Structural Equation Modeling: Applications Using Mplus: Methods and Applications,1/e (Hardcover)
暫譯: 結構方程式模型:使用 Mplus 的應用:方法與應用,1/e (精裝本)
Jichuan Wang, Xiaoqian Wang
- 出版商: Wiley
- 出版日期: 2012-10-01
- 售價: $4,070
- 貴賓價: 9.5 折 $3,867
- 語言: 英文
- 頁數: 478
- 裝訂: Hardcover
- ISBN: 1119978297
- ISBN-13: 9781119978299
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其他版本:
Structural Equation Modeling: Applications Using Mplus 2/e
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商品描述
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.
商品描述(中文翻譯)
使用 Mplus 的結構方程模型應用參考指南
結構方程模型:使用 Mplus 的應用旨在作為教學資源和參考指南。本書以非數學術語撰寫,重點關注結構方程模型(SEM)的概念和實踐方面。書中展示了各種 SEM 模型的基本概念和範例,並介紹了最近開發的先進方法,如混合建模和基於模型的效能分析及 SEM 的樣本大小估算。統計建模程式 Mplus 也被介紹,為研究人員提供了一個靈活的工具,以便使用易於操作的介面和數據及分析結果的圖形顯示來分析他們的數據。
主要特點:
- 提供有用的 SEM 應用參考指南,同時系統性地展示各種先進的 SEM 模型,如使用 Mplus 的多群組和混合模型。
- 討論並展示使用橫斷面和縱向數據的各種 SEM 模型,涵蓋連續和類別結果。
- 提供模型規範和估算的逐步指導,以及對 Mplus 結果的詳細解釋。
- 探討 SEM 的樣本大小估算和統計效能分析的不同方法。
通過遵循本書提供的範例,讀者將能夠使用 Mplus 建立自己的 SEM 模型。社會科學和健康研究的教師、研究生和研究人員也將從本書中受益。