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Stanley A. Mulaik, Linear Causal Modeling with Structural Equations, Chapman & Hall/CRC., 2009, pp. 468, ISBN: 14398 00383

Stanley A. Mulaik, Linear Causal Modeling with Structural Equations, Chapman & Hall/CRC., 2009,... Journal of Classification 27:404-407 (2010) DOI: 10.1007/s00357-010-9067-3 BOOK REVIEW Stanley A. Mulaik, Linear Causal Modeling with Structural Equ- ations, Chapman & Hall/CRC., 2009, pp. 468, ISBN: 14398 This book presents a novel approach to the teaching of structural equation modeling from one of the primary figures in the area. It is primar- ily addressed to quantitative methodologists and their graduate students but will be useful to the wider audience of individuals interested in more extended and contemporary presentations of structural equation modeling. Particular strengths of the book include: 1) an extended philosophical re- view of various notions of causality and how these are implicated in the specification, evaluation and interpretation of structural models; 2) a broad contextualization of inquiry in structural models, including such topics as graph theory; 3) systematic presentations of the basics of structural model- ing in graphic, equation, and matrix form; and 4) an extended examination and review of model evaluation in structural equation models. Topic ex- tensions of structural models, such as longitudinal, nonrecursive, or multi- level models, reference the primary literature in the area and refer the reader to extended discussions of contemporary developments. Taken to- gether, the book is a systematic presentation of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

Stanley A. Mulaik, Linear Causal Modeling with Structural Equations, Chapman & Hall/CRC., 2009, pp. 468, ISBN: 14398 00383

Wood, Phillip
Journal of Classification , Volume 27 (3) – Nov 10, 2010
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References (7)

Publisher
Springer Journals
Copyright
Copyright © 2010 by Springer Science+Business Media, LLC
Subject
Statistics; Marketing ; Psychometrics; Signal, Image and Speech Processing; Bioinformatics; Pattern Recognition; Statistical Theory and Methods
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/s00357-010-9067-3
Publisher site
See Article on Publisher Site

Abstract

Journal of Classification 27:404-407 (2010) DOI: 10.1007/s00357-010-9067-3 BOOK REVIEW Stanley A. Mulaik, Linear Causal Modeling with Structural Equ- ations, Chapman & Hall/CRC., 2009, pp. 468, ISBN: 14398 This book presents a novel approach to the teaching of structural equation modeling from one of the primary figures in the area. It is primar- ily addressed to quantitative methodologists and their graduate students but will be useful to the wider audience of individuals interested in more extended and contemporary presentations of structural equation modeling. Particular strengths of the book include: 1) an extended philosophical re- view of various notions of causality and how these are implicated in the specification, evaluation and interpretation of structural models; 2) a broad contextualization of inquiry in structural models, including such topics as graph theory; 3) systematic presentations of the basics of structural model- ing in graphic, equation, and matrix form; and 4) an extended examination and review of model evaluation in structural equation models. Topic ex- tensions of structural models, such as longitudinal, nonrecursive, or multi- level models, reference the primary literature in the area and refer the reader to extended discussions of contemporary developments. Taken to- gether, the book is a systematic presentation of

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Journal of Classification – Springer Journals

Published: Nov 10, 2010

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