Sentence examples for model with equality from inspiring English sources
Subsequently, a more stringent type of invariance was evaluated by considering a model with equality constraints imposed to factor loadings.
Statistical difference between replicates and strains were tested by comparing a model with equality constraints of K and r parameters between replicates of each strain, a model with equality constrains of K and r parameters between strains, and a model where parameters K and r were free to vary between strains and replicates; model selection was achieved using the AIC criterion [ 94- 96].
The model with equality constraints on slope factor fitted the data well suggesting that the trend of change in parents' behaviours were not different (χ(3) = 6.024, p =.11).
A model with equality constraints imposed to factor loadings also fitted the data well (SBχ = 255.83; df = 140; CFI = .97; NNFI = .97; RMSEA = .03; 95% C.I. [.03 .04]), and no statistically significant scaled chi-square difference between the restricted model and the configural invariance model was found.
A subsequent model with equality constraints imposed to both factor loadings and error variances also resulted in a good fit (SBχ = 264.96; df = 154; CFI = .98; NNFI = .98; RMSEA = .03; 95% C.I. [.02 .03]), with a nonsignificant scaled chi-square difference relative to the factor loadings invariance model.
For all outcomes (PA, intake of fruit and vegetables), the most simple model with equality of the intervention effects (TPC = TMI = combined) and equality of that effect at all time points (weeks 25, 47, and 73) did not fit significantly worse than the two more complicated models.
This is usually done by comparing models with equality constraints on different parameters across groups with the configural model (that is, a reasonable multi-group SEM without any invariance constraints).
As shown in the upper part of Table 3, comparison of the combined baseline models (with equality constraints) with the original unconstrained model yields a χ-difference value of 34.5 with 14 degrees of freedom, which is statistically significant at the.001 probability level.
In the following, we produce from the observation at the pilot symbol positions, with, an estimate of the coefficients, with, using the phase model (4) with equality.
In addition, the AIC of the models by age groups were 252.3 for the model without the equality restriction and 250.6 for the model with the equality restriction.
In order to assess whether the parameter estimates of the cross-lagged effects were comparable between the groups (PLBW and controls), we computed a base-line model with no equality constraints between parameters of the two groups.
