Interpreting Standard and Nonstandard Log-linear Models (Paperback)

Log-linear models can be used to analyze the relationships among categorical variables. The nature of these relationships is described based on the interpretation. This framework includes the usual standard models, but also nonstandard and non-hierarchical models. This book shows, and illustrates in many examples, how to interpret parameters for large classes of models. The often cited problem with parameter interpretation in log-linear models can be considered solved. This is an exciting book! Methodologists and data analysts in all empirical disciplines should place it on their shelves.Alexander von Eye, Michigan State University.