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eBook Structural Equation Modeling: Applications Using Mplus download

by Xiaoqian Wang,Jichuan Wang

eBook Structural Equation Modeling: Applications Using Mplus download ISBN: 1119978297
Author: Xiaoqian Wang,Jichuan Wang
Publisher: Wiley; 1 edition (October 1, 2012)
Language: English
Pages: 478
ePub: 1549 kb
Fb2: 1449 kb
Rating: 4.5
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Category: Math Sciences
Subcategory: Mathematics

Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariat. y. .Jichuan Wang, Children’s National Medical Center,The George Washington University, USA. Xiaoqian Wang, Mobley Group Pacific Lt.

Jichuan Wang, Children’s National Medical Center,The George Washington University, USA.

Use features like bookmarks, note taking and highlighting while reading Structural Equation Modeling: Applications Using Mplus (Wiley . A reference guide for applications of SEM using Mplus

Use features like bookmarks, note taking and highlighting while reading Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics). A reference guide for applications of SEM using Mplus. Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM).

Structural Equation Modeling book. Start by marking Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics) as Want to Read: Want to Read savin. ant to Read.

Wang, Jichuan, Wang, Xiaoqian. Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes

Wang, Jichuan, Wang, Xiaoqian. Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes.

A reference guide for applications of SEM using Mplus.

by Jichuan Wang & Xiaoqian Wang(auth. Your task is not to seek for love, but merely to seek and find all the barriers within yourself that you have built against it. ― Rumi.

A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide

A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM)

Structural Equation Modeling : Applications Using Mplus. by Jichuan Wang and Xiaoqian Wang.

Structural Equation Modeling with Mplus: Methods and Applications Wang Jichuan, Wang Xiaoqian Wiley 9781119978299 : A reference guide for applications of SEM using Mplus Structural Equatio. Поставляется из: Англии Описание: A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide.

Jichuan Wang; Xiaoqian Wang; Wei Wang. Focuses on the methods and practical aspects of SEM models using Mplus"

Jichuan Wang; Xiaoqian Wang; Wei Wang. This button opens a dialog that displays additional images for this product with the option to zoom in or out. Tell us if something is incorrect. Structural Equation Modeling : Applications Using Mplus. Jichuan Wang; Xiaoqian Wang; Wei Wang. Focuses on the methods and practical aspects of SEM models using Mplus"-.

A reference guide for applications of SEM using Mplus

Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results.

Key features:

Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using Mplus.Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes.Provides step-by-step instructions of model specification and estimation, as well as detail interpretation of Mplus results.Explores different methods for sample size estimate and statistical power analysis for SEM.

By following the examples provided in this book, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book.

Comments: (7)
inform
I decided to buy this book because this is the only book that covers a MIMIC model (Chapter 3.1) and latent transition analysis with a covariate and interaction with latent status at time 1 with two different parameterization approaches (Appendix 6.A).

Highly recommended for those starting out in SEM using Mplus as well as refreshers who need advanced techniques along with theoretical foundations.
Bundis
This book is an excellent guide to be used in conjunction with with the Mplus user guide. The descriptions about CFA, SEM in this book are as good as any that I have read in other books on CFA and SEM. Good set of examples are provided and a fair overview of interpreting each output is also provided. This would be a great graduate course book for those using Mplus.
Binar
Pretty sure this is the only book on this subject. When you've got only option, there's only one choice! :)
Winasana
It was great!
Beahelm
I enjoy reading this book. It is plain and simple to understand. After reading this book, I can run my SEM model using Mplus easily. I would recommend this book to my colleagues and students.
Iraraeal
I do recommend the book (clear, straight to the point, and very applied). Indeed, the author gently provided a prompt answers to emerged issues throughout the reading.
Kirinaya
great book
I bought this book in a hope to learn MPlus and SEM technique (I do have extensive training in econometrics and I am comfortable with a bunch of other statistical packages...somehow SEM and MPLus were missing from my toolbox).

The book unfortunately proved to be useless and really frustrating for the following reasons:
1. The data sets used for book examples are not available. This means I cannot recreate the results reported to see how it really works in MPlus.
2. It is not clear what version of MPlus the book uses (I see that the book mentions version 5 somewhere in the middle of the text). When I try to use the codes provided in the book using my data set and MPlus version 6, in some cases I am getting an error message, in some cases the output is not provided as it should, according to the book (for example, no standardized results are returned for CFA analysis when I copy the code from p. 43).
3. The book is full (i mean FULL) of typos. To detect some of them, you need to be familiar with matrix algebra.
4. The book contains a lot of distantly relevant material that should be in footnotes at best (like error structure assumptions used in LISREL... seriously, this book is not about LISREL, no need to show off the authors' knowledge of other statistical packages, IMHO).

All in all, this book might be helpful for somebody who already works with SEM/MPlus. For me, it was a waste of money.