How many indicators in LCA/LPA are to... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
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 Anna V posted on Saturday, September 15, 2018 - 5:55 pm
Hi all,

I will be conducting an LPA for someone, but their intended model has 50 continuous indicators, which seems like too many to me. Unfortunately, I canít find any sources discussing such a large number of indicators. Would this be appropriate to do? Also, what would you consider an appropriate sample size for this?

Thank you!
 Bengt O. Muthen posted on Sunday, September 16, 2018 - 11:52 am
50 is ok if N is large enough. The required N depends on how many classes you expect because this influences how many parameters you need to estimate. With k classes, you have 50 variances, k*50 means, and k-1 class probabilities. You might want at least 5 observations per parameter.
 Anna V posted on Monday, September 17, 2018 - 7:41 am
Thank you, this is very helpful!
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