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The nonsignificant value of 1.20 for the lack of fit showed that the quadratic model adequately fits the observed data for the present study.
The first four fit indices values of.90 or above, and RMSEA value of.08 or less indicated the model adequately fits the data [51], [52].
The model adequately fits both prior physiological information and experimental data.
The Hosmer-Lemeshow goodness-of-fit test for the multivariate logistic regression model was not significant (p = 0.611), indicating that the model adequately fits the data.
The first four fit indices values of.90 or above, and an RMSEA value of.08 or less indicated the model adequately fits the data [ 32].
We found that the two-single factor model adequately fits, to almost the same degree as the single factor model (RMSEA, 0.047; 90% CI, 0.045 0.049; probability of RMSEA <0.05, 98.9%; CFI, 0.896; and TLI, 0.893).
Similar(52)
A χ2 test was used to evaluate model fit, by determining whether the covariance structures implied by the model adequately fit the actual covariance structures of the data.
The lack of fit test result for the model was significant at p < 0.0001, indicating that the model adequately fit the friction measurement data.
The results showed that the Herschel-Bulkley model adequately fit the rheology data, and high superplasticizer dosages in CGA concretes inhibited the negative influence of CGA on the plastic viscosity.
Hosmer-Lemeshow Goodness-of-Fit test was done at final step for each cytokine/stimuli, to ensure that the final model adequately fit the data.
Therefore, the empirical model adequately fitted on the experimental results.
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