Sentence examples for model fit including from inspiring English sources

Using Hu and Bentler's (1999) specifications, two fit indices were used to determine model fit, including the Root Mean Square Error of Approximation (RMSEA), and the Standardized Root Square Residual (SRMR).

Standard methods were used to assess model fit, including residual analyses.

To test for non-linearity, we compared the model fit including only the linear term with the model fit including the linear and cubic spline terms using the likelihood ratio test.

Residual plots were used to check model fit, including in terms of possible heteroscedasticity or data points with high leverage.

Overall model fit, including the necessity for interaction terms, was ascertained using likelihood ratio statistics.[ 21] Tests of mixed (i.e., hierarchical or random effects) models,[ 22] where census tract was defined as a higher-level random effect, produced no evidence of clustering at the census tract level, indicating that the fixed effects approach was adequate.

Given that over-fitting can be a concern with our relatively small sample size, different analyses were conducted to assess model fit (including testing for multicollinearity) and results demonstrated that our models had good predictive performance and were not subject to over-fitting.

The Hosmer and Lemeshow Test showed that the best model fit included five variables (Table  5: chi square 9.94, p = 0.267) with 77.9% overall correct prediction (32.9% correct procedure group, and 92.7% no procedure group); only 8 cases misclassified as 'no procedure'.> -wrap-foot> *p < 0.001, ** p < 0.01, ***p < 0.05.

When results of model fits including metabolites were evaluated, again, parameter estimates obtained with KinGUII, gmkin and OpenModel, and, where tested, also with CAKE, were in very good agreement with deviations of less than 0.1%.

The model fitted included the fixed effect of test environment and sex and the linear and quadratic covariate of age at stocking.

The model fitting included testing two possible interactions.

The model fitted included white meat and red meat intakes, thus it captured total meat in the estimations.