Mulaik (emeritus psychology, Georgia Institute of Technology) writes specifically for quantitative methodologists and graduate students in methodological programs, but suggests that the book would also be useful for researchers and graduate students in the behavioral and social sciences who are seeking a deeper understanding of causation, linear causal modeling, and structural equation modeling than provided in standard texts. The more mathematically sophisticated chapters require a working knowledge of calculus, but even there, he says, he tries to offer non-mathematical explanations. Among his topics are graph theory for causal modeling, estimation of parameters, equivalent models, instrumental variables, and model evaluation. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)