Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)

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By: Rex B. Kline PhD
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EDITORIAL REVIEW

The bestselling text that has been so popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) has now been carefully revised to be even more useful.

New to this edition are:
* The first SEM text web page, offering free access to data and program syntax files for many of the research examples in the book, electronic overheads that readers can download and print, and links to other useful sites.
* Separate chapters that review fundamental statistical concepts: one on correlation and regression (providing a foundation for less advanced readers), and another on data preparation and screening.
* More coverage of the relation between measurement models and structural models in Chapter 8, which directly compares both types of models.
* New, separate chapters on nonrecursive models of multiple-sample SEM in Part III, including extensive explanations of latent growth models in Chapter 10 and multilevel SEM in Chapter 13.

PRODUCT DETAILS

Publisher: The Guilford Press
Pub. Date: 29th September 2004
Catalog: Book
Media: Paperback
Number Of Pages: 366
Ean: 9781572306905
Isbn: 1572306904

ABOUT THIS BOOK

USER REVIEWS

Principles and practice of structural equation modeling
~ Written on Feb 5, 2010. out of users found this review helpful.

Great book to use as a supplement to the LISREL 8 manuals. It's easy to read and provides references if you need to investigate a specific issue in more detail.

A truly remarkable book
~ Written on Jun 12, 2009. 1 out of 1 users found this review helpful.

When Joreskog and his colleagues introduced LISREL into social science discourse, my dissertation director was despondent. An old fogy at 40!

If he's alive today, however, I'm sure he feels much better. He'd be 64 now, and chances are he's had a chance to read Rex Kline's Principles and Practice of Structural Equation Modeling. Coupled with new, much more user-friendly software such as AMOS and CALIS, Kline's SEM book is not only readable but almost easy, while at the same time being comprehensive in coverage.

I never thought I'd see a book that presents not only the order condition for identification, but the rank condition, as well, without using matrix algebra. But Kline pulls it off. This example exemplifies Kline's talent for making really complex statistical procedures eminently accessible.

If my dissertation director is still working, I'm sure he's no longer intimidated by SEM, and he's using it to estimate informative models. In large measure, I'd be willing to guess, his new-found analytical power is due to Rex Kline's excellent textbook. I've benefited enormously from reading it.

Highly recommended for anyone transitioning from LISREL
~ Written on Aug 5, 2008. 2 out of 3 users found this review helpful.

AMOS can seem so simple that it is confusing. Where are the obfuscating command lines that we used to love? If you know and loathed another program in the same ilk, you may have problems with the ease of the AMOS graphic interface and command language. If this is the case, then this book is for you.

Excellent Book
~ Written on Jul 19, 2008. 2 out of 3 users found this review helpful.

I am a manager of a team of statisticians that work in Market Research. This book has helped my team of applied statisticians to understand the concepts involved in SEM as the book is very clear and makes few assumptions of the readers' knowledge. Mathematical formulas are kept to a minimum, with any that are shown fully described.

This is not to say the book is just an introductory book for beginners as it has many advanced insights and excellent examples that a more experienced modeller can learn from. It is one of the most read books in our library as the author makes the subject compelling to read and every time it is reread you learn more from it as it works on many levels.

It is an essential book to have on SEM from a conceptual and practical point of view. Though it is not a book for someone wanting to know the mathematics behind creating the models in depth.

This Book is GREAT!
~ Written on Apr 13, 2008. 1 out of 2 users found this review helpful.

This Book is Great for anyone doing analysis using SEM. It is a very good source of refference. Its clear and concise.

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