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  1. Using Mplus for Structural Equation Modeling: A Researcher's Guide
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  2. Using Mplus for Structural Equation Modeling: A Researcher's Guide

    [B00MYIHLCG]
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Additional Information

Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway’s 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis.


                                                     


”An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.” Kevin J. Grimm, University of California, Davis

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Specifications

Country
USA
Author
E . Kevin Kelloway
Binding
Kindle Edition
Edition
2
EISBN
9781483324890
Format
Kindle eBook
Label
SAGE Publications, Inc
Manufacturer
SAGE Publications, Inc
NumberOfPages
246
PublicationDate
2014-07-22
Publisher
SAGE Publications, Inc
ReleaseDate
2014-08-21
Studio
SAGE Publications, Inc
Most Helpful Customer Reviews

This text is good for those new to using M Plus for SEM.
The price is too high...
I decided to buy this book to supplement the required text for my graduate level SEM class. I wanted something that would be a simple desk reference, and this is definitely that book. I would agree that this is a "researcher's guide"- the topics presented are only covered at a minimum and there really isn't in-depth coverage of any one topic. This is fine, I just think that people should be aware that this is a very basic book and would be a good starting point for people who are COMPLETELY new to SEM. The majority of the text is annotated output from MPlus. The annotations are a nice touch and make interpreting the output very easy. I would definitely recommend this book to people interested in learning MPlus and the basics of SEM.
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