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http://www.amazon.com/Longitudinal-Structural-Equation-Modeling-Methodology/dp/1462510167by Todd D. Little

Little (2013) by all means is not little – a “big” book by Little

Prof. Little is a leading statistician, especially in the art of structural equation modeling. In his new book: "Longitudinal Structural Equation Modeling" he adds several new areas of value. First, he shares his own experience with the readers such that the text becomes very practical and lots of operational advice is given which saves time. He is very innovative in introducing several measurement instruments usually not common among lay users of statistics. This introduction stimulates experimentation with alternative models and more complex structures. Most of all, Prof. Little use friendly language and a generous sense of humor.  Some parts are quite quotable, though reading the book requires a great deal of effort to clearly understand the meaning of all terms, figures, and text. In my work as a statistical consultant, I find the book extremely helpful and I cite it frequently.

Topics covered by the book: principles of SEM; issues for longitudinal analysis; measurement models; moments of goodness of fit for SEM and longitudinal SEM and sample size issues; longitudinal CFA; individual growth curve models in SEM; longitudinal mediation and moderation; complex SEMs and their decomposition

Dr. Gabriel Liberman – Data-Graph Statistical Consulting 

Link to Amazon