invariance_eff {ccpsyc}

Invariance Effect Sizes

Description

Invariance Effect Sizes

Usage

invariance_eff(
  df,
  items,
  group,
  nodewidth = 0.01,
  intercept_fix = 1,
  lowerLV = -10,
  upperLV = 10,
  ...
)

Arguments

df

Multi-group dataframe

items

vector of items for the target construct

group

string defining grouping variable

nodewidth

Steps tested

intercept_fix

Which item should have a fixed intercept defaults to the first item

lowerLV

Lower range of latent variable tested

upperLV

Upper range of latent variable tested

...

Passes on to lavaan CFA functions

Value

Returns a dataframe with a row for each item comprising the uni-factorial solution and one column for each invariance effect size. A detailed interpretation of each effect size is provided in Gunn et al. (2019).