Message/Author 

Qiao Hu posted on Monday, September 19, 2011  6:23 am



I have 5 variables: V D A E C and centered the score of five variables, that is to say, the means of five variables is zero. Each variable correlate with the other four variables. I want to see the distribution of the five variables in the different latent group (class 2, class 3, class4 etc), then choose the most suitable class. First, I choose two classes: (1)I get such a warning, how to solve it? WARNING: THE BEST LOGLIKELIHOOD VALUE WAS NOT REPLICATED. THE SOLUTION MAY NOT BE TRUSTWORTHY DUE TO LOCAL MAXIMA. INCREASE THE NUMBER OF RANDOM STARTS. (2) Why I cannot find ChiSquare Test of Model Fit in the output? (3)The AIC BIC is negative, how to do with it? Akaike (AIC) 15602.828 Bayesian (BIC) 15452.572 SampleSize Adjusted BIC 15535.180 (n* = (n + 2) / 24) This is my syntax. DATA: FILE='C:\la.dat'; listwise= 0n; VARIABLE: NAMES ARE V D A E C; CLASSES = c(2); ANALYSIS: TYPE = MIXTURE; MODEL: %overall% V WITH D A E C; D WITH A E C; A WITH E C; E WITH C; OUTPUT: TECH8 SAMPSTAT RESIDUAL STANDARDIZED; 


1. Increase the random starts, for example, STARTS= 200 50; 2. Chisquare and related fit statistics are not available when means, variances, and covariances are not sufficient statistics for model estimation. 3. This is not a problem. 

Qiao Hu posted on Monday, September 19, 2011  11:37 am



Dear Linda, This time I get another warning when I use START 200 50; How to do with it? WARNING: THE BEST LOGLIKELIHOOD VALUE WAS NOT REPLICATED. THE SOLUTION MAY NOT BE TRUSTWORTHY DUE TO LOCAL MAXIMA. INCREASE THE NUMBER OF RANDOM STARTS. 


Increase the starts to 500 125. You need to increase the starts until the best loglikelihood value is replicated. 

Qiao Hu posted on Tuesday, September 20, 2011  9:20 am



Dear Linda, This time I increase the number of variables from 5 to 7. I get such a warning, how to do with it? THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NONPOSITIVE DEFINITE FIRSTORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE CONDITION NUMBER IS 0.531D21. PROBLEM INVOLVING PARAMETER 43. Best, Qiao 

Qiao Hu posted on Tuesday, September 20, 2011  9:33 am



Another question: How big STARTS I should use? Because I increase the starts to 2000 1000, it still cannot work. 


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