Regarding LPA Warning: "Only 1-Component Model Could Be Fitted"

[Fangqing Lu]

Hi everyone,

I am currently working with LPA and encountered a warning message stating:

Warning in (function (data, modelName = NULL, nboot = 999, level = 0.05,  :
  only 1-component model could be fitted. No LRT is performed!
Warning: Mclust could not estimate model 6 with 2 classes.
Warning: Mclust could not estimate model 6 with 3 classes.
Warning: Mclust could not estimate model 6 with 4 classes.
Warning: Mclust could not estimate model 6 with 5 classes.
Warning: Mclust could not estimate model 6 with 6 classes.
Warning: Mclust could not estimate model 6 with 7 classes.
Warning: Mclust could not estimate model 6 with 8 classes.
Warning: Mclust could not estimate model 6 with 9 classes.
Warning:
One or more analyses resulted in warnings! Examine these analyses carefully: model_6_class_2, model_6_class_3, model_6_class_4, model_6_class_5, model_6_class_6, model_6_class_7, model_6_class_8, model_6_class_9

Does this mean there isn’t much variation in my data, and the model is unable to identify multiple latent classes?

I saw a similar issue where someone mentioned that this warning could indicate something unusual in the data. However, I don't have many clues on how to check. I would really appreciate any suggestions on what data characteristics I should check, or common issues that could lead to this warning. For example, could my data be too skewed, or might I have too few observations? Any advice you could give would be very helpful.

Thanks so much in advance!