Cross Validated
2023-02-27 15:22 UTC
By JJW
AI-113-20230227-social-media-1c809357
When performing a 3-step analysis in Latent Gold, should I use ML or BCH to model an ordinal outcome?
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.
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.
Full article content could not be extracted automatically. Read the original below.
Source:
Cross Validated
· stats.stackexchange.com