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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos, by Niels J. Blunch
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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.
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- Sales Rank: #766191 in Books
- Brand: Brand: SAGE Publications Ltd
- Published on: 2013-04-05
- Released on: 2013-04-05
- Original language: English
- Number of items: 1
- Dimensions: 9.53" h x .71" w x 6.69" l, .0 pounds
- Binding: Paperback
- 312 pages
- Used Book in Good Condition
Review
This is a cutting-edge update of a comprehensive and highly successful textbook. I would recommend it without hesitation to anyone who wants to get to grips with structural equasion modeling in AMOS.
K. V. Petrides
London Psychometric Laboratory, University College London
The most accessible book on structural equation modeling just became even more accessible. Using realistic datasets and generous insight, this text effectively covers both theoretical understanding and, importantly, successful application of SEM. Blunch is the must-have resource for researchers, advanced undergraduates and graduate students.
Julie Davies
School of Psychology, Bangor University
About the Author
Niels J. Blunch�was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Best text for SEM basics and the AMOS graphic interface
By Andrew Sangster
This is the best text available for both a thorough coverage of SEM basics and the AMOS graphics interface. It has some material on panel data and multilevel data.
0 of 0 people found the following review helpful.
It could be a good book but there are moments where you don't know ...
By RAUL
It could be a good book but there are moments where you don't know how he got the data and how he made the transformation of them.
0 of 0 people found the following review helpful.
Great textbook - required for a class
By Josh
Great textbook - required for a class. Breaks down SEM in an easy to understand way. Good overview of regression as well.
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