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Root mean square approximation.

Finally, within parsimony adjustment indices, the errors of the root mean square approximation (RMSEA) whose values < 0.08 are good to accept the model [38] were also calculated.

In addition to a nonsignificant chi square (χ2), allowing a rejection of the null hypothesis (i.e. an unacceptable representation of the data), a good-fitting model was considered to have a comparative fit index (CFI) ≥0.95 and a root mean square approximation of variance (RMSEA) significantly smaller than 0.05 [61], [61].

Model fit was assessed using several approaches, including the chi-square test, comparative fit index (CFI), Tucker-Lewis index (TLI), and root mean square error approximation (RMSEA).

Root mean square error approximation [ 25] was 0.03 with 90% confidence interval upper bound of 0.06, which is considered a good fit.

The Standardized Root Mean Square Residual (SRMR) and the root mean square error of approximation (RMSEA) of the PSCHO were 0.069 and 0.071 respectively.

The estimate for root mean square error of approximation (RMSEA) was 0.048 and the 90% confidence interval (CI) was 0.045 0.050.

The model fit was evaluated calculating the incremental fit index (CFI > 0.95), Standardized Root Mean Square Residual (SRMR < 0.08) and Root mean square error of approximation (RMSEA < 0.06).

Root mean square error of approximation.

RMSEA root mean square error of approximation, CFI comparative fix index, GFI goodness of fit index, IFI incremental fit index.

Results of SEM (N = 8,244; comparative fit index = 0.999; Tucker Lewis index = 0.999; root mean square error of approximation = 0.014; weighted root mean square residual = 0.749) described the hierarchical impact of the direct predictors, moderators, and mediators of obesity.