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Structural Equation Modeling
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Structural Equation Modeling
Foundations and Extensions

Second Edition


July 2008 | 272 pages | SAGE Publications, Inc
Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face.

Intended Audience

While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.


 
Preface to the Second Edition
 
1. Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables
 
2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables
 
3. Factor Analysis
 
4. Structural Equation Models in Single and Multiple Groups
 
5. Statistical Assumptions Underlying Structural Equation Modeling
 
6. Evaluating and Modifying Structural Equation Models
 
7. Multilevel Structural Equation Modeling
 
8. Latent Growth Curve Modeling
 
9. Structural Models for Categorical and Continuous Latent Variables
 
10. Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling

The students found it difficult to understand, it is suitable for PhD research or higher

Dr Ali Al-Sherbaz
Business & International Mgmt Division, Northampton University
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A must have for those looking forward understanding SEM at the equations level.

Dr Bruno Schivinski
Nottingham Business School, Nottingham Trent University
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Unfortunately the book starts too quickly into technical details without explaining basics such as endogenous and exogenous variables (p.14). It is therefore not suitable as a text book for beginners.

Dr Daniel Stahl
Biostatistics and Computing, King's College London
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excellent companion to primary book selected.

Dr Ernesto Rosario-Hernandez
Psychology , Ponce School of Medicine
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this book is too difficult for any students

Dr George Kodsy
information technology, college applied science
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It provides a great foundation to SEM in a way that students will understand

Dr Kevin Masick
Psychology Dept, Iona College
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This is a very useful guide to structural equation modelling. I would recommend it as supplemental material for my measurement courses.

Dr Maria Pampaka
Social Science, Univ. of Manchester
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An excellent, accessible book. The structure is clear, the maths are well explained and progressed throughout the book. With the book it is possible to embark on SEM without floundering.

Dr Paula Kersten
School of Health Sciences, Southampton University
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Easy to use text - provides the essentials for researchers who are not primarily methodologists, making it excellent for students.

Dr Scott Smith
Sociology Anthropology Dept, Oakland University
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It is great book for long. data analysis, I will definitely use this book for my students.

Mr Fatih Koca
COLLEGE OF EDUCATION, TEXAS TECH
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Key features
NEW TO THIS EDITION:
  • The foundations of SEM, including path analysis and factor analysis.
  • Traditional SEM for continuous latent variables, including latent growth curve modeling for continuous growth factors, and issues in testing assumptions of SEM.
  • SEM for categorical latent variables, including latent class analysis, Markov models (latent and mixed latent), and growth mixture modeling.
  • Philosophical issues in the practice of SEM, including the problem of causal inference.