In milanwiedemann/minvariance: Testing Measurement Invariance

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
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minvariance

The goal of minvariance is to aid the understanding of longitudinal measurement invariance and see which parts of this method could be automated in R. The vignettes on the website of this package aim to replicate some examples found online. If you have any questions, ideas, or comments please get in touch.

Installation

You can install the released version of minvariance from GitHub with:

# install.packages("devtools")
devtools::install_github("milanwiedemann/minvariance")

library(tidyverse)
library(minvariance)

# Specify list of variables 
# Generate lavaan syntax
long_minvariance_syntax(var_list = list(t1 = c("i1_t1", "i2_t1", "i3_t1"), 
                                        t2 = c("i1_t2", "i1_t2", "i1_t2")), 
                        model = "configural") %>% 
  cat()

Here's another example with different variable names

# Generate lavaan syntax
long_minvariance_syntax(var_list = list(t1 = c("a1", "b1", "c1"), 
                                        t2 = c("a2", "b2", "c2")), 
                        model = "strong") %>% 
  cat()