According to the BIC information, this suggests a six-class solution for males. LRT seems to suggest either 5 or 6 classes, because the p value dips twice.
However, in females I see no dip in the BIC values. LRT suggests a 5-class solution, but I encounter problems at 7 classes (e.g. singularity) so I have not been able to check LRT yet here.
I have two questions:
1. Are the low p values for 2 and 3 classes in females meaningful i.e. might they be suggesting 3 classes, or is there some other reason why they are very low?
2. If there are empty cells resulting from binary variables which cause singularity at 7 classes, is there a way to find out which binary variables are causing the problem? When I look for the parameters which Mplus has fixed, they do not appear in the parameter specification.
I should also say that all of the solutions so far are meaningful and interpretable.
The p-value for the two class solution is .25 indicating that a one-class solution should be chosen. You look for the first instance of a p-value greater than .05 and select the solution with one less class.
csulliva posted on Monday, September 21, 2009 - 9:37 am
In the context of LC modeling, can the BIC value be used to distinguish between model specifications (in addition to different numbers of classes)? For example, in a situation where one is uncertain as to whether models using a censored distribution are more or less appropriate than those with a linear, continuous distribution, could their respective BIC values be used as one information point for assessing their differences?