cfaOne {dynamic}

Dynamic fit index (DFI) cutoffs for one-factor CFA models

Description

This function generates DFI cutoffs for one-factor CFA models using ML estimation. The default argument is a singular argument: a lavaan object from the cfa function. The function can also accommodate manual entry of the model statement and sample size.

The app-based version of this function can be found at dynamicfit.app.

Usage

cfaOne(model, n = NULL, plot = FALSE, manual = FALSE, reps = 500)

## S3 method for class 'cfaOne'
print(x, ...)

Arguments

model

This can either be a lavaan object from the cfa function, OR a model statement written in lavaan model.syntax with standardized loadings.

n

If you entered a lavaan object for model, leave this blank. Otherwise, enter your sample size (numeric).

plot

Displays distributions of fit indices for each level of misspecification.

manual

If you entered a lavaan object, keep this set to FALSE. If you manually entered standardized loadings and sample size, set this to TRUE.

reps

(**Do not modify this**): The number of replications used in your simulation. This is set to 500 by default in both the R package and the corresponding Shiny App.

x

cfaOne object

...

other print parameters

Value

Dynamic fit index (DFI) cutoffs for SRMR, RMSEA, and CFI.

Author(s)

Melissa G Wolf & Daniel McNeish

Maintainer: Melissa G Wolf <[e-mail]>

Examples

#Lavaan object example (manual=FALSE)
dat <- lavaan::HolzingerSwineford1939
lavmod <- "F1 =~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9"
fit <- lavaan::cfa(lavmod,dat)
cfaOne(fit)

#Manual entry example for a sample size of 300 (manual=TRUE)
manmod <- "F1 =~ .602*Y1 + .805*Y2 + .857*Y3 + .631*Y4 + .345*Y5 + .646*Y6"
cfaOne(model=manmod,n=300,manual=TRUE)