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Structural equation modeling : = applications in ecological and evolutionary biology /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Structural equation modeling :/ edited by Bruce H. Pugesek, Adrian Tomer, and Alexander von Eye.
Reminder of title:	applications in ecological and evolutionary biology /
other author:	Eye, Alexander von,
Description:	1 online resource (xiii, 409 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Evolution (Biology) - Statistical methods. -
Online resource:	https://doi.org/10.1017/CBO9780511542138
ISBN:	9780511542138 (ebook)

Structural equation modeling : = applications in ecological and evolutionary biology /
Structural equation modeling :applications in ecological and evolutionary biology /edited by Bruce H. Pugesek, Adrian Tomer, and Alexander von Eye. - 1 online resource (xiii, 409 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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 modelling (SEM) is a technique that is used to estimate, analyse 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 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 website to assist the learning process.

ISBN: 9780511542138 (ebook)Subjects--Topical Terms:

672051
Evolution (Biology)
--Statistical methods.

LC Class. No.: QH541.15.M3 / S77 2003

Dewey Class. No.: 577/.015/118

Structural equation modeling : = applications in ecological and evolutionary biology /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 $a 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.
520 $a Structural equation modelling (SEM) is a technique that is used to estimate, analyse 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 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 website to assist the learning process.
650 0 $a Evolution (Biology) $x Statistical methods. $3 672051
650 0 $a Ecology $x Statistical methods. $3 897018
650 0 $a Evolution (Biology) $x Mathematical models. $3 595289
650 0 $a Ecology $x Mathematical models. $3 528208
700 1 $a Eye, Alexander von, $e editor of compilation. $3 1135090
700 1 $a Tomer, Adrian, $e editor. $3 1445511
700 1 $a Pugesek, Bruce H., $d 1951- $e editor. $3 1445510
776 0 8 $i Print version: $z 9780521781336
856 4 0 $u https://doi.org/10.1017/CBO9780511542138