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 |