This book provides an introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. Designed to take advantage of the reader's familiarity with ANOVA and SEM in introducing LGM techniques, the book presents the statistical basis for LGM and its various methodological extensions and practical examples of its use. "?The book is an excellent mid-level text on latent growth modeling? [The graphics] are arguably better than those in any other book on any aspect of SEM. They are crisp and clear, and the inclusion of the theoretical weights is greatly helpful in understanding the graphics?" - Lee Sechrest, Ph.D., University of Arizona "I initially learned growth modeling from this book, and I am still a big fan. It allowed me to jump in and get my feet wet with this flexible analytic method?the text really is just as its title suggestsan introduction-and an excellent one at that...." - James A. Bovaird, Ph.D., University of Kansas