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 Shuai Wang posted on Friday, March 12, 2010 - 5:56 pm
I am running a path analysis with both continuous and binary variables. There are total 18 observable variables there, with five independent and 13 dependent (4 continous and 9 binary). There is no latent variable. All those 18 variables form a complicated path diagram. Paths start from those five independent variables, go through 17 dependent variables, and ultimately go to the same dependent variable. Number of observations are about 21,000, and I use WLSMV and theta parameterization.

After running the input program, I get the following message:

THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE
COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL.
PROBLEM INVOLVING PARAMETER 49.

I checked parameter 49. It is a beta between two binary variables. But I cannot delete that path without any evidence. Someone suggests trying log(x+1) transformation for all the continuous variables before estimation. I tried, but got the same error message. Is there anyone who can tell me how to remedy this? Your help is really appreciated.
 Linda K. Muthen posted on Friday, March 12, 2010 - 8:22 pm
Please send your full output and your license number to support@statmodel.com.
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