Books  Data Analysis & Modelling  Data Analysis & Statistics 

Structural Equation Modeling and Natural Systems

By: James B Grace

365 pages, 130 line diagrams, 40 tables

Cambridge University Press

Paperback | Aug 2006 | #147404 | ISBN: 0521546532
Availability: Usually dispatched within 6 days Details
NHBS Price: £47.99 $64/€54 approx
Hardback | Aug 2006 | #147403 | ISBN: 0521837421
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About this book

There is growing recognition that ecological systems are so complex that major advances will only come as techniques are developed for analysing networks of variables, rather than by the more traditional approach of looking at one response variable at a time.

This new textbook for students and researchers in ecology explains how to study multivariate hypotheses, with a focus on structural equation modelling and iterative partial least squares analysis. Covering topics such as the way that research questions are posed, data is collected and conclusions are drawn, this book critically examines the adequacy of the methodological paradigms currently used by ecologists, whilst posing questions about the future of multivariate methodology and how developments will advance our understanding.

'... excellent ...' Fish and Fisheries '... well suited to its intended readership.' Biometrics


Part I. A Beginning: 1. Introduction; 2. Illustration of structural equation modeling with observed variables: the temporal dynamics of a plant-insect interaction; Part II. Basic Principles of Structural Equation Modeling: 3. The anatomy of structural equation models I: overview and observed variable models; 4. The anatomy of structural equation models II: latent variables; 5. Principles of estimation and model assessment; Part III. Advanced Topics: 6. Composite variables and their use in representing concepts; 7. Additional techniques for complex situations; Part IV. Applications and Illustrations: 8. Model evaluation in practice; 9. Multivariate experiments; 10. The systematic application of a multivariate perspective to understanding plant diversity patterns in ecological communities; 11. Cautions and recommendations for the application of SEM; Part V. The Implications of Structural Equation Modeling for the Study of Natural Systems: 12. How can structural equation modeling contribute to the advancement of the natural sciences?; 13. Tuning in to nature's symphony: frontiers in the study of multivariate relations; Appendix I. Example analyses; References.

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James B. 'Jim' Grace obtained his Bachelor of Science degree from Presbyterian College, his Master's of Science degree from Clemson University, and his Ph.D. from Michigan State University. He served on the faculty at the University of Arkansas and later at Louisiana State University, where he reached the rank of Professor. He has, for the past several years, worked at the US Geological Survey's National Wetlands Research Center in Lafayette, Louisiana, USA where he is a Senior Research Ecologist. He holds an Adjunct Professorship at the University of Louisiana in the Biology Department.

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