Message/Author 

Jungeun Lee posted on Thursday, February 14, 2008  10:21 am



Hello, I am running a growth mixture model with count variables. The model ran fine but I got the following warning as to chisquare test model fit. ** Of the 0 cells in the latent class indicator table, 14 were deleted in the calculation of chisquare due to extreme values. Could you help me understanding ;1)What the warning means; 2) the implication of having such warning; 3) what I can do about it? Thank you in advance! 


I would need to see the full output to answer that. Please send it along with your license number to support@statmodel.com. 


Dear Linda, I had a similar warning: "** Of the 12210 cells in the latent class indicator table, 78 were deleted in the calculation of chisquare due to extreme values. ** Large values were truncated at 9." I am also unsure how concerned I should be. I am ok with the truncation...any thoughts? thanks so much in advance! Susan 


When that many cells are deleted, you should ignore the test. 


Hi Linda, Thanks for the quick response. Do you mean "ignore the test" b/c I need to fix my "extreme values" first and then rerun or do you mean "ignore the test" such that i can ignore the chisq but accept the rest of the outcomes? Do I scrap the analysis or keep working on them or accept them as they are? I guess I just don't understand what this means. could you please clarify? Thanks much! Susan 


I mean when there are many cells deleted, you should ignore the chisquare test. The rest of the results are fine unless there is another message you are not mentioning. Questions like this are best sent to support with a full output to obtain a full answer. 

Brianna H posted on Friday, March 21, 2014  9:44 am



Hello. I am running a Poisson linear growth model with one timeinvarying predictor of the slope and three timeinvarying predictors of the intercept. The output I requested is "patterns residual standardized TECH1 TECH8," but the Chisquare is not printed in the Model Fit information. The only two fit statistics are the Loglikelihood, AIC, BIC, and adjusted BIC. However, when I specify that one of the predictors of intercept should covary with the other two predictors, I do get a chisquare in the output. Can you please help me understand why this is happening? Thank you. 


Please send the two outputs and your license number to support@statmodel.com. 

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