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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."
Good introductory and advanced text on SEM. Use of R for supplemental analyses is good choice.
It is great book for long. data analysis, I will definitely use this book for my students.
The text is very technical and difficult for the hons and M level students
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.
Provides great explanation of SEMs
This is a very up to date guide to structural equation modeling with a good balance of technical statistical aspects and practical applications. In clinical psychology these tools to approach multiple and complex data sets become more and more important.
Too high of a level for my students
A classic book well explained and appropriate for an introduction to SEM
Easy to use text - provides the essentials for researchers who are not primarily methodologists, making it excellent for students.
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 a very useful guide to structural equation modelling. I would recommend it as supplemental material for my measurement courses.
It provides a great foundation to SEM in a way that students will understand
this book is too difficult for any students
excellent companion to primary book selected.
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.
A must have for those looking forward understanding SEM at the equations level.
This book is too technical for my students. It is not user friendly.
