Collateral information and Mixed Rasch models

A simulation study is conducted to evaluate the usefulness of incorporating collateral information in the Mixed Rasch model. The results show that the standard errors as well as latent class membership assignment can benefit substantially from incorporating external variables that associate with the latent class variable. Especially when the difference in probability structure between the latent classes becomes smaller, or, when the sample size is relatively small. unknown publishedVersion