Structural Equation Modeling
Foundations and Extensions
- 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.
A must have for those looking forward understanding SEM at the equations level.
Although this textbook is one of the best in the market for SEM, I found it very complex to use with students. It should be used in combination with other textbooks more focused on the practical application of SEM.
The book takes a very mathematical approach and is too advanced/unsuitable for most postgraduate courses in the social sciences. It also doesn't provide a practical approach to using SEM or SEM software. The book would be more value and interest to students on mathematical courses or those who want a better understanding of the statistical theory underpinning SEM.
The book is great, but maybe too sophisticated for master students.
Advanced book for structural equation modeling. I recommend this book to students who already have some experience in this field. It is well written and a great possibility to further gain some insights!
While David Kaplan did an excellent job in describing the Extensions of SEM, this book is not suited for students starting with SEM.
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.
This is a very useful guide to structural equation modelling. I would recommend it as supplemental material for my measurement courses.
A classic book well explained and appropriate for an introduction to SEM
Provides great explanation of SEMs
