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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
It is great book for long. data analysis, I will definitely use this book for my students.
excellent companion to primary book selected.
this book is too difficult for any students
Easy to use text - provides the essentials for researchers who are not primarily methodologists, making it excellent for students.
The text is very technical and difficult for the hons and M level students
Good introductory and advanced text on SEM. Use of R for supplemental analyses is good choice.
The students found it difficult to understand, it is suitable for PhD research or higher
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.
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.
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.
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