multiple imputation data	Intercept	3.35 ***	225.33	${\mathsf{\chi }}^2\left(42\right)=$ 576.29, p $<$ 0.001, CFI = 0.84, TLI = 0.83, SRMR = 0.18; RMSEA = 0.12 (0.11–0.13)
	slope	1.17 ***	80.86

*** represents p < 0.001. Abbreviation: LGCM, latent growth curves model; TLI, Tucker-Lewis index; CFI, comparative fit index; SRMR, standardized root mean square residual; RMSEA, root mean square error of approximation.