When performing a 3-step analysis in Latent Gold, should I use ML or BCH to model an ordinal outcome?

27 February 2023 1 9K Report

I'm performing a 3-step analysis in Latent Gold 5.1. In step 3 I estimate a model with an ordinal distant outcome.

The documentation of Latent Gold gives advice for when to use ML (categorical dependent) or BCH (continuous and count dependent). But it does not explicitly state which method to use when modelling an ordinal dependent variable. Any advice much appreciated.

Jan-Jelle Witte

I can now answer my own question, based on the kind advice of Prof. Vermunt: for ordinal dependent variables in a 3-step LCA, ML is adviced.

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