Sentence examples for model fit measures from inspiring English sources

AMOS analytical results for the study model and estimates for the model fit measures are analyzed.

However, the internal model D, which considers perceived autonomy as a partial mediator and also allows for a direct effect of FWPs on organizational attachment, has significantly better model fit measures (Δχ 2 = 32.50, p < 0.001; ΔAIC = 30.50), supporting Hypothesis 6.

The model fit measures indicated that the questionnaire reasonably represented the data set (p > 0.05, RMSEA < 0.08, and CFI = 1.00).

The chi-square test of model fit measures the degree to which the data depart from the specified model.

These variables were excluded from the multiple regression model if they became insignificant (p < 0.05), did not improve model fit (measured by AIC and BIC), or significantly inflated variance (see Additional file 1: Table S1 for the complete results from the simple logistic regression).

For both models, the correlation structure was selected based on the model fit, measured by the quasi-likelihood under the independence model criterion [ 23].

We then checked to see if model fit (measured by adjusted R) would be improved by any combination of multiple markers in the model.

ΔAIC and Δdeviance are respectively the difference in model fit measure AIC and the difference in deviance between the intercept-only model and the model including height and height (negative values mean better model fit).

The model fit, measured by AIC, was consistently better for the stepwise model for oral antihistamines, and largely better for the stepwise mode for nasal antiallergics, compared to the full and the unadjusted models.

We also display model fit measured by Akaike's Information Criteria (AIC), for the fully adjusted, the stepwise, and the unadjusted model, based on individuals with complete covariate information data (n = 5736).

In a multigroup analysis, the target model was examined in participants with and without a history of mental health problems to determine whether findings applied to both groups by constraining key parameters/path coefficients to be equal across groups and exploring whether model fit (measured by chi-square goodness of fit test) significantly improved when these constraints were removed.