I am evaluating the trajectory classes of psychological distress in a sample of refugees (n=107) measured across 12 time points.
When extracting trajectory classes BIC, theory, and interpretability point to a 4 or 5 class model. However when applying tech 11 to help determine the ideal number of classes, I am unable to secure a significant VUONG-LO-MENDELL-RUBIN LIKELIHOOD RATIO TEST for any number of classes.
Is this likely due to my relatively small sample size?
If sample size is a limitation for this test, does it still make sense to follow the other indicators listed above? Do you have any suggestions for addressing this issue?
I am having a similar problem as Jonathan Codell described above in my latent profile analyses. Do you happen to have a citation for such (i.e., VLMR being affected by sample size)? I have found Nylund, Asparouhov, and Muthen (2007), though sample size is not clearly specified as the reason for comparatively poor VLMR performance. Thank you!