The second volume of "Data Analysis with Mplus" is aimed at advanced users with solid background knowledge and first Mplus skills. How to deal with ordinal or dense variables? How about a violation of the nominal distribution assumption? In many research contexts the focus is on the consideration of several groups, elsewhere one looks for models for the combination of structural equation, multi-level and latent-class models. In addition, researchers are increasingly using modern methods for dealing with missing data as well as sample and test strength planning. These and other questions are explained in a practical and step-by-step manner.
