invariance_eff: Invariance Effect Sizes

In Jo-Karl/ccpsyc: Methods for Cross-Cultural Psychology

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).

Jo-Karl/ccpsyc documentation built on Oct. 15, 2022, 3:20 p.m.