Structural Equation Modeling

Applications Using Mplus

Nonfiction, Social & Cultural Studies, Social Science, Statistics
Cover of the book Structural Equation Modeling by Jichuan Wang, Xiaoqian Wang, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jichuan Wang, Xiaoqian Wang ISBN: 9781118356302
Publisher: Wiley Publication: July 31, 2012
Imprint: Wiley Language: English
Author: Jichuan Wang, Xiaoqian Wang
ISBN: 9781118356302
Publisher: Wiley
Publication: July 31, 2012
Imprint: Wiley
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

More books from Wiley

Cover of the book Emulsion Formation and Stability by Jichuan Wang, Xiaoqian Wang
Cover of the book Hedge Fund Investing by Jichuan Wang, Xiaoqian Wang
Cover of the book Hypoglycemia For Dummies by Jichuan Wang, Xiaoqian Wang
Cover of the book A Companion to Persius and Juvenal by Jichuan Wang, Xiaoqian Wang
Cover of the book Share This Too by Jichuan Wang, Xiaoqian Wang
Cover of the book Retired Racing Greyhounds For Dummies by Jichuan Wang, Xiaoqian Wang
Cover of the book Green Biocatalysis by Jichuan Wang, Xiaoqian Wang
Cover of the book Building Your Own Home For Dummies by Jichuan Wang, Xiaoqian Wang
Cover of the book Managing Research, Development and Innovation by Jichuan Wang, Xiaoqian Wang
Cover of the book ABC of Diabetes by Jichuan Wang, Xiaoqian Wang
Cover of the book Lager im Bauwesen by Jichuan Wang, Xiaoqian Wang
Cover of the book Marine Ecological Field Methods by Jichuan Wang, Xiaoqian Wang
Cover of the book Trump Never Give Up by Jichuan Wang, Xiaoqian Wang
Cover of the book Neutrons in Soft Matter by Jichuan Wang, Xiaoqian Wang
Cover of the book Fog for 5G and IoT by Jichuan Wang, Xiaoqian Wang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy