Structural Equation Modeling: Applications in Ecological and Evolutionary Biology
Editorial Reviews
Book Description
Structural Equation Modeling (SEM) is a technique that is used to estimate, analyze and test models that specify relationships among variables. This book explains the theory behind the statistical methodology, including chapters on conceptual issues, the implementation of an SEM study, and the history of the development of SEM. It provides examples of analyses on biological data including multi-group models, means models, p-technique and time-series. In addition, the book discusses computer applications and contrasts three popular SEM software packages. Data sets and programs in the book can be downloaded from http://nrmsc.usgs.gov/products/Pugesek_SEM.htm.
About the Author
Bruce Pugesek is a research statistician in the U.S. Department of the Interior and is adjunct professor in the Department of Comparative Biomedical Sciences at The Louisiana State University. Adrian Tomer is an Associate Professor at the Department of Psychology at Shippensburg University, Pennsylvania, where he teaches the psychology of aging and developmental psychology. Alexander von Eye is a Professor in the Department of Psychology at Michigan State University.
Structural Equation Modeling: Applications in Ecological and Evolutionary Biology,Bruce H. Pugesek,Adrian Tomer,Alexander von Eye,Cambridge University Press,0521781337,Biostatistics,Ecology,Evolution (Biology),Life Sciences - Biology - General,Life Sciences - Ecology,Life Sciences - Evolution,Mathematical models,Organic Evolution,Probability & Statistics - General,Science,Science/Mathematics,Statistical methods,Biology, Life Sciences,Environmental science,Mathematics for scientists & engineers,Science / Biology
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