Hello,
I have imported a large amount of data (250 observations, 15 variables) and defined a path diagram to develop SEM. But after building simplix syntax and running lisrel syntax, it says that the model does not converge and in the output file, following are the errors:
Matrix to be analyzed is not positive definite,
ridge option taken with ridge constant = 0.001
Serious problems were encountered during minimization.
Unable to continue iterations. Check your model and data.
Note: My variables are very strongly correlated (r squared > 0.9). Four of my latent variables have only one indicator each. And all the latent variables are connected with each other with a covariance curve.
And I found some solutions regarding multiplying the diagonals of my data matrix with a constant until the model is positive definite. I am not sure exactly how to do this. I am in urgent need of the solution.
Thank you.
I have imported a large amount of data (250 observations, 15 variables) and defined a path diagram to develop SEM. But after building simplix syntax and running lisrel syntax, it says that the model does not converge and in the output file, following are the errors:
Matrix to be analyzed is not positive definite,
ridge option taken with ridge constant = 0.001
Serious problems were encountered during minimization.
Unable to continue iterations. Check your model and data.
Note: My variables are very strongly correlated (r squared > 0.9). Four of my latent variables have only one indicator each. And all the latent variables are connected with each other with a covariance curve.
And I found some solutions regarding multiplying the diagonals of my data matrix with a constant until the model is positive definite. I am not sure exactly how to do this. I am in urgent need of the solution.
Thank you.