Class For Representing A Template of Model Fit Comparisons

Description

This class contains model fit measures and model fit comparisons among multiple models

Objects from the Class

Objects can be created via the compareFit function.

Slots

name:

The name of each model

nested:

Model fit comparisons between adjacent nested models that are ordered based on their degrees of freedom

ordernested:

The order of nested models regarding to their degrees of freedom

fit:

Fit measures of all models specified in the name slot

methods

• summary The summary function is used to provide the nested model comparison results and the summary of the fit indices across models. This function has one argument: fit.measures. If "default" is specified, chi-square values, degree of freedom, p value, CFI, TLI, RMSEA, SRMR, AIC, and BIC are provided. If "all" is specified, all information given in the fitMeasures function is provided. Users may specify a vector of the name of fit indices that they wish.

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

See Also

compareFit; clipboard

Examples

HW.model <- ' visual =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed =~ x7 + x8 + x9 '

out <- measurementInvariance(HW.model, data=HolzingerSwineford1939, group="school", quiet=TRUE)
modelDiff <- compareFit(out)
summary(modelDiff)
summary(modelDiff, fit.measures="all")
summary(modelDiff, fit.measures=c("aic", "bic"))

## Not run: 
# Save results to a file 
saveFile(modelDiff, file="modelDiff.txt")

# Copy to a clipboard
clipboard(modelDiff)

## End(Not run)