|
|
Final class count and proportions wit... |
|
Message/Author |
|
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 outcome-variables 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 p-values of 999s? |
|
|
The coefficients with p-values 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 follow-up question. If I am manually computing for multiple-imputed results (i.e., averaging the parameter coefficients), what value should I use for the coefficient value of those that have p-values 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. |
|
Back to top |
|
|