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Results suggest good model fit for both the structural equation model and the underlying artificial neural network.
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In the structural equation model, both of the impairment latent variables displayed strong direct paths toward functional limitations.
This tendency was strengthened in the structural equation models that included both sets of serum concentrations.
The structural equation is represented by FEM.
Then, I discuss the results of the structural equation model.
The model is estimated via the structural equation modelling framework.
Figure 1 presents the structural equation model for interpersonal trust and QOL.
N = 782, except N = 785 for the structural equation models.
Figure 2 illustrates the structural equation model used.
Table s3 Results of the structural equation model analysis.
Additional fitting of the structural equation models used Mx Maximum Likelihood Structural Equation Modeling software (version 32; Virginia Commonwealth University).
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