My goal is to test the equivalence of the model between countries. The model is relatively complex. It consists of 35 items, some of which are continuous and some ordinal, divided into 7 dimensions.
I would like to ask, what method would you recommend (e.g. MGCFA, IRT, ESEM, Alignment, LCFA, BSEM)? I would like to test more methods and compare the results. However, each method is suitable for either continuous (e.g. MGCFA) or ordinal (e.g. IRT), and I do not know if it is possible to apply them when I have both types of variables.
Alternatively, whether the solution would be to transform the response scales to be uniform?
Thank you very much for your answers.
Dear Radka Hanzlová
These links might be an asset. have a look:
1. https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-020-00933-z
2. https://www.researchgate.net/publication/257835875_Applying_Tests_of_Equivalence_for_Multiple_Group_Comparisons_Demonstration_of_the_Confidence_Interval_Approach
Kind Regards
Qamar Ul Islam
I think this depends on both your research questions and your model. Choice of model methods depends on the DVs. Thus we need more information.. Best wishes, David Booth
The two one-sided tests (TOST) procedure. See Equivalence Testing for Psychological Research: A Tutorial Lakens et al 2018:Article Equivalence Testing for Psychological Research: A Tutorial
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