Longitudinal Structural Equation Modeling (Methodology in the Social Sciences)
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 among the leading statisticians, especially, in the art of structural equation modeling. In his new book: "Longitudinal Structural Equation Modeling" he adds several aspects. First, he shares his own experience with the readers such that the text becomes very practical and many operational advices are given which save the muddling through 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. Overall these advantages, Prof. Little use friendly language and a generous sense of humor, some is ready for quoting, though reading the book require a great deal of efforts 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 repeatedly.
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
