Table 2.

Model fit statistics

Statistic	Description	Interpretation	Final model	Final model + age	Final model + BMI
Χ2/df	Chi-square statistic normalized to model degrees of freedom that accounts for sample size	≤ 2 indicates a good fitting model	1.09	0.78	0.99
RMSEA	Root Mean Square Error of Approximation	≤ 0.07 indicates a good fitting model	0.05	< 0.001	< 0.001
CFI	Comparative Fit Index is a revised form of the Normed-Fit Index that accounts for sample size and is normed to 0–1.0	≥ 0.95 indicates a good fitting model	0.97	1.0	1.0
TLI	Tucker-Lewis Index, or Non-Normed Fit Index, is a revised form of the Normed-Fit Index considered more appropriate for small sample sizes	≥ 0.95 indicates a good fitting model	0.91	1.27	1.01