

Final class count and proportions wit... 

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John Woo posted on Wednesday, October 20, 2010  4:36 pm



Hi, I have two latent categorical variables, cd and ch. cd and ch are indicated by their respective outcomevariables with conditional independence. cd is 4 classes. ch is 5 classes. controlling for covariates, i am regressing cd on ch. In the output, I get: FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Class Pattern 1 1 0.00000 0.00000 1 2 4.37333 0.00554 1 3 0.00000 0.00000 1 4 20.38640 0.02581 2 1 40.18266 0.05086 2 2 117.64014 0.14891 ... (cut) The estimated size of group "1 1" and "1 3" are zero. Because of this (I think) I am also getting the following regression output: CD#1 ON CH#1 37.236 0.000 999.000 999.000 CH#2 2.009 0.703 2.858 0.004 .. CD#3 ON CH#1 19.090 0.000 999.000 999.000 .. How should I interpret the coefficients above that are associated with pvalues of 999s? 


The coefficients with pvalues of 999 have been fixed so have no standard error or test of significance. You would interpret them as those in CH class 1 have a zero probability of being in CD class one for example. 

John Woo posted on Thursday, October 21, 2010  3:21 pm



Thank you, Linda. I have one more followup question. If I am manually computing for multipleimputed results (i.e., averaging the parameter coefficients), what value should I use for the coefficient value of those that have pvalues of 999s. For example, for the dataset above, should I use "37.236" for cd#1 on ch#1 coefficient? 


I would average over the fixed parameters the same way as for the free parameters. 

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