Structural equation modeling : applications in ecological and evolutionary biology /

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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 b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Pugesek, Bruce H., 1951- (Editor ), Tomer, Adrian (Editor ), Eye, Alexander von (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, 2003.
Temas:
Ecology > Mathematical models.
Evolution (Biology) > Mathematical models.
Ecology > Statistical methods.
Evolution (Biology) > Statistical methods.
SCIENCE > Environmental Science (see also Chemistry > Environmental)
NATURE > Ecosystems & Habitats > Wilderness.
NATURE > Ecology.
SCIENCE > Life Sciences > Ecology.
Ecology > Mathematical models
Ecology > Statistical methods
Evolution (Biology) > Mathematical models
Evolution (Biology) > Statistical methods
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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