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The large influence of PERC on the model fit indicates the importance of slow groundwater runoff in the catchment.
The overall model fit indicates utility across all cognitive levels.
The fact that all mean parameter values in the bootstrap procedure are within 10%% of the values obtained in the original model fit indicates that the model is robust.
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Fortunately, when using DWLS the goodness-of-fit indices were all on the side of the threshold that indicated good model fit, indicating that the maximum likelihood method provided unbiased results.
The hypothetical mediation model showed statistical good model fit, indicating significant positive effect of social support on immune response.
We find that the lowest observed correlation was due to just two points with the greatest influence on the linear model fit indicated by Cook's distances.
We found the ACE A × E model to provide the best model fit, indicating that an A × E interaction is present in these data.
The equal-weight risk-score model provided similar between-cohort discrimination for the risk of candidemia and goodness of model fit, indicating the stability of our risk score.
Adding the FSIQ×time interaction (χ 2 (1) = 8.63, p < .01) did increase model fit, indicating that FSIQ moderated the outcome in CGAS scores.
The URSSA met accepted standards for model fit, indicating that items functioned as anticipated after two categories from the original survey were merged.
This did not lead to a significant decrease in model fit, indicating that path coefficients and covariances did not differ significantly between groups (CFI = .89, RMSEA = .076).076
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com