| 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 Chi-Square 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
Sample-Size 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. Chi-square 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 NON-POSITIVE DEFINITE
FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING
VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE
CONDITION NUMBER IS -0.531D-21. 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. |
|
|
|
|
| Please send the relevant files and your license number to support@statmodel.com. |
|
|
| Back to top |
