

How many indicators in LCA/LPA are to... 

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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 can’t 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! 


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 k1 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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