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Jungeun Lee posted on Thursday, February 14, 2008 - 10:21 am
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Hello, I am running a growth mixture model with count variables. The model ran fine but I got the following warning as to chi-square test model fit. ** Of the 0 cells in the latent class indicator table, 14 were deleted in the calculation of chi-square 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! |
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I would need to see the full output to answer that. Please send it along with your license number to support@statmodel.com. |
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Dear Linda, I had a similar warning: "** Of the 12210 cells in the latent class indicator table, 78 were deleted in the calculation of chi-square 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 |
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When that many cells are deleted, you should ignore the test. |
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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 |
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I mean when there are many cells deleted, you should ignore the chi-square 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. |
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Brianna H posted on Friday, March 21, 2014 - 9:44 am
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Hello. I am running a Poisson linear growth model with one time-invarying predictor of the slope and three time-invarying predictors of the intercept. The output I requested is "patterns residual standardized TECH1 TECH8," but the Chi-square 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 chi-square in the output. Can you please help me understand why this is happening? Thank you. |
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Please send the two outputs and your license number to support@statmodel.com. |
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