How can I tell if my latent class cluster model contains local dependencies?
A. Local dependence for a K-class model exists if the model does NOT fit the data. One such measure of model fit is given by the bivariate residuals (BVRs) associated with each pair of model indicators. Large BVRs (values over 2) can be viewed as evidence of local dependence associated with that pair of model indicators (see the residuals output of Latent GOLD for these statistics).
Related Questions
- In LC cluster models containing continuous indicators, how can I determine whether a model should contain a within class correlation between 2 or more of these variables?
- How does latent class cluster analysis compare with the traditional clustering procedures in SAS and SPSS?
- How can I tell if my latent class cluster model contains local dependencies?
