gsem allowed us to fit models on different subsets simultaneously. By default, the model is assumed to be a linear regression, but several links and families are available; for example, you can combine two Poisson models or a multinomial logistic model with a regular logistic model.Assessing Model Goodness of Fit •Model Definitions –The Saturated Model assumes that all variables are correlated. –The Baseline Model assumes that no variables are correlated (except for observed exogenous variables when endogenous variables are present). –The Specified Model is the model that we fit
Jun 17, 2010 · --- On Thu, 17/6/10, Natalie Trapp wrote: > I would like to compare the R-squared of a log log model > and a linear model to find out which has the better fit. Is > there a tool in Stata with which I can compare the R-square > of the log log model with the R-square obtained from OLS > estimation of the linear model?
Some fit nicely into latent factors, others do not and/or need to enter the model as categorical. I understand why GSEM does not provide the same type of GOF statistics that SEM does, (It's a similar concept between logistic and linear regression).