Showing posts with label multivariate. Show all posts
Showing posts with label multivariate. Show all posts

12/01/2011

Structural Equation Modeling with EQS and EQS/WINDOWS: Basic Concepts, Applications, and Programming Review

Structural Equation Modeling with EQS and EQS/WINDOWS: Basic Concepts, Applications, and Programming
Average Reviews:

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Barbara Byrne manages to make a very complicated topic seem manageable and understandable. This book is ideal for people familiar with the basics of psychology statistics, but relatively new at structural equation modeling. My only complaints are that the index is a bit sparse, so I found myself thumbing through the book frequently; and sometimes the details of how to apply the concepts directly to EQS commands were left a bit unclear. However, overall this was an excellent starter book for structural equation newbies!

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Designed to help beginners estimate and test structural equation modeling (SEM) using the EQS approach, this book demonstrates a variety of SEM//EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author works through applications starting with a single sample approach to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modeling with Windows.


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9/21/2011

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series) Review

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
Average Reviews:

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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.)

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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; andthe published reference from which each application was drawn.

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