Invariance Effect Sizes
invariance_eff(
df,
items,
group,
nodewidth = 0.01,
intercept_fix = 1,
lowerLV = -10,
upperLV = 10,
...
)Multi-group dataframe
vector of items for the target construct
string defining grouping variable
Steps tested
Which item should have a fixed intercept defaults to the first item
Lower range of latent variable tested
Upper range of latent variable tested
Passes on to lavaan CFA functions
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).