資料來源: Google Book
Structural equation modeling :applications in ecological and evolutionary biology
- 其他作者: Pugesek, Bruce H., , Tomer, Adrian, , Eye, Alexander von,
- 出版:
- 稽核項: 1 online resource (xiii, 409 pages) :illustrations.
- 標題: Environmental Science (see also ChemistryEnvironmental) , Ecology Mathematical models. , Ecology , SCIENCE Life Sciences -- Ecology. , NATURE Ecosystems & Habitats -- Wilderness. , NATURE Ecology. , NATURE , SCIENCE Environmental Science (see also Chemistry -- Environmental) , SCIENCE , Evolution (Biology) , Evolution (Biology) Statistical methods. , Ecosystems & HabitatsWilderness. , Life SciencesEcology. , Statistical methods. , Mathematical models. , Electronic book. , Electronic books. , Evolution (Biology) Mathematical models. , Ecology. , Ecology Statistical methods.
- ISBN: 0521104025 , 9780521104029
- ISBN: 0521781337
- 試查全文@TNUA:
- 附註: 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.
- 摘要: 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.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=120317
- 系統號: 005312741
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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
來源: Google Book
來源: Google Book
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