Hi all,
I am quite new to Stata and I am trying to run a Bernoulli-logit regression with gsem builder. I have a latent independent variable and a dichotomous dependent variable. The independent variables are personal values construct, while the independent is the support for populist parties. So far, I got good results for three out of four of the latent construct. With the last one, I obtain unexpectedly high coefficients. This is the command I am using:
gsem (open -> ipcrtiv, ) (open -> impdiff, ) (open -> ipgdtim, ) (open -> impfree, ) (open -> ipadvnt, ) (open -> impfun, ) (open -> populistvotebase, family(bernoulli) link(logit)), latent(open ) nocapslatent
And these are the results I obtained:
Array
All the other led to results like the following (the results are coherent with the distribution of the independent variable, going from 1-6):
Array
Does anyone have suggestions on why I obtain such different results for the "open" construct?
I already check for the construct to be stable enough (I previously ran a CFA with the latent constructs and they all show good fit).
Thank you in advance
Related Posts with problem with gsem
Is there any way to create age and education variables of a father?Hi all, I am working with the Multiple Indicator Cluster Survey (MICS) whose research design is sim…
Stata omitting two levels of a variable instead of oneI'm presently working on analyzing a survey with multiple waves. I've used append to attach the diff…
loop over files in a folder to do an operation and save the combined result as datasetHello everyone!! I should specify, I am new to stata, so if i misuse terminology, please forgive me…
Help to get rolling average (standard deviation) over 5 yearsHello, I have a panel data like this (unbalanced) ID Year V1 V2 0 2005 30 19 0 2006 20 67 0 2007 4…
Not duplicating Mata code / Using STATA in MataI have a function which is straightforward to implement in both the ado scripting language and mata.…
Subscribe to:
Post Comments (Atom)
0 Response to problem with gsem
Post a Comment