Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
- Niels Blunch - Aarhus School of Business, Denmark
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field.
The book includes:
- Learning objectives, key concepts and questions for further discussion in each chapter
- Helpful diagrams and screenshots to expand on concepts covered in the texts
- Real life examples from a variety of disciplines to show hoe SEM is applied in real research contexts
- Exercises for each chapter on an accompanying companion website
- A new glossary at the end of book
Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline.
Supplements
Very accessible introduction to the topic of Structural Equation Modelling, with a clear focus on social science students. With an emphasize on non-technical issues, and plenty of real world examples I strongly believe this is a very suitable book for students within various fields of social science.
Advance multivariate statistics are central to current research in organisational psychology with SPSS and Amos as the most used softwares.
Too advanced for MA students; PhD students would benefit though
This book is good for introducing students to structural equation modelling, but I would only recommend it as supplementary material for students on an advanced statistics course due to its complexity in parts.
A very useful book to perform structural equation modeling using Amos! Recommended for postgraduate students.
A very comprehensive guide into the use of structural equation modeling with AMOS. The right amount of statistical background combined with easy to understand and comprehensible examples that increase in complexity through the book. The English is clear and easy to follow without losing scientific standards, even for non-native speakers.
In addition, the supplement material provided is excellent, from exercises and data used in the book to published online readings in your field of research.
If you think about starting to work with AMOS and SEM, this book provides as a good starting point.
This is an excellent reference book for Structural Equation Modelling in AMOS. This covers both theoretical as well as applied side of SEM. I would recommend it to anyone interested for applied research with SEM.
This is a good introductory text for those starting out with structural equation modelling. Possibly more suited to students at Level 6 or above.
for interested students, thi book was a good way to gather Information about SEM
I really liked the book as an introduction to SEM for my own work (postgraduate). However, students reported that it was hard to read since advanced knowledge of statistics is assumed.
