NO CONVERGENCE. NUMBER OF ITERATIONS EXCEEDED. PROBLEM OCCURRED IN EXPLORATORY FACTOR ANALYSIS WITH 10 FACTOR(S).
The User Guide specifies that for this type of convergence problem, I should check to make sure there are no large negative variances / residual variances in the prelim parameter estimates.
So for each section of the output (EFA with 2 factors, EFA with 3 factors, etc etc) I have looked at the "estimated residual variances". I don't know what "large" would be. Can you help me understand? Is a residual variance of 0.5 large? 0.6? 0.9?
NO CONVERGENCE IN ROTATION ALGORITHM. NUMBER OF ITERATIONS EXCEEDED. PROBLEM OCCURRED IN EXPLORATORY FACTOR ANALYSIS WITH 2 FACTOR(S). THE PROBLEM IS PROBABLY DUE TO THE NEGATIVE RESIDUAL VARIANCE FOR VARIABLE F6.
However, when I switch to estimator = bayes,it is performed. Is this correct?
I ran an EFA (1 - 5) on my data and Mplus conveniently skips the output of the '3 factor model'. I've tried this on various Mplus versions and I'm still getting the same blank result. Can you please help me produce output showing all factor models?
JuliaSchmid posted on Monday, January 30, 2017 - 10:55 pm
I wanted to run an ESEM (with correlated residuals), but I didn't suceed. Following error message occurred: "NO CONVERGENCE. NUMBER OF ITERATIONS EXCEEDED. THE CHI-SQUARE STATISTIC IS NEGATIVE.THE LOGLIKELIHOOD VALUES MAY NOT BE RELIABLE." Do you have any advice what I could do?
Similar to Julia above, I tried to run an ESEM but received the following warnings:
NO CONVERGENCE. NUMBER OF ITERATIONS EXCEEDED.
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 UTOWE5.
THE CHI-SQUARE STATISTIC IS NEGATIVE. THE LOGLIKELIHOOD VALUES MAY NOT BE RELIABLE.
No model fit indices were provided in the output, outliers were not computed, and no data were saved.
Extra information: I used TYPE=CLUSTER to account for nested data, ESTIMATOR=MLR, and ROTATION=TARGET.
Do you have any advice on how I may be able to proceed?