Can Latent GOLD® perform multinominal LC regression models? Can it be used with repeated measures such as obtained in conjoint and discrete choice studies?
A. Multinomial LC regression models are estimated simply by specifying the dependent variable to be nominal. In the case of repeated measures, (multiple time points, multiple ratings by the same respondent, etc.) an ID variable can be used to identify the records associated with the same case. (See tutorial #2 for an example of a repeated measures conjoint study.) Latent GOLD® cannot currently estimate conditional logit models of the kind used in discrete choice studies, although such capability will be incorporated in Latent GOLD Choice, and add-on to Latent GOLD® , that is now under development. For LC Regression models, there are several R square statistics reported in the Latent Gold output. When there are 2 or more latent segments (latent classes), do these still measure the overall strength of the predictors to predict the dependent variable? A. Yes. One important additional aspect is that estimated class-membership also improves overall prediction and contributes to the magnitud
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