equivTest {dynamic}

Equivalence testing with adjusted fit indexes for structural equation modeling

Description

This function generates adjusted fit index cutoffs using equivalence testing, introduced by Yuan, Chan, Marcoulides, & Bentler (2016). The default argument is a singular argument: a lavaan object. The function can also accommodate manual entry of the sample size (n), model chi-square (T_ml), degrees of freedom (df), baseline chi-square (T_mli), and number of observed variables (p).

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

Usage

equivTest(
  n,
  T_ml = NULL,
  df = NULL,
  T_mli = NULL,
  p = NULL,
  manual = FALSE,
  plot = FALSE
)

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

Arguments

n

This can either be a lavaan object, OR your sample size.

T_ml

If you entered a lavaan object for n, leave this blank. Otherwise, enter your model chi-square.

df

If you entered a lavaan object for n, leave this blank. Otherwise, enter your model degrees of freedom.

T_mli

If you entered a lavaan object for n, leave this blank. Otherwise, enter your baseline chi-square.

p

If you entered a lavaan object for n, leave this blank. Otherwise, enter the number of observed variables in your model.

manual

If you entered a lavaan object, keep this set to FALSE. If you manually entered each argument, set this to TRUE.

plot

Displays a simple plot that compares your T-size RMSEA and T-Size CFI to the adjusted bins.

x

equivTest object

...

other print parameters

Value

T-size RMSEA and T-Size CFI, along with adjusted bins for each index

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
           F2 =~ x4 + x5 + x6
           F3 =~ x7 + x8 + x9"
fit <- lavaan::cfa(lavmod,dat)
equivTest(fit)

#' #Manual entry example (manual=TRUE)
n <- 301
T_ml <- 85.306
df <- 24
T_mli <- 918.852
p <- 9
equivTest(n,T_ml,df,T_mli,p,manual=TRUE)