Edited By: Bruce Pugesek, Adrian Tomer and Alexander Von Eye
409 pages, Figs, tabs
Structural Equation Modeling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables. This volume provides an introduction to statistical methodology, including chapters on conceptual issues, the implementation of an SEM study, and the history of the development of SEM. It also provides examples of analyses on biological data including multi-group models, means models, p-technique and time-series, and contrasts three popular SEM software packages.
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