Author : Barbara M Byrne
Total Page : 352
Publisher : Psychology Press
Publication Date : 2001 04 01
Structural Equation Modeling With AMOS Basic Concepts Applications and Programming Multivariate Applications Series
>> Terms Explanations do not correspond well to AMOS
For a book that presumes to describe the use of a particular software AMOS for conducting Structural Equation Modeling this book misses the mark by quite a bit Many of the terms and windows figures the author uses do not correspond well to those actually used in AMOS Also the description of what the author is doing is often not as clear as one would hope and I found myself often at a lost as to what the intent or purpose was for performing each step and why one may want to perform each procedure discussed Lastly this book spends the vast majority of its page space discussing factor analyses confirmatory factor analysis and the use of modification indices While this may be of some importance to some researchers the more theorectically and empirically meaningful discussion of assessing and comparing various causal models of association are tersely covered and and the rationale behind such analytical tools poorly explained Also the author seems to advocate for some practices in SEM that many other experts may not condone
>> Structional Equaltion Modelling with AMOS
The book is very good for both beginners and to some degree for intermediate persons Also chapters include many illustrative examples
Besides you can download the examples from a given web site which is usefull to solve the examples in the book by yourself
>> Good approach to AMOS sometimes hard to follow
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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