Hey!
I am a psychology student working on a small project for one of my seminars. The goal is to present to fellow students how different sample sizes affect different ways of assessing measurement invariance (Chi-square or Alternate Fit Indices).
Additionally, I would like to show them an example of how to do your own Monte Carlo simulation. Someone could theoretically go the extra mile and estimate sample size for the specific experiment they might plan.
However, we all only use R-studio, and we don´t have access to programs like MPlus. Sadly, I am not advanced enough to write some code for this. Therefore, I am looking for researchers who did a Monte Carlo simulation to assess measurement invariance in R-Studio. That way, I could ask for the code they used and hopefully learn something along the way.
I am grateful for any cue and comment. Thank you very much!
Jonas Brammer You could run regressions datasets to build polynomial models (y = a + bx + cx^2 + dx^3...), and take a look at : https://www.youtube.com/watch?v=xuUMz8exU8Q and https://www.youtube.com/watch?v=T_igE6bb6hU
Good luck.
Jonas Brammer You could run regressions datasets to build polynomial models (y = a + bx + cx^2 + dx^3...), and take a look at : https://www.youtube.com/watch?v=xuUMz8exU8Q and https://www.youtube.com/watch?v=T_igE6bb6hU
Good luck.
Hopefully this will help you
Pokropek, A., Davidov, E., & Schmidt, P. (2019). A monte carlo simulation study to assess the appropriateness of traditional and newer approaches to test for measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 26(5), 724-744.
Thank you all so much for your recommendations. It looks like I have some work to do for the next days. I´ll come back if I get lost along the way :)
Hi Jonas,
https://dergipark.org.tr/tr/pub/epod/issue/31276/305821
This article is about monte carlo simulation studies with IRT.
Hope it helps with your study.
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