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Structural Equation Modeling

Structural Equation Modeling
Foundations and Extensions

Second Edition

October 2012 | 272 pages | SAGE Publications, Inc
Thoroughly revised to address the recent developments that continue to shape the use of structural equation modeling (SEM) in the social and behavioural sciences, the Second Edition of Structural Equation Modeling author has restructured the book into three defined sections:

- the foundations of SEM, including path analysis and factor analysis

- traditional SEM for continuous latent variables, including assumption issues as well as latent growth curve modeling for continuous growth factors

- SEM for categorical latent variables, including latent class analysis, Markov models (latent and mixed latent), and growth mixture modeling.

Through the use of detailed, empirical examples, Kaplan demonstrates how SEM can provide a unique lens on the problems social and behavioural scientists face. The book has been enhanced with certain features that will guide the student and researcher through the foundations and critical assumptions of SEM.

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

It is great book for long. data analysis, I will definitely use this book for my students.

Mr Fatih Koca
July 3, 2013

excellent companion to primary book selected.

Dr Ernesto Rosario-Hernandez
Psychology , Ponce School of Medicine
July 3, 2013

this book is too difficult for any students

Dr George Kodsy
information technology, college applied science
May 22, 2013

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
August 2, 2012

The text is very technical and difficult for the hons and M level students

Professor David Maree
Psychology , University of Pretoria
July 10, 2012

Good introductory and advanced text on SEM. Use of R for supplemental analyses is good choice.

Professor Joachim Kruse
Department of Psychology & Pedagogics, Ludwig Maximilian University of Munich
August 8, 2011

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
August 2, 2011

Although the course will be held in English, students wanted some literature to be in German and the book "Strukturgleichungsmodellierung" by Weiber and Mühlhaus was chosen instead.

Mrs Carla Sánchez Aguilar
Faculty of Economics, Georg-August University of Göttingen
July 19, 2011

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
April 17, 2011

This is an excellent introduction into Structural Equation Modelling. I liked the historical approach detailing from which ideas SEM actually emerged, which helped in getting the overall idea. Moreover, having studied mathematics, I appreciated the connection that is established between the conceptual ideas behind and the mathematics of SEM. In the end the book helped me to understand SEM beyond the mere use of a software.

Professor Knut Neumann
Please select your department, University of Kiel
March 14, 2011

David W. Kaplan

David Kaplan received his Ph.D. in Education from UCLA in 1987. He is now a Professor of Education and (by courtesy) Psychology at the University of Delaware. His research interests are in the development and application of statistical models to problems in educational evaluation and policy analysis. His current program of research concerns the development of dynamic latent continuous and categorical variable models for studying the diffusion of educational innovations. More About Author

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ISBN: 9781412916240

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