Structural equation modeling and natural systems /

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Bibliographic Details
Author / Creator:	Grace, James B.
Imprint:	Cambridge, UK ; New York : Cambridge University Press, 2006.
Description:	1 online resource (xii, 365 pages) : illustrations
Language:	English
Subject:	Biotic communities -- Mathematical models. Multivariate analysis. Biotic communities -- Mathematical models. Multivariate analysis. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11812609

Hidden Bibliographic Details
ISBN:	9780511242120 0511242123 0511240562 9780511240560 0511241089 9780511241086 0511241607 9780511241604 9780511617799 0511617798 0521546532 0521837421 9780521837422 9780521546539
Notes:	Includes bibliographical references (pages 350-360) and index. Print version record.
Summary:	There is growing recognition that ecological systems are so complex that major advances will only come as techniques are developed for analysing networks of variables. This new textbook critically examines research methods used by ecologists, whilst posing questions about the future of multivariate methodology and how developments will advance understanding.
Other form:	Print version: Grace, James B. Structural equation modeling and natural systems. Cambridge, UK ; New York : Cambridge University Press, 2006 0521837421 9780521837422

Table of Contents:

Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; 1 Introduction; 2 An example model with observed variables; 3 The anatomy of models I: observed variable models; 4 The anatomy of models II: latent variables; 5 Principles of estimation and model assessment; 6 Composite variables and their uses; 7 Additional techniques for complex situations; 8 Model evaluation in practice; 9 Multivariate experiments; 10 The systematic use of SEM: an example; 11 Cautions and recommendations; 12 How can SEM contribute to scientific advancement?

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