FitDiff-class: Class For Representing A Template of Model Fit Comparisons

Description

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

Usage

# S4 method for FitDiff
show(object)
# S4 method for FitDiff
summary(object, fit.measures = "default", nd = 3, tag = "")

Arguments

object

object of class FitDiff

fit.measures

character vector naming fit indices the user can request from fitMeasures. If "default", the fit measures will be c("chisq", "df", "pvalue", "cfi", "tli", "rmsea", "srmr", "aic", "bic"). If "all", all available fit measures will be returned.

number of digits printed

tag

single character used to flag the model preferred by each fit index. To omit tags, set to NULL or NA.

Slots

name: character. The name of each model

model.class

character. One class to which each model belongs

nested

data.frame. Model fit comparisons between adjacently nested models that are ordered by their degrees of freedom (df)

fit

data.frame. Fit measures of all models specified in the name slot, ordered by their df

fit.diff

data.frame. Sequential differences in fit measures in the fit slot

Objects from the Class

Objects can be created via the compareFit function.

Examples

Run this code

# NOT RUN {
HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '
fit.config <- cfa(HS.model, data = HolzingerSwineford1939, group = "school")
## invariance constraints
fit.metric <- cfa(HS.model, data = HolzingerSwineford1939, group = "school",
                  group.equal = "loadings")
fit.scalar <- cfa(HS.model, data = HolzingerSwineford1939, group = "school",
                  group.equal = c("loadings","intercepts"))
fit.strict <- cfa(HS.model, data = HolzingerSwineford1939, group = "school",
                  group.equal = c("loadings","intercepts","residuals"))
measEqOut <- compareFit(fit.config, fit.metric, fit.scalar, fit.strict)
summary(measEqOut)
summary(measEqOut, fit.measures = "all")
summary(measEqOut, fit.measures = c("aic", "bic"))

# }
# NOT RUN {
## Save results to a file
saveFile(measEqOut, file = "measEq.txt")

## Copy to a clipboard
clipboard(measEqOut)
# }
# NOT RUN {
# }