An Introduction to Latent Variable Growth Curve Modeling: by Terry E. Duncan,Susan C. Duncan,Lisa A. Strycker

By Terry E. Duncan,Susan C. Duncan,Lisa A. Strycker

This ebook offers a accomplished creation to latent variable progress curve modeling (LGM) for examining repeated measures. It provides the statistical foundation for LGM and its a variety of methodological extensions, together with a couple of functional examples of its use. it's designed to use the reader’s familiarity with research of variance and structural equation modeling (SEM) in introducing LGM thoughts. pattern info, syntax, enter and output, are supplied for EQS, Amos, LISREL, and Mplus at the book’s CD. during the publication, the authors current various LGM innovations which are priceless for plenty of diverse study designs, and various figures supply invaluable diagrams of the examples.


Updated all through, the second one version gains 3 new chapters—growth modeling with ordered express variables, development mix modeling, and pooled interrupted time sequence LGM techniques. Following a brand new association, the booklet now covers the advance of the LGM, through chapters on multiple-group matters (analyzing progress in a number of populations, sped up designs, and multi-level longitudinal approaches), after which particular issues resembling lacking facts versions, LGM strength and Monte Carlo estimation, and latent development interplay types. The version necessities formerly integrated within the appendices at the moment are on hand at the CD so the reader can extra simply adapt the types to their very own research.


This functional advisor is perfect for a variety of social and behavioral researchers drawn to the size of switch over the years, together with social, developmental, organizational, academic, client, character and medical psychologists, sociologists, and quantitative methodologists, in addition to for a textual content on latent variable development curve modeling or as a complement for a path on multivariate statistics. A prerequisite of graduate point records is recommended.

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