Categorical Data Analysis with Structural Equation Models

“I particularly enjoy the lavaan and Mplus code that accompanies the book, which is more detailed than in other books I have come across. The book is well written and provides excellent syntax examples. I would use it to teach categorical SEM in my graduate SEM course.”

—Jam Khojasteh, PhD, Research, Evaluation, Measurement, and Statistics Program, Oklahoma State University


“This book fills an important gap in texts on SEM. Grimm provides rigorous, in-depth coverage of regression, path models, SEM, growth models, and mixture models, combined with practical instruction on programming in Mplus and lavaan. This book is a valuable resource for researchers modeling categorical, count, and time-to-event data, frequently encountered in social science research. As a course text, this book will provide the next level of knowledge to students who have learned the basics of SEM, and it will equip them with the expertise and skills necessary to implement these sophisticated models.”

—Paul Sacco, PhD, School of Social Work, University of Maryland, Baltimore