Anna V posted on Saturday, September 15, 2018 - 5:55 pm
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?
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