Hello
I am currently working on confirmatory factor analyses with my survey data using the command -sem-.
After the actual analyses, I tried to extract factor scores for my latent variables using -predict, latent-.
There are no issues with the commands but I was very confused about the variances of the obtained factor scores and their correlations.
The reason is that they differ from the output of the -sem- command for my original CFA.
Could anyone please explain to my why the -predict, latent- command produces factors with different variances and correlations than in the models?
Thank you .
Related Posts with Predicting factors scores after CFA
Manually creating/editing/storing estimates for esttabI am running a series of loops that try out all combinations of Stata's new lasso functions dsregres…
Question about the command fuzzydidDear all, When I run the codes of fuzzydid help file,but I get an error.I don't know why. Code: …
Missing Values GeneratedHello, I have panel data for 820 companies for 19 years i.e. 15580 observations (820*). I ran the fo…
Panel data Mediation modelDear all, I have a dataset with panel data from 2015-2018 My independent variable is categorical an…
WTP space using effect code and estimated via the command of mixlogitwtpDear Experts, I am doing a DCE study and use the command of mixlogitwtp to estimate WTP space. All …
Subscribe to:
Post Comments (Atom)
0 Response to Predicting factors scores after CFA
Post a Comment