Structural equation modeling: applications in ecological and evolutionary biology
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Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press ©2003
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Beschreibung:Includes bibliographical references
Part I. Theory -- 1. Structural equation modeling : an introduction / Scott L. Hershberger, George A. Marcoulides and Makeba M. Parramore -- 2. Concepts of structural equation modeling in biological research / Bruce H. Pugesek -- 3. Modeling a complex conceptual theory of population change in the shiras moose : history and recasting as a structural equation model / Bruce H. Pugesek -- 4. A short history of structural equation models / Adrian Tomer -- 5. Guidelines for the implementation and publication of structural equation models / Adrian Tomer and Bruce H. Pugesek -- Part II. Applications -- 6. Modeling intraindividual variability and change in bio-behavioural developmental processes / Patricia H. Hawley and Todd D. Little -- 7. Examining the relationship between environmental variables and ordination axes using latent variables and structural equation modeling / James B. Grace -- 8. From biological hypothesis to structural equation models : the imperfection of causal translation / Bill Shipley -- 9. Analyzing dynamic systems : a comparison of structural equation modeling and system dynamics modeling / Peter S. Hovmand -- 10. Estimating analysis of variance models as structural equation models / Michael J. Rovine and Peter C.M. Molenaar -- 11. Comparing groups using structural equations / James B. Grace -- 12. Modeling means in latent variable models of natural selection / Bruce H. Pugesek -- 13. 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 -- 14. A comparison of the SEM software packages Amos, EQS and LISREL / Alexander von Eye and Bret E. Fuller
Structural equation modeling (SEM) is a statistical methodology which, in this book, is applied to biological research questions. The book will serve as a valuable resource for both learning and teaching the SEM methodology and is adapted to the statistical knowledge and background of the research biologist
Beschreibung:1 Online-Ressource (xiii, 409 pages)
ISBN:0511066880
0511069014
0511178778
0521781337
9780511066887
9780511069017
9780511178771

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