Hi, I am working on a study where I use mixture modelling with known classes (multi-group analysis) to test for latent mean differences between two groups (the model is estimated in Mplus). One of the groups (n=3500) is much larger than the other (n=1000). Does this affect the ability to compare means between groups, when their size differ? I’m also estimating a series of structural models were I use the Wald test to determine whether there are significant differences in the path coefficients between the two groups (i.e. I’m comparing a model where the path coefficients are constrained to be equal for both groups to a model where the path coefficients are free to vary). Will the large differences in sample sizes influence the results of these analyses?
It sounds like both your sub-samples are large enough to produce stable estimates for your parameters, so there should not be any problem.
Yes in your case the difference between two sub groups is huge and sample size has a significant impact on the statistical results as well but here the sample size of both the sub groups is quite large thereby there will not be an issue regarding the statistical results.
As the sample size of both the sub-groups is representative enough, there is nothing to worry about the analysis and the results.
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