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Good Day,

I am planning a study that will I analyze using Latent Class Analysis. I have three tests that will be used as inputs to the LCA and I wish to create a 2-class model.

I have some pilot data that I can use and I am looking for resources to calculate the power required for a larger study. Does anyone have any open source /free resources? (e.g. online calculators, R etc)

Thanks!

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I don't think this kind of calculator exists so far, but you can automate it a little with LatentGold software, as explained in this Gudicha's paper - it describes how you can calculate power and gives an example code on p.34.

LatentGold is not open source, you can try to reproduce the Gudicha's steps with the other software.

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  • $\begingroup$ @Maxim: How do we determine what a class is in LCA from the data. I have done some reading and only found that "finding patterns of response". But that is vague. What Mathematical/Statistical tools are we using to determine the existence of these patterns? Knn ( nearest neighbors)? Sonething else? $\endgroup$ – MSIS Apr 14 at 15:57
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    $\begingroup$ @MSIS LCA is a model-based approach, which makes it very different from nearest neighbor and alike heuristics. It means LCA has an explicit model which is fit to a data with iterative estimators such as maximum likelihood. The models vary within LCA, but a common one looks a bit like logit ordinal regression. I'd advise to begin with very intuitive Alan McCutcheon's (1987) Latent Class Analysis, Sage green series. $\endgroup$ – Maksim Apr 16 at 7:11

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