000			04175nam a22003978i 4500
001			CR9780511542138
003			UkCbUP
005			20200124160317.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090505s2003||||enk o ||1 0|eng|d
020			_a9780511542138 (ebook)
020			_z9780521781336 (hardback)
020			_z9780521104029 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH541.15.M3 _bS77 2003
082	0	0	_a577/.015/118 _221
245	0	0	_aStructural equation modeling : _bapplications in ecological and evolutionary biology / _cedited by Bruce H. Pugesek, Adrian Tomer, and Alexander von Eye.
264		1	_aCambridge : _bCambridge University Press, _c2003.
300			_a1 online resource (xiii, 409 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aPart 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			_aStructural 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	_aEcology _xMathematical models.
650		0	_aEvolution (Biology) _xMathematical models.
650		0	_aEcology _xStatistical methods.
650		0	_aEvolution (Biology) _xStatistical methods.
700	1		_aPugesek, Bruce H., _d1951- _eeditor.
700	1		_aTomer, Adrian, _eeditor.
700	1		_aEye, Alexander von, _eeditor.
776	0	8	_iPrint version: _z9780521781336
856	4	0	_uhttps://doi.org/10.1017/CBO9780511542138
999			_c521581 _d521579