Build an object summarizing fit indices across multiple models

Description

This function will create the template that compare fit indices across multiple lavaan outputs. The results can be exported to a clipboard or a file later.

Usage

compareFit(..., nested = TRUE)

Arguments

Value

A FitDiff object that saves model fit comparisons across multiple models. If the output is not assigned as an object, the output is printed in two parts: 1) nested model comparison (if models are nested) and 2) fit indices summaries. In the fit indices summaries, daggers are tagged to the model with the best fit for each fit index.

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

See Also

FitDiff, clipboard

Examples

m1 <- ' visual  =~ x1 + x2 + x3
        textual =~ x4 + x5 + x6
        speed   =~ x7 + x8 + x9 '

fit1 <- cfa(m1, data=HolzingerSwineford1939)

m2 <- ' f1  =~ x1 + x2 + x3 + x4 
        f2 =~ x5 + x6 + x7 + x8 + x9 '
fit2 <- cfa(m2, data=HolzingerSwineford1939)
compareFit(fit1, fit2, nested=FALSE)

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

out <- measurementInvariance(HW.model, data=HolzingerSwineford1939, group="school", quiet=TRUE)
compareFit(out)