Conventional multiple-group SEM to test measurement invariance. A sequence of chi-square and chi-square difference tests will be conducted.
The same arguments as for any lavaan model. See
Users must explicitly specify the name of the input elements for this function to catch. For example, specify 'data = HolzingerSwineford' instead just 'HolzingerSwineford'.
If the function prints out results of covariance structure, mean structure, or both. The value of
If FALSE (default), a summary is printed out containing an overview of the different models that are fitted, together with some model comparison tests. If TRUE, no summary is printed but results will be stored in the object.
This is a wrapper function of the function
measurementInvariance in package
semTools with the following default options:
std.lv = FALSE, fit.measures = "default", and
method = "satorra.bentler.2001". See
semTools::measurementInvariance for more information.
A list is returned with:
A sublist in convention.sem. Contains Lavann style output and results for each chi-square and chi-square difference.
A sublist in convention.sem. Contains test statistics and fit measures on invariance tests of mean structure.
A sublist in convention.sem. Contains test statistics and fit measures on invariance tests of covariacne structure.
Yuan, K. H., & Chan, W. (2016). Measurement invariance via multigroup SEM: Issues and solutions with chi-square-difference tests. Psychological methods, 21(3), 405-426.
Yves Rosseel (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36.
semTools Contributors. (2016). semTools: Useful tools for structural equation modeling. R package version 0.4-14. Retrieved from https://CRAN.R-project.org/package=semTools
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