Structural Equation Modeling
Foundations and Extensions
- David Kaplan - University of Wisconsin - Madison, USA
- 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.
The students found it difficult to understand, it is suitable for PhD research or higher
A must have for those looking forward understanding SEM at the equations level.
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.
excellent companion to primary book selected.
this book is too difficult for any students
It provides a great foundation to SEM in a way that students will understand
This is a very useful guide to structural equation modelling. I would recommend it as supplemental material for my measurement courses.
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.
Easy to use text - provides the essentials for researchers who are not primarily methodologists, making it excellent for students.
It is great book for long. data analysis, I will definitely use this book for my students.
