"A state-of-the-art tour of the newest methods for an important approach to hypothesis testing in contingency table analysis. Clearly written and loaded with excellent examples, this book takes the reader through cross-sectional and longitudinal models, including interesting approaches to mediator and moderator analysis and auto-association modeling. The authors' practical approach allows the researcher to immediately implement these very advanced models."--Michael J. Rovine, PhD, Department of Human Development and Family Studies, The Pennsylvania State University   "A very user-friendly book that offers practical examples of many advanced topics for those interested in a new person-oriented data analytic approach. I appreciated how the same data examples were used in different chapters in order to illustrate the different types of questions that can be answered through configural frequency analysis. This helps the reader stay focused on the material at hand and reinforces the general applicability of the method to a wide variety of research questions."--Michael J.

Cleveland, PhD, Methodology Center, The Pennsylvania State University   "This book offers an outstanding presentation of advances in configural frequency analysis. In particular, the chapters on methods for the investigation of mediation, moderation, and longitudinal data will be very useful to researchers. These new approaches to configural analysis represent a valuable approach to answering and generating new research questions. A strength of the book is that many real data sets and examples are provided. This is a good book for categorical data analysis courses and an important reference for researchers applying the method."--David P. MacKinnon, PhD, Department of Psychology, Arizona State University   "A strong resource for researchers interested in the application of innovative statistical methods to handle categorical data. The authors describe steps for using state-of-the-art statistical methods, writing in a manner that facilitates analysis and understanding of complex statistical concepts.

Included are examples showing how to apply configural frequency analysis to handle categorical data using longitudinal and factorial designs."--Mildred M. Maldonado-Molina, PhD, Department of Epidemiology and Health Policy Research, University of Florida   "There is a wealth of operational detail about the statistical base of configural frequency analysis and computational logistics. Other strengths of the book are the use of program output to illustrate points and the helpful chapter summaries."--Paula S. Nurius, MSW, PhD, School of Social Work, University of Washington.