Hello I am using Mixture IRT model to fit 1 calss, 2 class, and 3 class with 20 data set. In 2 class, there is no any problem to fit, also, THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED. But , in 3 class , sometimes it showed THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED , but meanwhile shows ：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.； and ：ONE OR MORE PARAMETERS WERE FIXED TO AVOID SINGULARITY OF THE INFORMATION MATRIX.； Are results trustful such item parameters and the values of BIC? Or does it mean that model can・t fit the data? In addition, sometimes the results of 3 classes showed ：THE BEST LOGLIKELIHOOD VALUE WAS NOT REPLICATED. ： and I increased the starting value = 100 20 to 1000 200 , but it still showed that ：THE BEST LOGLIKELIHOOD VALUE WAS NOT REPLICATED. ： Does that mean the model can・t fit the data too? Or should I increase starting values more?
The best loglikelihood must be replicated. Even when it is replicated, there can be other problems. I would need to see the output with the error message and your license number at firstname.lastname@example.org to determine what the problem is.
So, do you mean the output which I can get the the estimated of ability for each class and the whole sample's estimated ability ? But, could I get the estimated of ability of each person in a class? For example, if there are 200 people in class 1 , could I also get 200 people's estimated ability in class 1?
Thank you. I am trying to find the fitted model in a mixture Rasch model. I fitted the data in 2 classes , 3 classes and 4 classes. BIC for 2,3,4 classes are 45190.796,45053.329 45083.17.From the BIC value, 3 classes should fit well, but the output gave me the message"ONE OR MORE PARAMETERS WERE FIXED TO AVOID SINGULARITY ...". Should I choose the 3- classes model?