國立虎尾科技大學 |

Structural equation modeling and natural systems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Structural equation modeling and natural systems // James B. Grace.
其他題名:	Structural Equation Modeling & Natural Systems
作者:	Grace, James B.,
面頁冊數:	1 online resource (xii, 365 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Biotic communities - Mathematical models. -
電子資源:	https://doi.org/10.1017/CBO9780511617799
ISBN:	9780511617799 (ebook)

Structural equation modeling and natural systems /
Grace, James B.,

Structural equation modeling and natural systems /Structural Equation Modeling & Natural SystemsJames B. Grace. - 1 online resource (xii, 365 pages) :digital, PDF file(s).

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

This book, first published in 2006, 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.

ISBN: 9780511617799 (ebook)Subjects--Topical Terms:

1028349
Biotic communities
--Mathematical models.

LC Class. No.: QH541.15.M3 / G73 2006

Dewey Class. No.: 577.01519535

Structural equation modeling and natural systems /
LDR:02115nam a2200301 i 4500 001 1126712
003 UkCbUP
005 20151005020624.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2006||||enk o ||1 0|eng|d
020 $a 9780511617799 (ebook)
020 $z 9780521837422 (hardback)
020 $z 9780521546539 (paperback)
035 $a CR9780511617799
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a QH541.15.M3 $b G73 2006
082 0 0 $a 577.01519535 $2 22
100 1 $a Grace, James B., $e author. $3 1445703
245 1 0 $a Structural equation modeling and natural systems / $c James B. Grace.
246 3 $a Structural Equation Modeling & Natural Systems
264 1 $a Cambridge : $b Cambridge University Press, $c 2006.
300 $a 1 online resource (xii, 365 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a This book, first published in 2006, 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.
650 0 $a Biotic communities $x Mathematical models. $3 1028349
650 0 $a Multivariate analysis. $3 577402
776 0 8 $i Print version: $z 9780521837422
856 4 0 $u https://doi.org/10.1017/CBO9780511617799