Kiki Yang posted on Saturday, August 20, 2005 - 4:15 am
Hello! This is my output. I would like to know does the "Pearson Chi-Square Value" of "Chi-Square Test of Model Fit for the Binary and Ordered Categorical (Ordinal) Outcomes" mean overall or other? My English is poor. I hope you can understand my question.
I'm trying to run a latent class analysis with four continuous variables and two categorical variables. I keep getting an error stating that the degrees of freedom cannot be calculated. As a result, I do not have enough information to assess the model fit. Do you have any suggestions?
Here is a sample of the relevant output:
MODEL FIT INFORMATION
Number of Free Parameters 24
H0 Value -985.151 H0 Scaling Correction Factor 1.123 for MLR
These tests are not overall tests of model fit. They test only the observed versus expected frequency tables for the categorical latent class indicators. Absolute fit statistics are not available with categorical variables and maximum likelihood estimation. Nested models can be compared using -2 times the loglikelihood difference which is distributed as chi-square.
I'm running a latent class analysis with 4 categorical indicators and I too keep getting an error stating that degrees of freedom cannot be computed for Pearson chi-square and Likelihood Ratio chi-square. If these aren't overall tests of model fit, is it an issue if degrees of freedom cannot be computed? Is it because I'm using categorical indicators that the df cannot be computed? Any insight on this is welcome. Thanks!!