No convergence. # of iterations exceeded PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
Message/Author
 Liz Woodruff posted on Sunday, April 03, 2011 - 2:15 pm
is the error message for my CFA. I believe this means that my start values are inaccurate...does this mean that I need to provide better start values? If so, how can I change the start values?
 Linda K. Muthen posted on Monday, April 04, 2011 - 6:11 am
Please send your full output and license number to support@statmodel.com.
 Liz Woodruff posted on Tuesday, April 05, 2011 - 7:33 am
Great, just sent it. Also, I have MPlus 6 installed on my Dell laptop. When I save output or input files, I'm not able to open them. I get an eror message that says the file "is not a valid Win32 application." Any suggestions?
 Linda K. Muthen posted on Tuesday, April 05, 2011 - 9:40 am
How are you opening those files? By double-clicking on the files in Windows Explorer or by using the File Open menu option in the Mplus Editor?
 Elien De Caluwť posted on Tuesday, June 05, 2012 - 5:18 am
Dear Prof. Dr. Muthen,

When I do a CFA, I get "No convergence. Number of iterations exceeded". I tried to change the starting values and the number of iterations, but it doesn't work... Do you have any suggestions?

Thank you very much,
Elien
 Linda K. Muthen posted on Tuesday, June 05, 2012 - 5:45 am
Try freeing the first factor loading of each factor and fixing the factor variances to one. It may be that the first factor loading which is fixed to one as the default would not be estimated close to one or is negative.

f BY y1* y2 y3 y4;
f@1;
 Elien De Caluwť posted on Wednesday, June 06, 2012 - 12:54 am
Thank you so much!
The suggestion worked when I let all the second factor loadings free (not the first). But the fit is not good... I suppose this has to do with the model and is not changeable? However, maybe the fit will be better when the following problem is solved:

"WARNING: THE RESIDUAL COVARIANCE MATRIX (THETA) IS NOT POSITIVE DEFINITE.THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR AN OBSERVED VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO OBSERVED
VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO OBSERVED VARIABLES.
CHECK THE RESULTS SECTION FOR MORE INFORMATION.PROBLEM INVOLVING VARIABLE ES."

Thank you very much!
 Linda K. Muthen posted on Wednesday, June 06, 2012 - 6:12 am
Please send the output and your license number to support@statmodel.com.
 John Perry posted on Wednesday, September 19, 2012 - 9:57 am
Hi Linda,

in terms of non-convergence, would I be right in assuming that this is probably because of bad starting values?

If so, is it wise to see what starting values are and then perhaps identify very high ones and constrain these to one in the model? I've got a couple of models to converge by doing this but would like your advice.

Many thanks,

John
 Linda K. Muthen posted on Wednesday, September 19, 2012 - 11:41 am
I would not think that starting values is a big problem. We have good default starting values. Often it can be related to large variances so we recommend keeping variances of continuous variables between one and ten. It can also be caused by variances or residual variances approaching zero. If you have a problem, send it and your license number to support@statmodel.com. I do not think constraining values even if it works is a good idea.
 Mathew Marques posted on Thursday, April 25, 2013 - 11:19 pm
Dear Linda,

I too am having some issues in getting convergence in a multi group CFA, and receive the message:

NO CONVERGENCE. NUMBER OF ITERATIONS EXCEEDED. FACTOR SCORES WILL NOT BE COMPUTED DUE TO NONCONVERGENCE OR NONIDENTIFIED MODEL.

I am trying to test the equivalency, or invariance, of the proposed baseline model (model 1) across the several groups.

thanks,

Mathew
 Linda K. Muthen posted on Friday, April 26, 2013 - 7:14 am
As a first step, run each group separately to see if you have convergence problems there.
 Mathew Marques posted on Saturday, April 27, 2013 - 1:01 am
hi Linda,

thank you for the advice. I ran each group separately, and had no convergence problems there. Some models are better than others (these are different data across different years), but all are good or exceptional fits.

What would you suggest as a next step?

regards

Mathew
 Linda K. Muthen posted on Saturday, April 27, 2013 - 6:24 am
Send the output of the multiple group analysis along with your license number to support@statmodel.com.
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