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Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series) | 
 enlarge | Author: Barbara M. Byrne
Publisher: Lawrence Erlbaum
Category: Book
List Price: $49.95
Buy New: $44.79
You Save: $5.16 (10%)
New (17) Used (10) from $44.79
Rating:  6 reviews
Sales Rank: 27306
Media: Paperback
Edition: 1
Pages: 352
Number Of Items: 1
Shipping Weight (lbs): 1.3
Dimensions (in): 9 x 6 x 0.9
ISBN: 0805841040
Dewey Decimal Number: 519
EAN: 9780805841046
Publication Date: April 1, 2001
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand New. Delivery is usually 5 - 8 working days from order, International is by Royal Mail Airmail
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Product Description
This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses.
Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by:
*a statement of the hypothesis being tested;
*a schematic representation of the model under study;
*the use and function of a wide variety of icons and pull-down menus;
*a full explanation of related AMOS Graphic input models and output files;
*a model input file based on AMOS BASIC; and
*the published reference from which each application was drawn.
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| Customer Reviews: Read 1 more reviews...
 Great Resource January 29, 2006
F. Butler
2 out of 2 found this review helpful
If you are looking for a good resource on learning how to use AMOS for structural equation modeling, this is definitely the book. It is easy to understand and well laid out. Well recommended, especially for teaching SEM to students.
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series) February 21, 2007
Joseph A. Haas
Great book, easy to read. It goes well as a companion book about SEM with a more mathematically heavy text. The author makes using AMOS easy! I've already shown my Professor something about AMOS he didn't know!
Great reference source January 28, 2008
J-wah
This is an excellent book for beginners to AMOS, as well as to anyone who needs an occasional straightforward and detailed reference source. That said, don't expect detailed discussions of the theoretical underpinnings of SEM. I would classify this as a strictly practical, hands-on approach - and completely indispensable because of it.
One little bit of concern I have is that this book was published in 2001. Though it appears to remain relevant, it was written using AMOS version 4.0 (I'm using 7.0 now). It hasn't been a problem so far, but I would expect to find a few things that are out of date from time-to-time. A revision would be most welcom.
wonderful if familiar w/stats + new to sem August 6, 2001
P. J. Rowan (Houston, TX United States)
23 out of 23 found this review helpful
This book is a wonderful guide to understanding a good range of basics about sem, getting models to work with Amos, and interpreting your output. You will need to be familiar with one of the stats packages that Amos is compatible with. Very much user-friendly in this complicated topic. All of the statistically-related and theory-related aspects are well-referenced, so you can find sources to reference for different aspects of sem. A great book to fill the gap between the Amos user's manual and books on sem in general. (contact Erlbaum about educ pricng.)
 Good approach to AMOS, sometimes hard to follow June 23, 2008
Agustin Tristan Lopez
The book is comprehensible in general, it permits to make the exercises in Amos very easily. Nevertheless some explanations are hard to follow, for instance, what she call the "smorgasbord" of quality indices and other technical issues are difficult to follow, I had to read several times to connect the ideas and get the final picture of what she tries to explain, and figure out why the output may indicate that the model may be bad and good at the same time.
Concerning explanations I prefer the book by Tenko Raykov about SEM, but it is not related to AMOS, so the book by Byrne is acceptable. in addition Byrne provides several examples that are very useful.
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