Structural Equation Modeling: Applications in Ecological and Evolutionary Biology

Pugesek, Bruce H.

ISBN 10: 0521104025 / ISBN 13: 9780521104029

Published by Cambridge University Press, 2009

About this Item

Structural equation modelling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables. Editor(s): Pugesek, Bruce H.; Tomer, Adrian; Von Eye, Alexander. Num Pages: 424 pages, 74 b/w illus. 61 tables. BIC Classification: PBT; PDE; PSAF; PSAJ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 154 x 230 x 31. Weight in Grams: 638. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780521104029

Bibliographic Details

• Title: Structural Equation Modeling: Applications in Ecological and Evolutionary Biology
• Publisher: Cambridge University Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0521104025
• ISBN 13: 9780521104029
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits that add strength to its utility as a means of making scientific progress. In light of the capabilities of SEM, it can be argued that much of ecological theory is currently locked in an immature state that impairs its relevance. It is further argued that the principles of SEM are capable of leading to the development and evaluation of multivariate theories of the sort vitally needed for the conservation of natural systems. Supplementary information can be found at the authors website,http://www.jamesbgrace.com/. Details why multivariate analyses should be used to study ecological systems Exposes unappreciated weakness in many current popular analyses Emphasises the future methodological developments needed to advance our understanding of ecological systems

About the Authors

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.