Structural Equation Modeling

Applications in Ecological and Evolutionary Biology

Bruce H. Pugesek, Adrian Tomer, Alexander Von Eye

422 pages, parution le 11/02/2003

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Résumé

Structural Equation Modeling (SEM) is a technique that is used to estimate, analyze and test models that specify relationships among variables. The ability to conduct such analyses is essential for many problems in ecology and evolutionary biology. This book begins by explaining 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. The second section provides examples of analyses on biological data including multi-group models, means models, p-technique and time-series. The final section of the book deals with computer applications and contrasts three popular SEM software packages. Aimed specifically at biological researchers and graduate students, this book will serve as a valuable resource for both learning and teaching the SEM methodology. Moreover, data sets and programs that are presented in the book can also be downloaded from a web site to assist the learning process.

Contents

Part I. Theory

Structural equation modeling: an introduction Scott L. Hershberger, George A. Marcoulides and Makeba M. Parramore
Concepts of structural equation modeling in biological research Bruce H. Pugesek
Modeling a complex conceptual theory of population change in the shiras moose: history and recasting as a structural equation model Bruce H. Pugesek
A short history of structural equation models Adrian Tomer
Guidelines for the implementation and publication of structural equation models Adrian Tomer and Bruce H. Pugesek

Part II. Applications

Modeling intraindividual variability and change in bio-behavioural developmental processes Patricia H. Hawley and Todd D. Little
Examining the relationship between environmental variables and ordination axes using latent variables and structural equation modeling James B. Grace
From biological hypothesis to structural equation models: the imperfection of causal translation Bill Shipley
Analyzing dynamic systems: a comparison of structural equation modeling and system dynamics modeling Peter S. Hovmand
Estimating analysis of variance models as structural equation models Michael J. Rovine and Peter C. M. Molenaar
Comparing groups using structural equations James B. Grace
Modeling means in latent variable models of natural selection Bruce H. Pugesek
Modeling manifest variables in longitudinal designs - a two-stage approach Bret E. Fuller, Alexander von Eye, Phillip K. Wood and Bob Keeland

Part III. Computing

A comparison of the SEM software packages Amos, EQS and LISREL Alexander von Eye and Bret E. Fuller

Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Bruce H. Pugesek, Adrian Tomer, Alexander Von Eye
Parution	11/02/2003
Nb. de pages	422
Format	15,5 x 23,5
Couverture	Relié
Poids	798g
Intérieur	Noir et Blanc
EAN13	9780521781336
ISBN13	978-0-521-78133-6