Hello everyone,
Thanks for all the helpful information on this site.
I am trying to compare models and profiles in LPA (continous variable), and obtain the LMR (AIC and BIC do not tell me whether the models are significantly different). I know this is easy in Mplus, so wondering why it is so difficult in STATA :-).
If there is another way (than LMR) to compare model/profile significance, that would be much appreciated.
Thanks for your help!
Serge
p.s. I can get the tables comparing the models and profiles with AIC, BIC, and df, just missing the significance for comparing models (two at a time). Thank you!
Related Posts with Comparing models and profiles (including significance) using LPA (continous variables)
Replace missing values with closest non-missing value in a panel dataHi, I have a panel dataset (example attached) which is tsset id year. employed is a binary variable…
Pre and post policy countHI, So I have panel data for 5 years (4,5,6,7,8) and I am evaluating a policy change that happened …
weird characters of ChineseI have used the following codes to translate the Chiense characters in my dataset (attached). But it…
create a table with mean sd and t-test ==0I would like to create a table with the variables as columns and the mean, the standard deviation an…
How do I graph a parameter t distributionDear Statalisters, I have a regression coefficient x2=.2227885 with a SE=.056563 and a 95% Conf. In…
Subscribe to:
Post Comments (Atom)
0 Response to Comparing models and profiles (including significance) using LPA (continous variables)
Post a Comment